Top of Form
1.
Stream quality is based on the levels of many variables, including the following. Which of these variables is quantitative?
The amount of dissolved oxygen
The number of distinct species present
The amount of phosphorus
All of the above
2.
Which of the following is a discrete variable?
Weight of a fish
Length of a fish
None of the above
Number of toxins present in a fish
3.
During winter, red foxes hunt small rodents by jumping into thick snow cover. Researchers report that a hunting trip lasts on average 19 minutes and involves on average 7 jumps. They also report that, surprisingly, 79% of all successful jumps are made in the northeast direction. Three variables are mentioned in this report. The first variable mentioned is
ordinal.
quantitative and discrete.
quantitative and continuous.
categorical.
4.
A sample of 55 streams in severe distress was obtained during 2007. The following is a bar graph of the number of streams that are from the Northeast, Northwest, Southeast, or Southwest. In the bar graph, the bar for the Northeast has been omitted.
The number of streams from the Northeast is
35.
25.
15.
45.
5.
Here is a stemplot (with split stems) of body temperatures (in degrees Fahrenheit) for 65 healthy adult women.
The first quartile for this data set is
97.6.
97.5.
98.0.
97.9.
6.
Researchers measured the length of the central retrix (R1), a flight-involved tail feather, in 21 female long-tailed finches. Here is a boxplot of the length, in millimeters (mm).
Based on this boxplot, which of the following statements is TRUE?
The distribution of R1 lengths is bimodal.
The distribution of R1 lengths is mildly right-skewed with a high outlier.
75% of the birds in this study had an R1 length above 70 mm.
All of the above
7.
Geckos are lizards with specialized toe pads that enable them to easily climb all sorts of surfaces. A research team examined the adhesive properties of 7 Tokay geckos. Below are their toe-pad areas (in square centimeters, cm2).
5.6
4.9
6.0
5.1
5.5
5.1
7.5
To be an outlier, an observation must fall outside the range
4.9 to 7.5.
4.2 to 6.9.
3.75 to 7.35.
5.1 to 6.0.
8.
The median age of five people on a committee is 30 years. One of the members, whose age is 50 years, resigns. The median age of the remaining four people in the committee is
not able to be determined from the information given.
25 years.
30 years.
40 years.
9.
By inspection, determine which of the following sets of numbers has the smallest standard deviation.
7, 8, 9, 10
0, 0, 10, 10
0, 1, 2, 3
5, 5, 5, 5
10.
The volume of oxygen consumed (in liters per minute) while a person is at rest and while he or she is exercising (running on a treadmill) was measured for each of 50 subjects. The goal is to determine if the volume of oxygen consumed during aerobic exercise can be estimated from the amount consumed at rest. The results are plotted below.
The scatterplot sugges ...
Top of Form1. Some variables that were recorded while studyi.docxedwardmarivel
Top of Form
1.
Some variables that were recorded while studying diets of sharks are given below. Which of the variables is categorical?
The length of the shark being observed
The type of shark being observed
The amount of food eaten in a day by the shark being observed
The age of the shark being observed
2.
During winter, red foxes hunt small rodents by jumping into thick snow cover. Researchers report that a hunting trip lasts on average 19 minutes and involves on average 7 jumps. They also report that, surprisingly, 79% of all successful jumps are made in the northeast direction. Three variables are mentioned in this report. The first variable mentioned is
quantitative and discrete.
ordinal.
quantitative and continuous.
categorical.
3.
Here is a stemplot of body temperature (in degrees Fahrenheit) for 65 healthy adult women.
The number of women in the sample that have a body temperature lower than 98 degrees Fahrenheit is
15.
45.
20.
50.
4.
Here is a histogram of the yearly number of unprovoked attacks by alligators on people in Florida over a 33-year period.
What is the overall shape of the distribution?
Roughly symmetric with an outlier
Slightly skewed to the right
Bimodal
Strongly skewed to the left
5.
A sample of 20 endangered species was obtained and the length of time (in months) since being placed on the list was recorded for each species. A stemplot of these data follows. In the stemplot, 5|2 represents 52 months.
The first quartile of the length of time (in months) since being placed on the list for these 20 species is
74.
59.5.
75.5
5.
6.
Here is a dotplot of migraine intensity (on a scale of 1 to 10) for 29 adults suffering from recurring migraines.
The third quartile for this data set is
9.25.
10.
9.5.
9.
7.
A maze experiment uses 24 lab rats of various ages, as summarized below.
Age (in months)
Number of rats
2
4
3
6
4
6
5
4
7
3
9
1
What is the median rat age (in months) for this maze experiment?
4
5
4.5
3.5
8.
Geckos are lizards with specialized toe pads that enable them to easily climb all sorts of surfaces. A research team examined the adhesive properties of 7 Tokay geckos. Below are their toe-pad areas (in square centimeters, cm2).
5.6
4.9
6.0
5.1
5.5
5.1
7.5
Rounded to two decimal places, the mean toe pad area in this sample of geckos is _______ cm2.
9.
By inspection, determine which of the following sets of numbers has the smallest standard deviation.
7, 8, 9, 10
5, 5, 5, 5
0, 0, 10, 10
0, 1, 2, 3
10.
A researcher states that the survival time of an organism is negatively related to the amount of a specific pollutant present in the ecosystem. This means that
above-average amounts of pollutant tend to accompany below-average survival times.
below-average amounts of pollutant tend to accompany below-average survival times.
below-average amounts of pollutant can be accompanied by either above- or below-average survival times.
above-av ...
A Comparison Of Fitness Scallng Methods In Evolutionary AlgorithmsTracy Hill
This document studies the performance of two selection mechanisms - stochastic universal sampling and proportional selection - in genetic algorithms. It discusses experimental results comparing the two methods when optimizing highly multimodal and unimodal test functions. The results indicate that stochastic universal sampling produces individuals of better quality compared to proportional selection alone. Stochastic universal sampling achieved the best average error rates, coming closer to the known optimal values for the test functions.
This chapter discusses exploring relationships between two quantitative variables using scatterplots and measuring the strength of linear relationships using correlation coefficients. Scatterplots show the joint distribution of two variables by plotting one on the x-axis and the other on the y-axis. Interpreting scatterplots involves examining the overall pattern, direction, strength, and outliers of the relationship. Correlation coefficients measure the direction and strength of linear relationships between -1 and 1. The chapter also discusses adding categorical variables to scatterplots and facts about correlation such as its sensitivity to outliers.
A study on the ANOVA ANALYSIS OF VARIANCE.pptxjibinjohn140
ANOVA (analysis of variance) is a statistical method used to test if the means of three or more samples or groups are equal. It divides the total variation in a data set into variation between groups and variation within groups. An F-test is used to compare the ratio of between-group variation and within-group variation. If the F-calculated value is less than the F-critical value, the null hypothesis that the sample means are equal is accepted. ANOVA can test for differences between more than two groups which makes it more efficient than multiple t-tests.
The document analyzes the relationship between human birth rates and death rates in 18 countries. A scatter plot showed a strong negative correlation, indicating that higher birth rates were associated with lower death rates. Calculations for standard deviation, least squares regression, and Pearson's correlation coefficient supported this relationship. A chi-square test rejected independence, showing that birth and death rates were dependent. However, limitations included older data and lack of representation from all global regions. Overall, the analysis found an interdependent relationship between birth and death rates.
The document summarizes a study that analyzed the relationship between body mass and carapace length in four chelonian species: Testudo graeca, Testudo hermanni, Emys orbicularis, and Chrysemys scripta. The study found allometric equations describing this relationship for each species, with carapace length generally proportional to body mass raised to the 0.34 power. A comprehensive equation for all species combined supported this finding.
Qualitative Analysis of Prey Predator System With Immigrant PreyIJERDJOURNAL
ABSTRACT: The predator prey system with immigrant prey is introduced and studied through a suitable mathematical model. Existence conditions for interior equilibrium point and their stability is studied under suitable ecological restrictions. Global stability of the system around equilibrium point is also discussed.
Top of Form1. Some variables that were recorded while studyi.docxedwardmarivel
Top of Form
1.
Some variables that were recorded while studying diets of sharks are given below. Which of the variables is categorical?
The length of the shark being observed
The type of shark being observed
The amount of food eaten in a day by the shark being observed
The age of the shark being observed
2.
During winter, red foxes hunt small rodents by jumping into thick snow cover. Researchers report that a hunting trip lasts on average 19 minutes and involves on average 7 jumps. They also report that, surprisingly, 79% of all successful jumps are made in the northeast direction. Three variables are mentioned in this report. The first variable mentioned is
quantitative and discrete.
ordinal.
quantitative and continuous.
categorical.
3.
Here is a stemplot of body temperature (in degrees Fahrenheit) for 65 healthy adult women.
The number of women in the sample that have a body temperature lower than 98 degrees Fahrenheit is
15.
45.
20.
50.
4.
Here is a histogram of the yearly number of unprovoked attacks by alligators on people in Florida over a 33-year period.
What is the overall shape of the distribution?
Roughly symmetric with an outlier
Slightly skewed to the right
Bimodal
Strongly skewed to the left
5.
A sample of 20 endangered species was obtained and the length of time (in months) since being placed on the list was recorded for each species. A stemplot of these data follows. In the stemplot, 5|2 represents 52 months.
The first quartile of the length of time (in months) since being placed on the list for these 20 species is
74.
59.5.
75.5
5.
6.
Here is a dotplot of migraine intensity (on a scale of 1 to 10) for 29 adults suffering from recurring migraines.
The third quartile for this data set is
9.25.
10.
9.5.
9.
7.
A maze experiment uses 24 lab rats of various ages, as summarized below.
Age (in months)
Number of rats
2
4
3
6
4
6
5
4
7
3
9
1
What is the median rat age (in months) for this maze experiment?
4
5
4.5
3.5
8.
Geckos are lizards with specialized toe pads that enable them to easily climb all sorts of surfaces. A research team examined the adhesive properties of 7 Tokay geckos. Below are their toe-pad areas (in square centimeters, cm2).
5.6
4.9
6.0
5.1
5.5
5.1
7.5
Rounded to two decimal places, the mean toe pad area in this sample of geckos is _______ cm2.
9.
By inspection, determine which of the following sets of numbers has the smallest standard deviation.
7, 8, 9, 10
5, 5, 5, 5
0, 0, 10, 10
0, 1, 2, 3
10.
A researcher states that the survival time of an organism is negatively related to the amount of a specific pollutant present in the ecosystem. This means that
above-average amounts of pollutant tend to accompany below-average survival times.
below-average amounts of pollutant tend to accompany below-average survival times.
below-average amounts of pollutant can be accompanied by either above- or below-average survival times.
above-av ...
A Comparison Of Fitness Scallng Methods In Evolutionary AlgorithmsTracy Hill
This document studies the performance of two selection mechanisms - stochastic universal sampling and proportional selection - in genetic algorithms. It discusses experimental results comparing the two methods when optimizing highly multimodal and unimodal test functions. The results indicate that stochastic universal sampling produces individuals of better quality compared to proportional selection alone. Stochastic universal sampling achieved the best average error rates, coming closer to the known optimal values for the test functions.
This chapter discusses exploring relationships between two quantitative variables using scatterplots and measuring the strength of linear relationships using correlation coefficients. Scatterplots show the joint distribution of two variables by plotting one on the x-axis and the other on the y-axis. Interpreting scatterplots involves examining the overall pattern, direction, strength, and outliers of the relationship. Correlation coefficients measure the direction and strength of linear relationships between -1 and 1. The chapter also discusses adding categorical variables to scatterplots and facts about correlation such as its sensitivity to outliers.
A study on the ANOVA ANALYSIS OF VARIANCE.pptxjibinjohn140
ANOVA (analysis of variance) is a statistical method used to test if the means of three or more samples or groups are equal. It divides the total variation in a data set into variation between groups and variation within groups. An F-test is used to compare the ratio of between-group variation and within-group variation. If the F-calculated value is less than the F-critical value, the null hypothesis that the sample means are equal is accepted. ANOVA can test for differences between more than two groups which makes it more efficient than multiple t-tests.
The document analyzes the relationship between human birth rates and death rates in 18 countries. A scatter plot showed a strong negative correlation, indicating that higher birth rates were associated with lower death rates. Calculations for standard deviation, least squares regression, and Pearson's correlation coefficient supported this relationship. A chi-square test rejected independence, showing that birth and death rates were dependent. However, limitations included older data and lack of representation from all global regions. Overall, the analysis found an interdependent relationship between birth and death rates.
The document summarizes a study that analyzed the relationship between body mass and carapace length in four chelonian species: Testudo graeca, Testudo hermanni, Emys orbicularis, and Chrysemys scripta. The study found allometric equations describing this relationship for each species, with carapace length generally proportional to body mass raised to the 0.34 power. A comprehensive equation for all species combined supported this finding.
Qualitative Analysis of Prey Predator System With Immigrant PreyIJERDJOURNAL
ABSTRACT: The predator prey system with immigrant prey is introduced and studied through a suitable mathematical model. Existence conditions for interior equilibrium point and their stability is studied under suitable ecological restrictions. Global stability of the system around equilibrium point is also discussed.
A Moment Inequality for Overall Decreasing Life Class of Life Distributions w...inventionjournals
:A moment inequality is derived for the system whose life distribution is in an overall decreasing life (ODL) class of life distributions. A new nonparametric test statistic for testing exponentiality against ODL is investigated based on this inequality. The asymptotic normality of the proposed statistic is presented. Pitman's asymptotic efficiency, power and critical values of this test are calculated to assess the performance of the test. Real examples are given to elucidate the use of the proposed test statistic in the reliability analysis. Wealso proposed a test for testing exponentiality versus ODL for right censored data and the power estimates of this test are also simulated for censored data for some commonly used distributions in reliability. Finally, real data are used as an example for practical problems.
The document discusses various probability distributions including the normal, binomial, Poisson, uniform, and chi-square distributions. It provides examples of when each distribution would be used and explains key properties such as mean, variance, and standard deviation. It also covers topics like the central limit theorem, sampling distributions, and how inferential statistics is used to generalize from samples to populations.
1) Analysis of variance (ANOVA) is a statistical technique developed by R.A. Fisher in 1920 to analyze the differences between group means and their associated procedures.
2) ANOVA divides the total variation into different parts that can be attributed to various sources of variation - between groups, within groups, etc.
3) There are two main classifications of ANOVA - one-way ANOVA, which looks at the effect of one factor on the dependent variable, and two-way ANOVA, which analyzes the effects of two factors.
4) ANOVA has many applications in fields like pharmacy, biology, agriculture, and business research to study the effects of different treatments, products, or interventions.
This document discusses moments, skewness, kurtosis, and several statistical distributions including binomial, Poisson, hypergeometric, and chi-square distributions. It defines key terms such as moment ratios, central moments, theorems, skewness, kurtosis, and correlation. Properties and applications of the binomial, Poisson, and hypergeometric distributions are provided. Finally, the document discusses the chi-square test for goodness of fit and independence.
This document summarizes a graduate student's research using Bayesian hierarchical models to predict the space-time distribution of Atlantic seabirds. The student analyzed marine bird count data from NOAA to develop Poisson distribution models for species abundance and create density maps showing probabilities of observing birds in different areas. The student chose the Poisson over a negative binomial distribution for its interpretability and fewer estimated parameters. Markov chain Monte Carlo methods were used to approximate the likelihood distributions.
Statistics for Social Workers J. Timothy Stocks tatr.docxdarwinming1
Statistics for Social
Workers
J. Timothy Stocks
tatrstrrsrefers to a branch ot mathematics dealing '"'th the direct de<erip-
tion of sample or population characteristics and the an.ll)'5i• of popula·
lion characteri>tics b)' inference from samples. It co•·ers J wide range of
content, including th~ collection, organization, and interpretJtion of
data. It is divided into two broad categoric>: de;cnptive >lathrics and
inferential >lJt ost ics.
Descriptive statistics involves the CQnlputation of statistics or pnr.1meters to describe a
sample' or a popu lation _~ All t he data arc available and used in <.omputntlon o f t hese
aggregate characteristics. T his may involve reports of central tendency or v.~r i al>il i ty of
single variables (univariate statistics). ll also may involve enumeration of the I'Ciation-
sh ips between or among two or moo·e variables' (bivariate or multivariJte stot istics}.
Descriptiw statistics arc used 10 provide information about a large m.b> of data in a form
that ma)' be easily understood. The defining characteristic of descriptive ;tJtistks b that
the product is a report, not .on inference.
Inferential statisti<> imolvc' the construction of a probable description of the charac·
teristics of a population b•sed on s.unple data. We compute statistics from .1 pJrtial;et of
the population data (a samplt) to estimate the population parameters. Thrse t<timates
are not exact, but \\·e can mo~k..: reawnable judgments as w ho\V preruc our c~lim:ues are.
Included within inferential statiwcs i;, hypothesis testing, a procedure for U>ing mathe-
m:uics tO provide evidence for the exi<tence of relationships between o r among variable;.
T bis testing is a form of inferential •"l~umem.
Descriptive Statistics
Measures of Central Tendency
Measures of central tenden')' are individual numbers that typify the tot.tl set of ~cores.
The three most frequently used mca>urcs of centraltendenq are the arithmetic mean, the
mode, and the median.
Arir!Jmeric .\1ea11. The arithmetic mean usually is simply called the mca11. It also is called
the m-erage. It is computed b)' adding up all of a set of scores and dwidmg by the number
of scores in the set. The algebraic representation of this is
75
76 PA11 f I • OuANTifAllVi AffkOAGHU: fouHo~;noM Of Ot.r"' CO ltf(TIO'J
~, =l:: X ,
11
where 11 represents the popu I at ion mean, X represems an individual score, and rr is t he
number of scores being adde(l.
The formula for the sample mean is the same except t hat the mean is represented by
the variable lener with a bar above it:
- l:;X X= --.
II
Following are t he numbers of class periods skipped by 20 seventh-graders d uring
I week: {1, 6,2,6, 15,2(),3,20, 17, 11, 15, 18,8,3, 17, 16, 14, 17,0, 101. Wecomputethe
mean by adding up the class periods missed and dh•iding by 20:
l:;X 219 •
J.l = -- = - = 10.9o.
II 20
Mode. The mode is the most frequently appearing score. It really is not so much a m ...
Statistics for Social Workers J. Timothy Stocks tatr.docxrafaelaj1
Statistics for Social
Workers
J. Timothy Stocks
tatrstrrsrefers to a branch ot mathematics dealing '"'th the direct de<erip-
tion of sample or population characteristics and the an.ll)'5i• of popula·
lion characteri>tics b)' inference from samples. It co•·ers J wide range of
content, including th~ collection, organization, and interpretJtion of
data. It is divided into two broad categoric>: de;cnptive >lathrics and
inferential >lJt ost ics.
Descriptive statistics involves the CQnlputation of statistics or pnr.1meters to describe a
sample' or a popu lation _~ All t he data arc available and used in <.omputntlon o f t hese
aggregate characteristics. T his may involve reports of central tendency or v.~r i al>il i ty of
single variables (univariate statistics). ll also may involve enumeration of the I'Ciation-
sh ips between or among two or moo·e variables' (bivariate or multivariJte stot istics}.
Descriptiw statistics arc used 10 provide information about a large m.b> of data in a form
that ma)' be easily understood. The defining characteristic of descriptive ;tJtistks b that
the product is a report, not .on inference.
Inferential statisti<> imolvc' the construction of a probable description of the charac·
teristics of a population b•sed on s.unple data. We compute statistics from .1 pJrtial;et of
the population data (a samplt) to estimate the population parameters. Thrse t<timates
are not exact, but \\·e can mo~k..: reawnable judgments as w ho\V preruc our c~lim:ues are.
Included within inferential statiwcs i;, hypothesis testing, a procedure for U>ing mathe-
m:uics tO provide evidence for the exi<tence of relationships between o r among variable;.
T bis testing is a form of inferential •"l~umem.
Descriptive Statistics
Measures of Central Tendency
Measures of central tenden')' are individual numbers that typify the tot.tl set of ~cores.
The three most frequently used mca>urcs of centraltendenq are the arithmetic mean, the
mode, and the median.
Arir!Jmeric .\1ea11. The arithmetic mean usually is simply called the mca11. It also is called
the m-erage. It is computed b)' adding up all of a set of scores and dwidmg by the number
of scores in the set. The algebraic representation of this is
75
76 PA11 f I • OuANTifAllVi AffkOAGHU: fouHo~;noM Of Ot.r"' CO ltf(TIO'J
~, =l:: X ,
11
where 11 represents the popu I at ion mean, X represems an individual score, and rr is t he
number of scores being adde(l.
The formula for the sample mean is the same except t hat the mean is represented by
the variable lener with a bar above it:
- l:;X X= --.
II
Following are t he numbers of class periods skipped by 20 seventh-graders d uring
I week: {1, 6,2,6, 15,2(),3,20, 17, 11, 15, 18,8,3, 17, 16, 14, 17,0, 101. Wecomputethe
mean by adding up the class periods missed and dh•iding by 20:
l:;X 219 •
J.l = -- = - = 10.9o.
II 20
Mode. The mode is the most frequently appearing score. It really is not so much a m.
Statistics for Social Workers J. Timothy Stocks tatr.docxsusanschei
Statistics for Social
Workers
J. Timothy Stocks
tatrstrrsrefers to a branch ot mathematics dealing '"'th the direct de<erip-
tion of sample or population characteristics and the an.ll)'5i• of popula·
lion characteri>tics b)' inference from samples. It co•·ers J wide range of
content, including th~ collection, organization, and interpretJtion of
data. It is divided into two broad categoric>: de;cnptive >lathrics and
inferential >lJt ost ics.
Descriptive statistics involves the CQnlputation of statistics or pnr.1meters to describe a
sample' or a popu lation _~ All t he data arc available and used in <.omputntlon o f t hese
aggregate characteristics. T his may involve reports of central tendency or v.~r i al>il i ty of
single variables (univariate statistics). ll also may involve enumeration of the I'Ciation-
sh ips between or among two or moo·e variables' (bivariate or multivariJte stot istics}.
Descriptiw statistics arc used 10 provide information about a large m.b> of data in a form
that ma)' be easily understood. The defining characteristic of descriptive ;tJtistks b that
the product is a report, not .on inference.
Inferential statisti<> imolvc' the construction of a probable description of the charac·
teristics of a population b•sed on s.unple data. We compute statistics from .1 pJrtial;et of
the population data (a samplt) to estimate the population parameters. Thrse t<timates
are not exact, but \\·e can mo~k..: reawnable judgments as w ho\V preruc our c~lim:ues are.
Included within inferential statiwcs i;, hypothesis testing, a procedure for U>ing mathe-
m:uics tO provide evidence for the exi<tence of relationships between o r among variable;.
T bis testing is a form of inferential •"l~umem.
Descriptive Statistics
Measures of Central Tendency
Measures of central tenden')' are individual numbers that typify the tot.tl set of ~cores.
The three most frequently used mca>urcs of centraltendenq are the arithmetic mean, the
mode, and the median.
Arir!Jmeric .\1ea11. The arithmetic mean usually is simply called the mca11. It also is called
the m-erage. It is computed b)' adding up all of a set of scores and dwidmg by the number
of scores in the set. The algebraic representation of this is
75
76 PA11 f I • OuANTifAllVi AffkOAGHU: fouHo~;noM Of Ot.r"' CO ltf(TIO'J
~, =l:: X ,
11
where 11 represents the popu I at ion mean, X represems an individual score, and rr is t he
number of scores being adde(l.
The formula for the sample mean is the same except t hat the mean is represented by
the variable lener with a bar above it:
- l:;X X= --.
II
Following are t he numbers of class periods skipped by 20 seventh-graders d uring
I week: {1, 6,2,6, 15,2(),3,20, 17, 11, 15, 18,8,3, 17, 16, 14, 17,0, 101. Wecomputethe
mean by adding up the class periods missed and dh•iding by 20:
l:;X 219 •
J.l = -- = - = 10.9o.
II 20
Mode. The mode is the most frequently appearing score. It really is not so much a m.
Chapter 6 simple regression and correlationRione Drevale
There is a significant positive correlation between amount of feed intake and live weight of broilers. The correlation coefficient (r) between feed intake and live weight is 0.726, which is statistically significant with p<0.017. On average, broilers gain approximately 0.5 kg of live weight for every 1 kg of feed consumed.
Please Subscribe to this Channel for more solutions and lectures
http://www.youtube.com/onlineteaching
Elementary Statistics Practice Test 5
Module 5
Chapter 10: Correlation and Regression
Chapter 11: Goodness of Fit and Contingency Tables
Chapter 12: Analysis of Variance
- Analysis of variance (ANOVA) can be used to test if there are significant differences between the means of three or more populations. It tests the null hypothesis that all population means are equal.
- Key terms in ANOVA include response variable, factor, treatment, and level. A factor is the independent variable whose levels make up the treatments being compared.
- ANOVA partitions total variation in data into variations due to treatments and random error. If the treatment variation is large compared to error variation, the null hypothesis of equal means is rejected.
1. A small accounting firm pays each of its five clerks $35,000, t.docxSONU61709
1. A small accounting firm pays each of its five clerks $35,000, two junior accountants $80,000 each, and the firm's owner $350,000. What is the mean salary paid at this firm? (Round your answer to the nearest whole number.)
$
How many of the employees earn less than the mean?
employees
What is the median salary?
$
2. A small accounting firm pays each of its five clerks $35000, two junior accountants $90000 each, and the firm's owner $256000.
What is the mean salary paid at this firm?
How many of the employees earn less than the mean?
What is the median salary?
If this firm gives no raises to the clerks and junior accountants, but the owner now has a salary of $435000.
How does this change affect the mean?
The mean increases by $ .
How does it affect the median?
The median increases by $ .
3. A study of diet and weight gain deliberately overfed 16 volunteers for eight weeks. The mean increase in fat was x = 2.63 kilograms and the standard deviation was s = 1.21 kilograms. What are x and s in pounds? (A kilogram is 2.2 pounds.)
x
=
s
=
4.Every few years, the National Assessment of Educational Progress asks a national sample of eighth-graders to perform the same math tasks. The goal is to get an honest picture of progress in math. Suppose these are the last few national mean scores, on a scale of 0 to 500.
Year
1990
1992
1996
2000
2003
2005
2008
Score
265
266
270
271
278
279
281
(a) Make a time plot of the mean scores, by hand. This is just a scatterplot of score against year. There is a slow linear increasing trend. (Do this on your own.)
(b) Find the regression line of mean score on time step-by-step. First calculate the mean and standard deviation of each variable and their correlation (use a calculator with these functions). Then find the equation of the least-squares line from these. (Round your answers to two decimal places.)
= + x
Draw the line on your scatterplot. What percent of the year-to-year variation in scores is explained by the linear trend? (Round your answer to one decimal place.)
%
(c) Now use software or the regression function on your calculator to verify your regression line. (Do this on your own.
5. A student wonders if tall women tend to date taller men than do short women. She measures herself, her dormitory roommate, and the women in the adjoining rooms; then she measures the next man each woman dates. The data (heights in inches) are listed below.
Women (x)
65
63
63
64
69
64
Men (y)
72
67
69
69
69
68
(a) Make a scatterplot of these data. (Do this on paper. Your instructor may ask you to turn this in.) Based on the scatterplot, do you expect the correlation to be positive or negative? Near ± 1 or not?
The correlation should be positive. It should be near 1.The correlation should be negative. It should be near -1. The correlation should be positive. It should not be near 1.The correlation should be negative. It should not be near -1.
(b) Find the correlation r between the heigh ...
Chi square test- a test of association, Pearson's chi square test of independence, Goodness of fit test, chi square test of homogeneity, advantages and disadvantages of chi square test.
This document discusses correlation and regression. Correlation describes the strength and direction of a linear relationship between two variables, while regression allows predicting a dependent variable from an independent variable. It provides examples of calculating the correlation coefficient r to determine the strength and direction of relationships between variables like education and self-esteem or family income and number of children. The regression equation describes the linear regression line and can be used to predict values of the dependent variable from known values of the independent variable.
Elzaki Decomposition Method for Solving Epidemic ModelAI Publications
This study investigate the application of Elzaki Decomposition Method in finding the approximate solution to the problem of the spread of a non-fatal disease in a population which is assumed to have constant size over the period of the epidemic. Epidemic models are nonlinear system of ordinary differential equation that has no analytic solution. The series solutions obtained by Elzaki Decomposition are compared with the existing results in the literatures; likewise, some plots were presented.The obtained results validate the efficiency of the method.
Multiple Imputation of Missing Blood Pressure Covariates in Survival Analysis examines how to handle missing blood pressure (BP) measurements in survival analysis. BP was not measured for about 12.5% of participants. Those with missing BP had higher mortality rates, potentially distorting the influence of BP on survival. The study uses multiple imputation to generate plausible BP values for participants with missing data and pools results from multiple imputed datasets to account for uncertainty in imputed values.
This document provides an overview of analysis of variance (ANOVA) including:
- ANOVA was developed by R.A. Fisher in 1920 to analyze differences between multiple sample means.
- It compares variance between groups to variance within groups using an F-statistic ratio.
- ANOVA can be one-way to analyze one variable or two-way to analyze effects of two variables.
- Applications of ANOVA include pharmaceutical research, clinical trials, agriculture, marketing, and more.
This document provides an overview of simple linear regression and correlation analysis. It defines regression as estimating the relationship between two variables and correlation as measuring the strength and direction of that relationship. The key points covered include:
- Regression finds an estimating equation to relate known and unknown variables. Correlation determines how well that equation fits the data.
- Pearson's correlation coefficient r measures the linear relationship between two variables on a scale from -1 to 1.
- The coefficient of determination r2 indicates what percentage of variation in the dependent variable is explained by the independent variable.
- Statistical tests can evaluate whether a correlation is statistically significant or could be due to chance.
This document provides information on various descriptive statistical methods for presenting continuous data, including tabular methods like frequency distributions and graphical methods like histograms, frequency polygons, stem-and-leaf plots, and cumulative frequency plots. It discusses how these different methods organize and display data in a way that helps readers understand the distribution at a glance. Frequency distributions involve grouping data into intervals and showing the number or frequency of observations within each interval. Histograms and frequency polygons are useful ways to display frequency distributions graphically.
Populations LabLAB #3, PART I ESTIMATING POPULATION SIZEO.docxharrisonhoward80223
Populations Lab
LAB #3, PART I: ESTIMATING POPULATION SIZE
OBJECTIVE: To estimate population sizes and dynamics, you will be able to:
1. Compare and contrast methods of estimating population size (CLO #1)
2. Explain and use simple mathematical models of population dynamics (CLO #2)
3. Synthesize your research with the primary literature in ecology (CLO #3)
BACKGROUND INFORMATION:
Estimating the size of populations of organisms is a central problem in field ecology. It is one of the most basic pieces of information we can collect and is an important start for other ecological studies and conservation and management efforts. There are several ways to evaluate organism count (pop. size) or density (count/area), which are two means of characterizing populations
Sometimes, it is sufficient to evaluate organism relative abundance (relative representation of a species in a particular location). In that case, an ecologist can use indices. Indices are anything that can be correlated to the number of organisms in a given habitat (e. g., feces pellets, browsed branches, tracks, plant cover, etc.).
When population size is necessary, population estimates can be developed with a number of sampling and mathematical methods. Since it is rarely feasible to count an entire population, ecologists count a portion of the population and then estimate the total population size using mathematical functions. This can be done a number of ways, but in this exercise we will use two of the most common: density methods and mark-recapture methods.
Density method: In this method, ecologists will count the number of individuals in a prescribed area and then scale this measurement up to estimate the whole population size. Transect methods, in which an ecologist traverses a transect and counts individuals at specific locations along the line, are commonly used for plants and occasionally for animals.
Density methods require a few key assumptions:
1. The population is confined to a specific area
2. Individuals are readily detectable
3. Count areas are extensive relative to area occupied by population
Using these assumptions, ecologists use various models to calculate population size. In this lab, you will use a simple Seber (1973) model:
where N = the population estimate, N0 = the average number of organisms found in a plot. And p = the ratio of the individual plot area to total area (e.g. 25 cm2/820 cm2). Once you have calculated No, use the equation above to calculate N.
Confidence intervals provide a measure of the precision of our estimate (population size, N, in this case). A 95% confidence interval is a range of values that is thought to contain the true population size 95% of the time…that is, if you repeat your sampling and confidence interval calculation 100 times, the confidence intervals will capture the true value 95 of those times. To calculate the 95% confidence interval we can simply calculate the upper and lower confidence limits for N0 and then .
Deadline 6 PM Friday September 27, 201310 Project Management Que.docxedwardmarivel
Deadline 6 PM Friday September 27, 2013
10 Project Management Questions with sub-questions under each question. A word document is provided with all questions and directions.
Problem 1
The following data were obtained from a project to create a new portable electronic.
Activity
Duration
Predecessors
A
5 Days
---
B
6 Days
---
C
8 Days
---
D
4 Days
A, B
E
3 Days
C
F
5 Days
D
G
5 Days
E, F
H
9 Days
D
I
12 Days
G
Step 1: Construct a network diagram for the project.
Step 2: Answer the following questions:
a)
What is the Scheduled Completion of the Project?
b)
What is the Critical Path of the Project?
c)
What is the ES for Activity D?
d)
What is the LS for Activity G?
e)
What is the EF for Activity B?
f)
What is the LF for Activity H?
g)
What is the float for Activity I?
Problem 2
The following data were obtained from a project to build a pressure vessel:
Activity
Duration
Predecessors
A
6 weeks
---
B
6 weeks
---
C
5 weeks
B
D
4 weeks
A, C
E
5 weeks
B
F
7 weeks
D, E, G
G
4 weeks
B
H
8 weeks
F
I
5 weeks
G
J
3 week
I
Step 1: Construct a network diagram for the project.
Step 2: Answer the following questions:
a)
Calculate the scheduled completion time.
b)
Identify the critical path
c)
What is the slack time (float) for activity A?
d)
What is the slack time (float) for activity D?
e) What is the slack time (float) for activity E?
f) What is the slack time (float) for activity G?
Problem 3
The following data were obtained from a project to design a new software package:
Activity
Duration
Predecessors
A
5 Days
---
B
8 Days
---
C
6 Days
A
D
4 Days
C, B
E
5 Days
A
F
4 Days
D, E, G
G
4 Days
B, C
H
3 Day
G
Step 1: Construct a network diagram for the project.
Step 2: Answer the following questions:
a)
Calculate the scheduled completion time.
b)
Identify the critical path(s)
c)
What is the slack time (float) for activity B?
d)
What is the slack time (float) for activity D?
e) What is the slack time (float) for activity E?
f) What is the slack time (float) for activity G?
Problem 4
The following data were obtained from an in-house MIS project:
Activity
Duration
Predecessors
A
5 Days
---
B
8 Days
---
C
5 Days
A
D
4 Days
B
E
5 Days
B
F
3 Day
C, D
G
7 Days
C, D
H
6 Days
E, F, G
I
9 Days
E, F
Step 1: Construct a network diagram for the project.
Step 2: Answer the following questions:
a)
Calculate the scheduled completion time.
b)
Identify the critical path
c)
What is the slack time (float) for activity A?
d)
What is the slack time (float) for activity D?
e)
What is the slack time (float) for activity E?
f)
What is the slack time (float) for activity F?
PROBLEM 5
Use the network diagram below and the additional information provided to answer the corresponding questions.
a) Give the crash cost per day per activity.
b) Which activities should be crash.
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1) Analysis of variance (ANOVA) is a statistical technique developed by R.A. Fisher in 1920 to analyze the differences between group means and their associated procedures.
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Statistics for Social Workers J. Timothy Stocks tatr.docxdarwinming1
Statistics for Social
Workers
J. Timothy Stocks
tatrstrrsrefers to a branch ot mathematics dealing '"'th the direct de<erip-
tion of sample or population characteristics and the an.ll)'5i• of popula·
lion characteri>tics b)' inference from samples. It co•·ers J wide range of
content, including th~ collection, organization, and interpretJtion of
data. It is divided into two broad categoric>: de;cnptive >lathrics and
inferential >lJt ost ics.
Descriptive statistics involves the CQnlputation of statistics or pnr.1meters to describe a
sample' or a popu lation _~ All t he data arc available and used in <.omputntlon o f t hese
aggregate characteristics. T his may involve reports of central tendency or v.~r i al>il i ty of
single variables (univariate statistics). ll also may involve enumeration of the I'Ciation-
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Descriptiw statistics arc used 10 provide information about a large m.b> of data in a form
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the population data (a samplt) to estimate the population parameters. Thrse t<timates
are not exact, but \\·e can mo~k..: reawnable judgments as w ho\V preruc our c~lim:ues are.
Included within inferential statiwcs i;, hypothesis testing, a procedure for U>ing mathe-
m:uics tO provide evidence for the exi<tence of relationships between o r among variable;.
T bis testing is a form of inferential •"l~umem.
Descriptive Statistics
Measures of Central Tendency
Measures of central tenden')' are individual numbers that typify the tot.tl set of ~cores.
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Arir!Jmeric .\1ea11. The arithmetic mean usually is simply called the mca11. It also is called
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of scores in the set. The algebraic representation of this is
75
76 PA11 f I • OuANTifAllVi AffkOAGHU: fouHo~;noM Of Ot.r"' CO ltf(TIO'J
~, =l:: X ,
11
where 11 represents the popu I at ion mean, X represems an individual score, and rr is t he
number of scores being adde(l.
The formula for the sample mean is the same except t hat the mean is represented by
the variable lener with a bar above it:
- l:;X X= --.
II
Following are t he numbers of class periods skipped by 20 seventh-graders d uring
I week: {1, 6,2,6, 15,2(),3,20, 17, 11, 15, 18,8,3, 17, 16, 14, 17,0, 101. Wecomputethe
mean by adding up the class periods missed and dh•iding by 20:
l:;X 219 •
J.l = -- = - = 10.9o.
II 20
Mode. The mode is the most frequently appearing score. It really is not so much a m ...
Statistics for Social Workers J. Timothy Stocks tatr.docxrafaelaj1
Statistics for Social
Workers
J. Timothy Stocks
tatrstrrsrefers to a branch ot mathematics dealing '"'th the direct de<erip-
tion of sample or population characteristics and the an.ll)'5i• of popula·
lion characteri>tics b)' inference from samples. It co•·ers J wide range of
content, including th~ collection, organization, and interpretJtion of
data. It is divided into two broad categoric>: de;cnptive >lathrics and
inferential >lJt ost ics.
Descriptive statistics involves the CQnlputation of statistics or pnr.1meters to describe a
sample' or a popu lation _~ All t he data arc available and used in <.omputntlon o f t hese
aggregate characteristics. T his may involve reports of central tendency or v.~r i al>il i ty of
single variables (univariate statistics). ll also may involve enumeration of the I'Ciation-
sh ips between or among two or moo·e variables' (bivariate or multivariJte stot istics}.
Descriptiw statistics arc used 10 provide information about a large m.b> of data in a form
that ma)' be easily understood. The defining characteristic of descriptive ;tJtistks b that
the product is a report, not .on inference.
Inferential statisti<> imolvc' the construction of a probable description of the charac·
teristics of a population b•sed on s.unple data. We compute statistics from .1 pJrtial;et of
the population data (a samplt) to estimate the population parameters. Thrse t<timates
are not exact, but \\·e can mo~k..: reawnable judgments as w ho\V preruc our c~lim:ues are.
Included within inferential statiwcs i;, hypothesis testing, a procedure for U>ing mathe-
m:uics tO provide evidence for the exi<tence of relationships between o r among variable;.
T bis testing is a form of inferential •"l~umem.
Descriptive Statistics
Measures of Central Tendency
Measures of central tenden')' are individual numbers that typify the tot.tl set of ~cores.
The three most frequently used mca>urcs of centraltendenq are the arithmetic mean, the
mode, and the median.
Arir!Jmeric .\1ea11. The arithmetic mean usually is simply called the mca11. It also is called
the m-erage. It is computed b)' adding up all of a set of scores and dwidmg by the number
of scores in the set. The algebraic representation of this is
75
76 PA11 f I • OuANTifAllVi AffkOAGHU: fouHo~;noM Of Ot.r"' CO ltf(TIO'J
~, =l:: X ,
11
where 11 represents the popu I at ion mean, X represems an individual score, and rr is t he
number of scores being adde(l.
The formula for the sample mean is the same except t hat the mean is represented by
the variable lener with a bar above it:
- l:;X X= --.
II
Following are t he numbers of class periods skipped by 20 seventh-graders d uring
I week: {1, 6,2,6, 15,2(),3,20, 17, 11, 15, 18,8,3, 17, 16, 14, 17,0, 101. Wecomputethe
mean by adding up the class periods missed and dh•iding by 20:
l:;X 219 •
J.l = -- = - = 10.9o.
II 20
Mode. The mode is the most frequently appearing score. It really is not so much a m.
Statistics for Social Workers J. Timothy Stocks tatr.docxsusanschei
Statistics for Social
Workers
J. Timothy Stocks
tatrstrrsrefers to a branch ot mathematics dealing '"'th the direct de<erip-
tion of sample or population characteristics and the an.ll)'5i• of popula·
lion characteri>tics b)' inference from samples. It co•·ers J wide range of
content, including th~ collection, organization, and interpretJtion of
data. It is divided into two broad categoric>: de;cnptive >lathrics and
inferential >lJt ost ics.
Descriptive statistics involves the CQnlputation of statistics or pnr.1meters to describe a
sample' or a popu lation _~ All t he data arc available and used in <.omputntlon o f t hese
aggregate characteristics. T his may involve reports of central tendency or v.~r i al>il i ty of
single variables (univariate statistics). ll also may involve enumeration of the I'Ciation-
sh ips between or among two or moo·e variables' (bivariate or multivariJte stot istics}.
Descriptiw statistics arc used 10 provide information about a large m.b> of data in a form
that ma)' be easily understood. The defining characteristic of descriptive ;tJtistks b that
the product is a report, not .on inference.
Inferential statisti<> imolvc' the construction of a probable description of the charac·
teristics of a population b•sed on s.unple data. We compute statistics from .1 pJrtial;et of
the population data (a samplt) to estimate the population parameters. Thrse t<timates
are not exact, but \\·e can mo~k..: reawnable judgments as w ho\V preruc our c~lim:ues are.
Included within inferential statiwcs i;, hypothesis testing, a procedure for U>ing mathe-
m:uics tO provide evidence for the exi<tence of relationships between o r among variable;.
T bis testing is a form of inferential •"l~umem.
Descriptive Statistics
Measures of Central Tendency
Measures of central tenden')' are individual numbers that typify the tot.tl set of ~cores.
The three most frequently used mca>urcs of centraltendenq are the arithmetic mean, the
mode, and the median.
Arir!Jmeric .\1ea11. The arithmetic mean usually is simply called the mca11. It also is called
the m-erage. It is computed b)' adding up all of a set of scores and dwidmg by the number
of scores in the set. The algebraic representation of this is
75
76 PA11 f I • OuANTifAllVi AffkOAGHU: fouHo~;noM Of Ot.r"' CO ltf(TIO'J
~, =l:: X ,
11
where 11 represents the popu I at ion mean, X represems an individual score, and rr is t he
number of scores being adde(l.
The formula for the sample mean is the same except t hat the mean is represented by
the variable lener with a bar above it:
- l:;X X= --.
II
Following are t he numbers of class periods skipped by 20 seventh-graders d uring
I week: {1, 6,2,6, 15,2(),3,20, 17, 11, 15, 18,8,3, 17, 16, 14, 17,0, 101. Wecomputethe
mean by adding up the class periods missed and dh•iding by 20:
l:;X 219 •
J.l = -- = - = 10.9o.
II 20
Mode. The mode is the most frequently appearing score. It really is not so much a m.
Chapter 6 simple regression and correlationRione Drevale
There is a significant positive correlation between amount of feed intake and live weight of broilers. The correlation coefficient (r) between feed intake and live weight is 0.726, which is statistically significant with p<0.017. On average, broilers gain approximately 0.5 kg of live weight for every 1 kg of feed consumed.
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Elementary Statistics Practice Test 5
Module 5
Chapter 10: Correlation and Regression
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- Key terms in ANOVA include response variable, factor, treatment, and level. A factor is the independent variable whose levels make up the treatments being compared.
- ANOVA partitions total variation in data into variations due to treatments and random error. If the treatment variation is large compared to error variation, the null hypothesis of equal means is rejected.
1. A small accounting firm pays each of its five clerks $35,000, t.docxSONU61709
1. A small accounting firm pays each of its five clerks $35,000, two junior accountants $80,000 each, and the firm's owner $350,000. What is the mean salary paid at this firm? (Round your answer to the nearest whole number.)
$
How many of the employees earn less than the mean?
employees
What is the median salary?
$
2. A small accounting firm pays each of its five clerks $35000, two junior accountants $90000 each, and the firm's owner $256000.
What is the mean salary paid at this firm?
How many of the employees earn less than the mean?
What is the median salary?
If this firm gives no raises to the clerks and junior accountants, but the owner now has a salary of $435000.
How does this change affect the mean?
The mean increases by $ .
How does it affect the median?
The median increases by $ .
3. A study of diet and weight gain deliberately overfed 16 volunteers for eight weeks. The mean increase in fat was x = 2.63 kilograms and the standard deviation was s = 1.21 kilograms. What are x and s in pounds? (A kilogram is 2.2 pounds.)
x
=
s
=
4.Every few years, the National Assessment of Educational Progress asks a national sample of eighth-graders to perform the same math tasks. The goal is to get an honest picture of progress in math. Suppose these are the last few national mean scores, on a scale of 0 to 500.
Year
1990
1992
1996
2000
2003
2005
2008
Score
265
266
270
271
278
279
281
(a) Make a time plot of the mean scores, by hand. This is just a scatterplot of score against year. There is a slow linear increasing trend. (Do this on your own.)
(b) Find the regression line of mean score on time step-by-step. First calculate the mean and standard deviation of each variable and their correlation (use a calculator with these functions). Then find the equation of the least-squares line from these. (Round your answers to two decimal places.)
= + x
Draw the line on your scatterplot. What percent of the year-to-year variation in scores is explained by the linear trend? (Round your answer to one decimal place.)
%
(c) Now use software or the regression function on your calculator to verify your regression line. (Do this on your own.
5. A student wonders if tall women tend to date taller men than do short women. She measures herself, her dormitory roommate, and the women in the adjoining rooms; then she measures the next man each woman dates. The data (heights in inches) are listed below.
Women (x)
65
63
63
64
69
64
Men (y)
72
67
69
69
69
68
(a) Make a scatterplot of these data. (Do this on paper. Your instructor may ask you to turn this in.) Based on the scatterplot, do you expect the correlation to be positive or negative? Near ± 1 or not?
The correlation should be positive. It should be near 1.The correlation should be negative. It should be near -1. The correlation should be positive. It should not be near 1.The correlation should be negative. It should not be near -1.
(b) Find the correlation r between the heigh ...
Chi square test- a test of association, Pearson's chi square test of independence, Goodness of fit test, chi square test of homogeneity, advantages and disadvantages of chi square test.
This document discusses correlation and regression. Correlation describes the strength and direction of a linear relationship between two variables, while regression allows predicting a dependent variable from an independent variable. It provides examples of calculating the correlation coefficient r to determine the strength and direction of relationships between variables like education and self-esteem or family income and number of children. The regression equation describes the linear regression line and can be used to predict values of the dependent variable from known values of the independent variable.
Elzaki Decomposition Method for Solving Epidemic ModelAI Publications
This study investigate the application of Elzaki Decomposition Method in finding the approximate solution to the problem of the spread of a non-fatal disease in a population which is assumed to have constant size over the period of the epidemic. Epidemic models are nonlinear system of ordinary differential equation that has no analytic solution. The series solutions obtained by Elzaki Decomposition are compared with the existing results in the literatures; likewise, some plots were presented.The obtained results validate the efficiency of the method.
Multiple Imputation of Missing Blood Pressure Covariates in Survival Analysis examines how to handle missing blood pressure (BP) measurements in survival analysis. BP was not measured for about 12.5% of participants. Those with missing BP had higher mortality rates, potentially distorting the influence of BP on survival. The study uses multiple imputation to generate plausible BP values for participants with missing data and pools results from multiple imputed datasets to account for uncertainty in imputed values.
This document provides an overview of analysis of variance (ANOVA) including:
- ANOVA was developed by R.A. Fisher in 1920 to analyze differences between multiple sample means.
- It compares variance between groups to variance within groups using an F-statistic ratio.
- ANOVA can be one-way to analyze one variable or two-way to analyze effects of two variables.
- Applications of ANOVA include pharmaceutical research, clinical trials, agriculture, marketing, and more.
This document provides an overview of simple linear regression and correlation analysis. It defines regression as estimating the relationship between two variables and correlation as measuring the strength and direction of that relationship. The key points covered include:
- Regression finds an estimating equation to relate known and unknown variables. Correlation determines how well that equation fits the data.
- Pearson's correlation coefficient r measures the linear relationship between two variables on a scale from -1 to 1.
- The coefficient of determination r2 indicates what percentage of variation in the dependent variable is explained by the independent variable.
- Statistical tests can evaluate whether a correlation is statistically significant or could be due to chance.
This document provides information on various descriptive statistical methods for presenting continuous data, including tabular methods like frequency distributions and graphical methods like histograms, frequency polygons, stem-and-leaf plots, and cumulative frequency plots. It discusses how these different methods organize and display data in a way that helps readers understand the distribution at a glance. Frequency distributions involve grouping data into intervals and showing the number or frequency of observations within each interval. Histograms and frequency polygons are useful ways to display frequency distributions graphically.
Populations LabLAB #3, PART I ESTIMATING POPULATION SIZEO.docxharrisonhoward80223
Populations Lab
LAB #3, PART I: ESTIMATING POPULATION SIZE
OBJECTIVE: To estimate population sizes and dynamics, you will be able to:
1. Compare and contrast methods of estimating population size (CLO #1)
2. Explain and use simple mathematical models of population dynamics (CLO #2)
3. Synthesize your research with the primary literature in ecology (CLO #3)
BACKGROUND INFORMATION:
Estimating the size of populations of organisms is a central problem in field ecology. It is one of the most basic pieces of information we can collect and is an important start for other ecological studies and conservation and management efforts. There are several ways to evaluate organism count (pop. size) or density (count/area), which are two means of characterizing populations
Sometimes, it is sufficient to evaluate organism relative abundance (relative representation of a species in a particular location). In that case, an ecologist can use indices. Indices are anything that can be correlated to the number of organisms in a given habitat (e. g., feces pellets, browsed branches, tracks, plant cover, etc.).
When population size is necessary, population estimates can be developed with a number of sampling and mathematical methods. Since it is rarely feasible to count an entire population, ecologists count a portion of the population and then estimate the total population size using mathematical functions. This can be done a number of ways, but in this exercise we will use two of the most common: density methods and mark-recapture methods.
Density method: In this method, ecologists will count the number of individuals in a prescribed area and then scale this measurement up to estimate the whole population size. Transect methods, in which an ecologist traverses a transect and counts individuals at specific locations along the line, are commonly used for plants and occasionally for animals.
Density methods require a few key assumptions:
1. The population is confined to a specific area
2. Individuals are readily detectable
3. Count areas are extensive relative to area occupied by population
Using these assumptions, ecologists use various models to calculate population size. In this lab, you will use a simple Seber (1973) model:
where N = the population estimate, N0 = the average number of organisms found in a plot. And p = the ratio of the individual plot area to total area (e.g. 25 cm2/820 cm2). Once you have calculated No, use the equation above to calculate N.
Confidence intervals provide a measure of the precision of our estimate (population size, N, in this case). A 95% confidence interval is a range of values that is thought to contain the true population size 95% of the time…that is, if you repeat your sampling and confidence interval calculation 100 times, the confidence intervals will capture the true value 95 of those times. To calculate the 95% confidence interval we can simply calculate the upper and lower confidence limits for N0 and then .
Similar to Top of Form1. Stream quality is based on the levels of many .docx (20)
Deadline 6 PM Friday September 27, 201310 Project Management Que.docxedwardmarivel
Deadline 6 PM Friday September 27, 2013
10 Project Management Questions with sub-questions under each question. A word document is provided with all questions and directions.
Problem 1
The following data were obtained from a project to create a new portable electronic.
Activity
Duration
Predecessors
A
5 Days
---
B
6 Days
---
C
8 Days
---
D
4 Days
A, B
E
3 Days
C
F
5 Days
D
G
5 Days
E, F
H
9 Days
D
I
12 Days
G
Step 1: Construct a network diagram for the project.
Step 2: Answer the following questions:
a)
What is the Scheduled Completion of the Project?
b)
What is the Critical Path of the Project?
c)
What is the ES for Activity D?
d)
What is the LS for Activity G?
e)
What is the EF for Activity B?
f)
What is the LF for Activity H?
g)
What is the float for Activity I?
Problem 2
The following data were obtained from a project to build a pressure vessel:
Activity
Duration
Predecessors
A
6 weeks
---
B
6 weeks
---
C
5 weeks
B
D
4 weeks
A, C
E
5 weeks
B
F
7 weeks
D, E, G
G
4 weeks
B
H
8 weeks
F
I
5 weeks
G
J
3 week
I
Step 1: Construct a network diagram for the project.
Step 2: Answer the following questions:
a)
Calculate the scheduled completion time.
b)
Identify the critical path
c)
What is the slack time (float) for activity A?
d)
What is the slack time (float) for activity D?
e) What is the slack time (float) for activity E?
f) What is the slack time (float) for activity G?
Problem 3
The following data were obtained from a project to design a new software package:
Activity
Duration
Predecessors
A
5 Days
---
B
8 Days
---
C
6 Days
A
D
4 Days
C, B
E
5 Days
A
F
4 Days
D, E, G
G
4 Days
B, C
H
3 Day
G
Step 1: Construct a network diagram for the project.
Step 2: Answer the following questions:
a)
Calculate the scheduled completion time.
b)
Identify the critical path(s)
c)
What is the slack time (float) for activity B?
d)
What is the slack time (float) for activity D?
e) What is the slack time (float) for activity E?
f) What is the slack time (float) for activity G?
Problem 4
The following data were obtained from an in-house MIS project:
Activity
Duration
Predecessors
A
5 Days
---
B
8 Days
---
C
5 Days
A
D
4 Days
B
E
5 Days
B
F
3 Day
C, D
G
7 Days
C, D
H
6 Days
E, F, G
I
9 Days
E, F
Step 1: Construct a network diagram for the project.
Step 2: Answer the following questions:
a)
Calculate the scheduled completion time.
b)
Identify the critical path
c)
What is the slack time (float) for activity A?
d)
What is the slack time (float) for activity D?
e)
What is the slack time (float) for activity E?
f)
What is the slack time (float) for activity F?
PROBLEM 5
Use the network diagram below and the additional information provided to answer the corresponding questions.
a) Give the crash cost per day per activity.
b) Which activities should be crash.
DEADLINE 15 HOURS
6 PAGES
UNDERGRADUATE
COURSEWORK
HARVARD FORMATING
DOUBLE SPACING
INSTRUCTIONS
This assignment seeks to assess your ability to:
• Critically evaluate and discuss the major developments during 2017 in corporate taxation from the perspective of multinational companies and their auditors, governments and other stakeholders.
• Apply appropriate knowledge, analytical techniques and concepts to problems and issues arising from both familiar and unfamiliar situations;
• Think critically, examine problems and issues from a number of perspectives, challenge viewpoints, ideas and concepts and make well-reasoned judgements;
• Present, discuss and defend ideas, concepts and views effectively through formal language.
Background:
In the final weeks of 2017 a leading tax expert suggested that “a whirlwind of international tax changes has swept the globe”. He also went on to say that for companies operating in Europe there is no end in sight to the pace of change. The final recommendations on base erosion and profit shifting (BEPS) from the OECD have been endorsed by the EU. In fact a number of European governments have already implemented large parts of these proposals ahead of schedule.
The third quarter of the year saw the European Commission in the spotlight with its landmark decision that the technology giant Apple must repay no less than €13 billion of taxes to the Irish government. This ruling was based on the view that the favourable tax treatment was effectively state aid and hence the Irish government had broken EU law. At the same time countries across the world continue to compete by reducing the rate of corporate taxes. Many commentators suggest that the UK government will cut the corporate tax rate to 10% if the country fails to negotiate a trade deal with the European Union as part of the Brexit process. In a separate development earlier in the year the government of Hungary announced it would become the tax haven of Central Europe with a plan to reduce corporation tax to a mere 9%.
Required:
You are to write a report for the Board of Directors of a listed global company that has manufacturing and R&D activities across Europe, Asia, Australasia and America. The report should assume that the directors have detailed knowledge of the group activities but are not taxation specialists. However they would be aware of issues relating to corporate governance, transparency and reputational risks.
The report should cover the following aspects:
Evaluate the major developments that occurred in corporate taxation in 2017 and the issues that may arise in the current year.
Discuss the implications for the group in regard to the relationship with its auditors.
Consider how other stakeholders and non-governmental organisations (NGOs) may be affected by changes in the level of corporate taxes and their possible reaction.
The resources below are on Blackboard and provide an introduction to the topic.
“Corpor.
De nada.El gusto es mío.Encantada.Me llamo Pepe.Muy bien, grac.docxedwardmarivel
Este documento presenta varios diálogos y conversaciones cortas que incluyen saludos comunes, preguntas sobre el origen y el nombre de las personas, y despedidas. Los diálogos practican vocabulario y estructuras básicas de conversación en español.
DDL 24 hours reading the article and writing a 1-page doubl.docxedwardmarivel
DDL:
24 hours
reading the article and writing a
1-page double space
annotated bibliography
including:
1.reference
2.specify the concept you will use
3.explain its significance to the course
4.specify how you'll use it in your project
see the article and project inf below
.
*
DCF valuation methodSuper-normal growth modelApplications: single CF, annuity, perpetuity, uneven CFs, bond, stock, etc.
LECTURE 2 Valuation Basics
(Chapters 4, 6, 7)
*
Amount of cash flows expectedRisk of the cash flows Timing of the cash flow stream
Factors that Determine Value
*
DCF Method: General Formula
Finding PVs is discounting. The discount factor i is determined by the cost of capital invested.
*
10%
Single Cash Flow
100
0
1
2
3
PV = ?
What’s the PV of $100 due in 3 years if i = 10%?
*
Financial Calculator Setup
BGN END
P/Y 1
FORMAT: DEC 4 or larger
*
Financial Calculator
Solution
s
N I/YR PV PMTFV
?
N = 3, I/YR = 10, PMT = 0, FV = 100
CPT, PV
-75.13
/
INPUTS
OUTPUT
*
Spreadsheet
.
DDBA 8307 Week 2 Assignment Exemplar
John Doe[footnoteRef:1] [1: Type your name here]
DDBA 8307-6[footnoteRef:2] [2: Type in DDBA section number (e.g. DDBA 8307 – 6) ]
Dr. Jane Doe[footnoteRef:3] [3: Enter faculty name here.]
1
Scales of Measurement
Type text here. Discuss the implications of “scales of measurement” in quantitative research. Be sure to use a minimum of two citations to support your position(s). Be sure to review the “Scales of Measurement” media from Week 1. This section should be no more than two paragraphs.
Research Question
What are the means, standard deviations, frequencies, and percentages of the Lesson 21 Exercise File variables?
Presentation of Findings
I analyzed data from Lesson 21 Exercise File [footnoteRef:4]. In this section, I present descriptive statistics for the study quantitative and qualitative variables. Appropriate APA tables and figures accompany the analysis[footnoteRef:5]. [4: Insert the appropriate file name. ] [5: The tables and figures from your SPSS output will need to be copied and pasted in the appropriate location.]
Descriptive Statistics[footnoteRef:6] [6: Detailed information can be found in Lesson 20, “Univariate Descriptive Statistics for Qualitative Variables,” and Lesson 21, “Univariate Descriptive Statistics for Quantitative Variables,” in the Green and Salkind text.
]
Descriptive statistics were run for the quantitative and qualitative variables in the Week 1 Assignment data set. Table 1 depicts the means and standard deviations for the quantitative data. Figure 1 depicts a histogram for the GPA variable. Table 2 depicts the frequencies and percentages for the qualitative (categorical) data. Figure 2 depicts a pie chart for the ethnic variable. Appendix 1 depicts the SPSS output.
Table 1[footnoteRef:7] [7: This is an example of an APA-formatted descriptive statistics table. Refer to Sections 5.01-5.19, in the APA Manual for detailed information on APA tables. The descriptive statistics table here includes the appropriate information derived from the SPSS output that is to be pasted as an appendix. Do not split tables across pages. Note: The numbers in the SPSS output presented here are fictitious numbers and do not represent correct numbers in the data set you will use for this application.
]
Means (M) and Standard Deviations (SD) for Study
Quantitative Variables (N = 105)
Variable[footnoteRef:8] [8: You would simply add rows to the table to accommodate the variables you have used in the analysis (i.e., variable 3, variable 4, etc.). Hint: Use the Microsoft Word Table feature.
]
M
SD
GPA
2.78
.76
Final
61.48
7.94
Percent
80.34
12.12
Figure 1. Histogram of GPA distribution.
Table 2[footnoteRef:9] [9: Recall from Lesson 20, “Univariate Descriptive Statistics for Qualitative Variables” (Green & Salkind, 2017), frequencies and percentages are reported for qualitative (nominal) variables. Note: Frequency and percentages are the only c.
DBM380 v14Create a DatabaseDBM380 v14Page 2 of 2Create a D.docxedwardmarivel
DBM/380 v14
Create a Database
DBM/380 v14
Page 2 of 2Create a Database
The following assignment is based on the business scenario for which you created both an entity-relationship diagram and a normalized database design in Week 2.
For this assignment, you will create multiple related tables that match your normalized database design. In other words, you will implement a physical design (an actual, usable database) based on a logical design.
Refer to the linked W3Schools.com articles “SQL CREATE TABLE Statement,” “SQL PRIMARY KEY Constraint,” “SQL FOREIGN KEY Constraint,” and “SQL INSERT INTO Statement” for help in completing this assignment.
Note: In the industry, even the most carefully thought out database designs can contain mistakes. Feel free to correct in your tables any mistakes you notice in your normalized database design. Also, note that in Microsoft® Access®, you follow the steps below to launch the SQL editor:
Figure 1. To create a SQL query in Microsoft® Access®, begin by clicking the CREATE tab.
To Complete This Assignment:
1. Use the CREATE TABLE statement to create each table in your design. Note that a table in a RDMS corresponds to an entity in an entity-relationship diagram. Recommended tables for this assignment are CUSTOMER, ORDER, ORDER_DETAIL, PRODUCT, EMPLOYEE, and STORE.
2. As part of each CREATE TABLE statement, define all of the columns, or fields, that you want each particular table to contain. Give them short, meaningful names and include constraints; that is, describe what type of data each column (field) is allowed to hold and any other constraints, such as size, range, or uniqueness.
3. Note that any field you marked as a unique identifier in your normalized database design is a key field. Key fields must be described as both UNIQUE and NOT NULL, which means a value must exist for each record and that value must be unique across all records.
4. After you have created all six tables, including relationships between the tables as appropriate (matching the primary key in one table to a foreign key in another table), use the INSERT INTO statement to insert 10 records into each of your tables. You will need to make up the data you insert into your tables. For example, to insert one record into the CUSTOMER table, you will need to invent a customer number, a customer name, and so on—one value for each of the fields you defined for the CUSTOMER table—to insert into the table.
5. To ensure that your INSERT INTO statements succeeded in populating your tables, use the SELECT statement described in Ch. 7, “Introduction to Structured Query Language,” in Database Systems: Design, Implementation, and Management.to retrieve the records you inserted. For example, to see all 10 records you inserted into the CUSTOMER table, you might apply the following SQL statement: SELECT * FROM CUSTOMER;
After you have created all six tables and populated ten records in each table, submit to the Assignment Files tab the database containin.
DB3.1 Mexico corruptionDiscuss the connection between pol.docxedwardmarivel
DB3.1: Mexico corruption
Discuss the connection between politics, corruption, and criminal organizations in Mexico. How would you go about separating these? Give examples and be specific. Support your ideas on why you would do these specific measures.
DB3.2: Collapse of Soviet Union
How has the collapse of the Soviet Union fostered pirate capitalism and organized crime? Be specific with your answer and support your answer. Do you think that if the Soviet Union did not collapse pirate capitalism and organized crime would still flourish? Support your opinion.
300 words per post
.
DB2Pepsi Co and Coke American beverage giants, must adhere to th.docxedwardmarivel
DB2
Pepsi Co and Coke American beverage giants, must adhere to the U.S Foreign Corruption Act wherever their businesses may take them. Both companies expanded their U.S businesses to India with differing initial results. Coke came home (initially) and Pepsi Co prospered.
Do your research and explain the socio-cultural barriers faced by these two companies? What in your view were the reasons which negatively impacted Coke and positively touched Pepsi Co?
WEEK 3:
Interactive
: Select one company other than the 2 mentioned above, and share this company’s experience in the United Arab Emirates. Comment on another learner’s company experience in a different location of the world.
WEEK 4:
Interactive
: Comment on a different learner’s company experience in a totally different location from those completed earlier. Do you feel that cultural training is an essential pre-requisite for expatriates in any host country? Why/Why not?
Remember to use APA referencing in the body of your posting.
.
DB1 What Ive observedHave you ever experienced a self-managed .docxedwardmarivel
DB1: What I've observed
Have you ever experienced a self-managed team? If so, describe it. If not, why do you think your organization has not embraced self managed teams?
DB2: Case Analysis
Review the case study at the end of Chapter 8, Frederick W. Smith - FedEx. Answer the five questions below:
1. How do the standards set by Fred Smith for FedEx teams improve organizational performance?
2. What motivates the members of FedEx to remain highly engaged in their teams?
3. Describe the role FedEx managers play in facilitating team effectiveness.
4. What types of teams does FedEx use? Provide evidence from the case to support your answer.
5. Leaders play a critical role in building effective teams. Cite evidence from the case that FedEx managers performed some of these roles in developing effective teams.
Image Source Team:
http://www.freedigitalphotos.net/images/gallery-thumbnails.php?id=50143103253525199427035558
.
DB Response 1I agree with the decision to search the house. Ther.docxedwardmarivel
DB Response 1
I agree with the decision to search the house. There was reasonable suspicion to believe the fugitive could have been in the home. The homeowner not only consented to the search of the house but requested it for her safety. Complacency kills. In this situation, the officer is very regretful in his decision to conduct a complacent search of the home, and luckily nobody was killed.
My department does not have body cameras, but I still conduct business as if somebody is recording me. We live in a generation of surveillance. You never know when there are hidden cameras, a camera on a business you did not notice, or a cell phone recording from the top floor of a building. We hire police officers with high amounts of integrity because the definition of integrity is doing the right thing even when nobody is looking. I would be lying if I said my grandmother would approve of everything I do on the job. I am most guilty of foul language and it is something that I am working on not doing that. However, I can emphatically say I work with integrity and honesty without a doubt.
I think setting limits on tolerable behavior in regards to sexual and general harassment is appropriate; however, there are too many situations to make a policy for every behavior one could find inappropriate. When it comes to using force again every situation is different but there should be a pretty well laid out policy at departments for when and how an officer should use a certain amount of force. Officers should be trained on de-escalation tactics and alternatives to using force. Tactical training should include strategies to create time, space, and distance, to reduce the likelihood that force will be necessary and should occur in realistic conditions appropriate to the department’s location (U.S. Commission On Civil Rights, 2018).
Philippians 2 verses 3 – 8 is a pretty straightforward verse with great leadership lessons. Be humble, put others before yourself, and be a servant leader.
From the very beginning of any interrogation, the accused has constitutional rights not to speak to police and also to have an attorney present. The Eighth Amendment to the Constitution prohibits cruel and unusual punishments placed upon any persons in the U.S. With these rights in mind I will only go as far as the Constitution allows when interrogating this suspect even if the suspect admits where the child is if the admission was coerced that admission could get thrown out of court. I would never compromise the investigation. There are other ways to find the abducted girl through detective work than just interrogating the suspect. The cost of illegal interrogations is documented in the number of lost prosecutions. Literally, thousands of cases across the country have had to be dismissed because prosecutors could not trust that the evidence provided by police officers was legitimate or the officer had lost credibility as a witness in all cases because of his or her wrongdoing (P.
DB Response prompt ZAKChapter 7, Q1.Customers are expecting.docxedwardmarivel
DB Response prompt ZAK
Chapter 7, Q1.
Customers are expecting more from their service providers. Rather than traditionally accepting boilerplate offerings from service providers, customers desire that service providers cater to their requests. Organizations providing services must keep up with the customer’s demand or risk losing business to others who will. Many service providers have been adopting lean principles to accommodate the needs of their customers in successful attempts to decrease waste, increase efficiency, improve customer service and satisfaction (Daft, 2016, p. 275). From online music providers, customers expect music tracks personalized for their tastes. From airlines, customers can expect preflight seat and meal selections. Amazon.com provides custom personalization to a customers’ home pages by placing personally directed advertisements and products which the customer is more likely to order from the company. Amazon book recommendations are personalized to the specific customer and are provided based upon previous books read. With customers expecting customized and catered experiences, companies need to keep up with this demand and embrace mass customization in order to obtain and retain customers.
Chapter 7, Q2.
While many facets of businesses may involve craft technology, it is still important for business schools to teach management. Some businesses which only expect their leaders to gain knowledge and expertise from experience, may be creating a bureaucratic and restricted model for their business. Companies which rely only on internal training for their leaders can miss opportunities from potential leaders coming in from the outside. Business schools which teach management can provide potential leaders with a foundation to draw from. Teaching management can expose students to issues and opportunities experienced by others, not just ones restricted to one specific company. Teaching management from a textbook is just one method of conveying information. Just as one would not necessarily be proficient in piloting a boat from reading a book, a textbook about doing so would provide the student with underlying concepts which could dramatically increase the success of the student when they move to an actual boat. This textbook based training would be further enhanced with some practical experience.
Chapter 8, Q1.
Technology has progressed allowing real time instant messaging and virtual meetings. High level managers can indeed expect technology to allow them to do their jobs with little face-to-face communication, but they should question if that is something they really want to do. There are currently methods available which could be used effectively to communicate with subordinates, employees and stockholders, such as recorded feeds which would be able to reach every associated individual. These however may not provide a sense of personalization from the managers. Leaders in an organization may resort to using tec.
DB Topic of Discussion Information-related CapabilitiesAnalyze .docxedwardmarivel
DB Topic of Discussion: Information-related Capabilities
Analyze 2 of the 14 information-related capabilities and explain how the joint force can use these capabilities to affect the three dimensions of the information environment. Give examples of real-world or life events for the capabilities and how can you use these concepts as a CSM/SGM.
Consumer Brand Metrics Q3 2015
Eater Archetypes:
Brand usage and preferences by consumer segment
The restaurant industry has long relied on demographic factors to
identify and prioritize consumer groups. For example, many
brands currently obsess over attracting Millennials—some
without pausing to consider the variations among consumers
within this demographic cohort. In addition to life stages,
consumer attitudes about health, value, convenience and the
overall role of foodservice in their lives drive significant
differences in preferences and behavior.
With these distinctions in mind, we have updated the Consumer
Brand Metrics (CBM) survey with questions that allow us to
segment consumers into one of seven Eater Archetypes. Each
segment has a distinct psychographic profile, which is outlined in
our recent Consumer Foodservice Landscape. Accordingly, their
patronage of the segments and brands tracked in CBM varies.
This paper explores some differences we can discern after the
initial quarterly results, including the archetypes’ segment usage,
brand patronage and occasion dynamics. Examining CBM data by
Eater Archetype reveals nuances that complement a demographic
profile of a chain’s guests.
By Colleen Rothman, Manager, Consumer Insights
To learn more about the Consumer Brand Metrics program or to sign up for future
Spotlight by Consumer Brand Metrics white papers, please contact Bart Henyan,
Senior Marketing Manager, at [email protected]
Consumer Brand Metrics Q3 2015
Segmenting consumers by psychographic factors, rather than
just demographic characteristics, can lead to a better
understanding of the consumers that matter to your brand and
how to appeal to them.
Key Takeaways
Busy Balancers and Functional Eaters drive usage across
restaurants and convenience stores. Full-service restaurant
(FSR) operators may also consider targeting Foodservice
Hobbyists and Affluent Socializers, as these archetypes
comprise more than a quarter of FSR patrons, on average.
How does foodservice segment usage vary by archetype?
Driven by unique needs and motivations, Eater Archetypes
gravitate to a wide variety of brands. For example,
McDonald’s, Burger King and Whataburger each
disproportionately attract unique archetypes (Habitual
Matures, Bargain Hunters and Functional Eaters,
respectively).
Which chains do each archetype visit most frequently?
Archetypes that patronize the same restaurant may not use
the brand the same way. For example, usage varies by
daypart, with afternoon snacks skewing to Busy Balancers
and late-night meals d.
DB Instructions Each reply must be 250–300 words with a minim.docxedwardmarivel
DB Instructions:
Each reply must be 250–300 words with a minimum of 1 scholarly source. The scholarly source used for your thread and response should be in addition to the class textbooks.
Reference Book: Young, M. (2017). Learning the Art of Helping. Boston, MA: Pearson. ISBN: 9780134165783.
.
DB Defining White Collar CrimeHow would you define white co.docxedwardmarivel
DB: Defining White Collar Crime
How would you define white collar crime? What are the advantages and disadvantages of the various terms, such as “white collar crime,” “crimes of the powerful,” “elite deviance,” etc., used to describe the type of crimes.
300 Word Minimum
.
This presentation was provided by Steph Pollock of The American Psychological Association’s Journals Program, and Damita Snow, of The American Society of Civil Engineers (ASCE), for the initial session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session One: 'Setting Expectations: a DEIA Primer,' was held June 6, 2024.
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
আমাদের সবার জন্য খুব খুব গুরুত্বপূর্ণ একটি বই ..বিসিএস, ব্যাংক, ইউনিভার্সিটি ভর্তি ও যে কোন প্রতিযোগিতা মূলক পরীক্ষার জন্য এর খুব ইম্পরট্যান্ট একটি বিষয় ...তাছাড়া বাংলাদেশের সাম্প্রতিক যে কোন ডাটা বা তথ্য এই বইতে পাবেন ...
তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
বিসিএস ও ব্যাংক এর লিখিত পরীক্ষা ...+এছাড়া মাধ্যমিক ও উচ্চমাধ্যমিকের স্টুডেন্টদের জন্য অনেক কাজে আসবে ...
How to Build a Module in Odoo 17 Using the Scaffold MethodCeline George
Odoo provides an option for creating a module by using a single line command. By using this command the user can make a whole structure of a module. It is very easy for a beginner to make a module. There is no need to make each file manually. This slide will show how to create a module using the scaffold method.
How to Fix the Import Error in the Odoo 17Celine George
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
Assessment and Planning in Educational technology.pptxKavitha Krishnan
In an education system, it is understood that assessment is only for the students, but on the other hand, the Assessment of teachers is also an important aspect of the education system that ensures teachers are providing high-quality instruction to students. The assessment process can be used to provide feedback and support for professional development, to inform decisions about teacher retention or promotion, or to evaluate teacher effectiveness for accountability purposes.
The simplified electron and muon model, Oscillating Spacetime: The Foundation...RitikBhardwaj56
Discover the Simplified Electron and Muon Model: A New Wave-Based Approach to Understanding Particles delves into a groundbreaking theory that presents electrons and muons as rotating soliton waves within oscillating spacetime. Geared towards students, researchers, and science buffs, this book breaks down complex ideas into simple explanations. It covers topics such as electron waves, temporal dynamics, and the implications of this model on particle physics. With clear illustrations and easy-to-follow explanations, readers will gain a new outlook on the universe's fundamental nature.
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
Thinking of getting a dog? Be aware that breeds like Pit Bulls, Rottweilers, and German Shepherds can be loyal and dangerous. Proper training and socialization are crucial to preventing aggressive behaviors. Ensure safety by understanding their needs and always supervising interactions. Stay safe, and enjoy your furry friends!
Top of Form1. Stream quality is based on the levels of many .docx
1. Top of Form
1.
Stream quality is based on the levels of many variables,
including the following. Which of these variables is
quantitative?
The amount of dissolved oxygen
The number of distinct species present
The amount of phosphorus
All of the above
2.
Which of the following is a discrete variable?
Weight of a fish
Length of a fish
None of the above
Number of toxins present in a fish
3.
During winter, red foxes hunt small rodents by jumping into
thick snow cover. Researchers report that a hunting trip lasts on
average 19 minutes and involves on average 7 jumps. They also
2. report that, surprisingly, 79% of all successful jumps are made
in the northeast direction. Three variables are mentioned in this
report. The first variable mentioned is
ordinal.
quantitative and discrete.
quantitative and continuous.
categorical.
4.
A sample of 55 streams in severe distress was obtained during
2007. The following is a bar graph of the number of streams
that are from the Northeast, Northwest, Southeast, or
Southwest. In the bar graph, the bar for the Northeast has been
omitted.
The number of streams from the Northeast is
35.
25.
15.
45.
5.
3. Here is a stemplot (with split stems) of body temperatures (in
degrees Fahrenheit) for 65 healthy adult women.
The first quartile for this data set is
97.6.
97.5.
98.0.
97.9.
6.
Researchers measured the length of the central retrix (R1), a
flight-involved tail feather, in 21 female long-tailed finches.
Here is a boxplot of the length, in millimeters (mm).
Based on this boxplot, which of the following statements is
TRUE?
The distribution of R1 lengths is bimodal.
The distribution of R1 lengths is mildly right-skewed with a
high outlier.
75% of the birds in this study had an R1 length above 70 mm.
All of the above
4. 7.
Geckos are lizards with specialized toe pads that enable them to
easily climb all sorts of surfaces. A research team examined the
adhesive properties of 7 Tokay geckos. Below are their toe-pad
areas (in square centimeters, cm2).
5.6
4.9
6.0
5.1
5.5
5.1
7.5
To be an outlier, an observation must fall outside the range
4.9 to 7.5.
4.2 to 6.9.
3.75 to 7.35.
5.1 to 6.0.
8.
The median age of five people on a committee is 30 years. One
of the members, whose age is 50 years, resigns. The median age
of the remaining four people in the committee is
not able to be determined from the information given.
25 years.
30 years.
5. 40 years.
9.
By inspection, determine which of the following sets of
numbers has the smallest standard deviation.
7, 8, 9, 10
0, 0, 10, 10
0, 1, 2, 3
5, 5, 5, 5
10.
The volume of oxygen consumed (in liters per minute) while a
person is at rest and while he or she is exercising (running on a
treadmill) was measured for each of 50 subjects. The goal is to
determine if the volume of oxygen consumed during aerobic
exercise can be estimated from the amount consumed at rest.
The results are plotted below.
The scatterplot suggests that
there is a positive association between the volume of oxygen
consumed at rest and while running.
there is an outlier in the plot.
both 1 and 2 are true.
6. neither 1 nor 2 is true.
11.
Bird species from temperate regions must cope with relatively
short breeding seasons. A study examined the relationship
between blood testosterone level (ng/ml) and the duration of the
egg-laying period (months) in temperate bird species. The
scatterplot below displays this relationship, after taking the
logarithm of each variable.
A plausible value for the correlation between the logarithm of
egg-laying duration and the logarithm of testosterone level is
–0.9.
–0.4.
+0.2.
+0.8.
12.
When water flows across farm land, some of the soil is washed
away, resulting in erosion. An experiment was conducted to
investigate the effect of the rate of water flow (in liters per
second) on the amount of soil washed away (in kilograms). The
data are given in the following table.
Flow rate
0.31
0.85
1.26
2.47
7. 3.75
Eroded soil
0.82
1.95
2.18
3.01
6.07
The association between flow rate and amount of eroded soil is
neither positive nor negative.
positive.
impossible to determine since both variables are categorical.
negative.
13.
Which of the following is TRUE of the correlation coefficient
r?
If r is the correlation between X and Y, then –r is the
correlation between Y and X.
All of the above
–1 r 1.
It is a resistant measure of association.
14.
8. Researchers want to know if reading skills can explain IQ test
scores in children with dyslexia. The following scatterplot
examines the relationship between reading skill score and IQ
test score for 22 dyslexic children. The least-squares regression
line is displayed on the plot, along with the value of r2.
The intercept of the least-squares regression line
cannot be determined from the graph, even approximately.
is greater than 120.
is less than 50.
is about 80, approximately.
15.
Researchers want to know if reading skills can explain IQ test
scores in children with dyslexia. The following scatterplot
examines the relationship between reading skill score and IQ
test score for 22 dyslexic children. The least-squares regression
line is displayed on the plot, along with the value of r2.
What percent of the variation in IQ test scores is explained by
this regression model?
5%
48%
23%
9. 52%
16.
Before surgical removal of a diseased parathyroid gland, two
tests are often performed: the standard intact test and the turbo
test. Both tests measure parathyroid hormone (PTH, in ng/l), but
the turbo test is very expensive. Researchers obtained data from
both tests in a sample of 48 patients to predict turbo test results
(y) from standard intact test results (x). The data ranged from
roughly 0 to 500 ng/l, and a scatterplot showed a clear linear
relationship. The published findings are summarized exactly as
follows:
y = 1.08x – 4.36 (r = 0.97; n = 48)
For a PTH level of x = 1000 ng/l with the standard intact test,
the predicted PTH level with the turbo test
is 1075.64 ng/l.
is 1036.4 ng/l.
cannot be predicted accurately because it would be
extrapolating.
is 970 ng/l.
17.
Babies typically learn to crawl approximately six months after
birth. However, it may take longer for babies to learn to crawl
in the winter, when they are often bundled in clothes that
restrict their movement. Thus, there may be an association
between a baby's crawling age and the average temperature
during the month they first try to crawl. Below are the average
10. ages (in weeks) at which babies began to crawl for a sample of
babies born in each of the 12 months of the year. In addition,
the average temperature (in °F) for the month that is six months
after the birth month is also listed.
Birth month
Average crawling age
Average temperature
January
29.84
66
February
30.52
73
March
29.70
72
April
31.84
63
May
28.58
52
June
31.44
39
July
33.64
33
August
32.82
30
September
33.83
33
October
33.35
11. 37
November
33.38
48
December
32.32
57
We want to investigate if the average age at which infants begin
to crawl (y) can be predicted from the average outdoor
temperature (x) six months after birth, when they are likely to
begin crawling. We decide to fit a least-squares regression line
to the data with x as the explanatory variable and y as the
response variable. We compute the following quantities.
r = correlation between x and y = –0.7
= mean of the values of x = 50.25
= mean of the values of y = 31.77
sx = standard deviation of the values of x = 15.85
sy = standard deviation of the values of y = 1.76
Which of the following is closest to the slope of the least-
squares line?
0.08
–0.08
6.30
–6.30
18.
Babies typically learn to crawl approximately six months after
12. birth. However, it may take longer for babies to learn to crawl
in the winter, when they are often bundled in clothes that
restrict their movement. Thus, there may be an association
between a baby's crawling age and the average temperature
during the month they first try to crawl. Below are the average
ages (in weeks) at which babies began to crawl for a sample of
babies born in each of the 12 months of the year. In addition,
the average temperature (in °F) for the month that is six months
after the birth month is also listed.
Birth month
Average crawling age
Average temperature
January
29.84
66
February
30.52
73
March
29.70
72
April
31.84
63
May
28.58
52
June
31.44
39
July
33.64
33
August
32.82
30
13. September
33.83
33
October
33.35
37
November
33.38
48
December
32.32
57
We want to investigate if the average age at which infants begin
to crawl (y) can be predicted from the average outdoor
temperature (x) six months after birth, when they are likely to
begin crawling. We decide to fit a least-squares regression line
to the data with x as the explanatory variable and y as the
response variable. We compute the following quantities.
r = correlation between x and y = –0.7
= mean of the values of x = 50.25
= mean of the values of y = 31.77
sx = standard deviation of the values of x = 15.85
sy = standard deviation of the values of y = 1.76
The fraction of the variation in the values of a response y that is
explained by the least-squares regression of y on x is the
intercept of the least-squares regression line.
correlation coefficient.
square of the correlation coefficient.
14. slope of the least-squares regression line.
19.
The city council in a suburb of Raleigh is interested in the level
of public support for a tax increase to support restoration of
nearby parks and waterways. A marketing research firm is
selected that then selects a simple random sample of 50 adult
residents and contacts each to determine whether the resident
would be opposed to the tax increase. Of these, 15 indicated
that they would be opposed.
The population of interest is
all adult residents in the suburb.
the residents in the suburb that are opposed to the tax increase.
the 50 residents contacted.
all households in the suburb.
20.
The National Health and Nutrition Examination Survey
(NHANES) assesses the health and nutritional status of
Americans. A recent NHANES asked a random sample of
17,567 American adults to fill a detailed questionnaire about
what they ate the previous day and give their body mass index
(BMI). The researchers then compared individuals who ate
avocado with those who didn't, and found that BMI was lower,
on average, among those who ate avocado. This is an example
of
15. a survey using a probability sample.
a retrospective case-control study.
just anecdotal evidence.
a prospective cohort.
21.
You need to select three subjects from a list of nine subjects.
The subjects' names are provided below.
1. Berliner
4. Wolfe
7. Verducci
2. Blumenthal
5. Stasny
8. Lin
3. MacEachern
6. Santner
9. Critchlow
Use the numerical labels attached to the names and the
following list of random digits to select three individuals. Read
the list of random digits from left to right, starting at the
beginning of the list.
44982 20751 27498 12009 45287 71753 98236 66419 84533
11793 20495 05907 11384
Which of the following statements is TRUE?
If we used another list of random digits to select the sample, the
result obtained with the list actually used would be just as
likely to be selected as any other set of three names.
16. If we used another list of random digits to select the sample, we
would get a completely different sample than that obtained with
the list actually used.
If we used another list of random digits to select the sample, we
would get at most one name in common with a name obtained
with the list actually used.
If we used another list of random digits to select the sample, we
would get the same result as obtained with the list actually
used.
22.
Sixty-four pregnant women ranked the severity of their
heartburn during pregnancy. Researchers rated newborn hair
volume using photographs of the newborn's head. They found an
association between heartburn severity during pregnancy and
the amount of hair on newborns. What can we reasonably
conclude from this study?
Pregnancy is confounded with heartburns in deciding the cause
of newborn hair amount.
Newborn hair causes heartburns in pregnant women.
Eating food causing heartburns during pregnancy leads to
newborns that are hairier.
A lurking variable likely influences both the severity of
heartburns in pregnant women and the amount of hair on
newborns.
23.
17. A March 2010 SurveyUSA telephone poll asked about issues
facing central Ohio to a random sample of 500 households in
the Columbus, Ohio, area. One question was: “Where 10 means
most important, and 1 means least important, how important is
protecting the environment?” The average response was 6.0.
What population is the poll targeting?
The poll targets the 500 households in the Columbus area who
responded.
The poll targets all households with a strong opinion on the
environment in the Columbus area.
The poll targets registered voters in the Columbus area.
The poll targets all households in the Columbus area.
24.
A researcher is interested in investigating the relationship
between sugar consumption and weight gain for high school
students. Fifteen volunteers were randomly assigned to one of
two groups. The first group contained six volunteers who were
put on a low-sugar diet. The second group consisting of the
remaining nine volunteers was put on a diet with sugar
constituting approximately 15% of their diet. After eight weeks,
the change in weight was recorded for each of the volunteers.
The response is the
eight-week time period.
assignment to groups.
18. percent of sugar in the diet.
change in weight.
25.
A researcher was studying how the weights of horseshoe crabs
along the east coast varied between northern and southern
habitats. In spring 2006, during breeding season, the researcher
randomly selected 50 horseshoe crabs in southern habitats. In
fall 2006, before breeding season begins, the researcher
randomly selected 50 horseshoe crabs from northern habitats. It
was found that crabs in southern habitats weighed more and so
the researcher claimed that location had an effect on weight of
horseshoe crabs. The results cannot be trusted because the
investigator should have used more than two locations.
investigator was biased. She knew beforehand what the study
would show.
time of year during which the samples were taken is a
confounding variable.
study was not double-blind.
26.
Researchers wish to determine if a new experimental medication
will reduce the symptoms of allergy sufferers without the side
effect of drowsiness. To investigate this question, the
researchers give the new medication to 50 adult volunteers who
suffer from allergies. Forty-four of these volunteers report a
significant reduction in their allergy symptoms without any
19. drowsiness.
This study could be improved by
including people who do not suffer from allergies in the study
in order to represent a more diverse population.
repeating the study using only the volunteers who reported a
significant reduction in their allergy symptoms without any
drowsiness and giving them a higher dosage this time.
using a control group.
All of the above
27.
Will a fluoride mouthwash used after brushing reduce cavities?
Twenty sets of twins were used to investigate this question. One
member of each set of twins used the mouthwash after each
brushing, the other did not. After six months, the difference in
the number of cavities of those using the mouthwash was
compared with the number of those who did not use the
mouthwash. This experiment uses
double replication.
a matched pairs design.
double-blinding.
random placeboes.
20. 28.
A study examined the effect of garlic on blood cholesterol
levels. A total of 192 subjects with starting LDL (“bad
cholesterol”) levels between 130 and 190 mg/dl were randomly
assigned to one of four treatments for six months: raw garlic
eaten daily, a powdered garlic supplement taken daily (Garlicin
brand), an aged-garlic extract taken daily (Kyolic brand), or a
placebo pill taken daily. The study found no significant or
clinical differences in blood cholesterol levels between the four
groups at the end of the study.
This study uses the principles of
randomization.
blinding.
blocking.
All of the above
29.
A population has an equal proportion of males and females.
That is, when randomly selecting one individual, the probability
that the individual is male (M) is 1/2 and the probability that
the individual is female (F) is 1/2.
In the first 50 randomly selected individuals, 20 were male. In
the next 50 randomly selected individuals, which of the
following must happen?
More than half of the individuals will be males to balance out
the low number of males in the first 50 individuals. However,
21. the order in which these males will be selected is unpredictable.
More than 20 of the individuals will be males because the
proportion of males after 100 individuals must be closer to 1/2
than the proportion after 50 individuals.
The number of males will be very close to 30 in the next 50
individuals because the proportion must be close to 1/2 after
100 individuals.
None of the above
30.
The Centers for Disease Control and Prevention receives
information about the causes for HIV/AIDS infection in the
United States. Here are the causes of infection and their
respective probability among American women ages 20 to 24
years old.
Cause
Probability
Injection drug use
?
Heterosexual sex
0.664
Perinatal infection
0.125
Other causes
0.095
The probability that an American woman age 20 to 24
contracted HIV/AIDS either via heterosexual sex or via
perinatal infection is
0.789.
22. 0.211.
0.500.
0.083.
31.
Based on a recent Gallup survey, we define the following
probability model for the number X of daily cups of coffee
consumed by Americans.
X
0
1
2
3
4 or more
Probability
0.36
0.26
0.19
0.09
?
The probability that an American does not consume 2 cups of
coffee daily is _______ .
32.
A variable whose value is a numerical outcome of a random
phenomenon is called
23. a random variable.
biased.
a random sample.
a parameter.
33.
The frequency of color blindness (dyschromatopsia) in the
Caucasian American male population is estimated to be about
8%. Let's call X the number of color-blind individuals in a
random sample of 8 Caucasian American males. The table below
gives the probability distribution for X.
X
0
1
2
3
4
5
6
7
8
P(X)
0.513
0.357
0.109
0.019
0.002
0.000
0.000
0.000
0.000
24. What is the probability of getting 1 or 2 color-blind individuals
in the sample?
0.248
0.870
0.466
0.039
34.
Using the standard Normal distribution tables, the area under
the standard Normal curve corresponding to Z > –2.62 is
0.0047.
0.9956.
0.0044.
0.9953.
35.
The pH measurements of water specimens from various
locations along a given river basin are Normally distributed
with mean 8 and standard deviation 0.3.
What is, approximately, the probability that the pH
measurement of a randomly selected water specimen is greater
than 8.2?
25. 0.2525
0.7475
0.7525
0.2475
36.
A researcher is interested in the lengths of Salvelinus fontinalis
(brook trout), which are known to be approximately Normally
distributed with mean 80 centimeters and standard deviation 5
centimeters. To help preserve brook trout populations, some
regulatory standards need to be set limiting the size of fish that
can be caught. The probability of catching a brook trout less
than 72 centimeters in length is
0.3745.
0.9452
0.0548.
0.6255.
37.
A researcher is interested in the lengths of Salvelinus fontinalis
(brook trout), which are known to be approximately Normally
distributed with mean 80 centimeters and standard deviation 5
centimeters. To help preserve brook trout populations, some
regulatory standards need to be set limiting the size of fish that
can be caught. To ensure that the shortest 8% of the brook trout
26. get thrown back, the lower cut-off should be set at
75.00 centimeters.
87.03 centimeters.
72.95 centimeters.
80.00 centimeters.
38.
The distribution of total body protein in adult men with liver
cirrhosis is approximately Normal with mean 9.8 kg and
standard deviation 0.1 kg.
Twenty-five percent of adult men with cirrhosis have a total
body protein of at least
9.87 kg.
9.73 kg.
9.70 kg.
9.60 kg.
39.
The amount of cholesterol in a person's body produced by their
liver and other cells is proposed to be Normally distributed with
mean 75% and standard deviation 0.5%.
The probability that a person produces more than 76.7% of the
27. cholesterol in their body is
0.9997.
1.
0.0006.
0.0003.
40.
A national survey by Gallup interviewed 1014 adults and found
that they had consumed on average 4.2 alcoholic beverages in
the past seven days.
Considering a sample of 1014 adults a large sample, which of
the following is TRUE?
By the central limit theorem, the 1014 weekly number of drinks
obtained in the sample are approximately Normally distributed.
By the law of large numbers, the results of this study are 1014
times less variable than if only one American adult had been
asked.
By the law of large numbers, the average weekly number of
drinks from repeated samples of size 1014 is approximately
Normally distributed.
By the central limit theorem, the average weekly number of
drinks from repeated samples of size 1014 is approximately
Normally distributed.
28. 41.
The fact that the sample mean doesn't tend to over- or under-
estimate the population mean makes the sample mean
consistent.
a statistic.
unbiased.
efficient.
42.
You plan to randomly select 10 students from your campus and
ask them how many minutes they exercised in the past seven
days.
The distribution of values taken by the average exercising time
in all possible samples of size 10 is the
variance of the exercising time values.
probability distribution of exercising times.
population parameter.
sampling distribution of average exercising times.
43.
The variability of a statistic is described by the
29. spread of its sampling distribution.
vagueness in the wording of the question used to collect the
sample data.
amount of bias present.
stability of the population it describes.
44.
The pH measurements of water specimens from various
locations along a given river basin are Normally distributed
with mean 8 and standard deviation 0.3. You take water
specimens from 4 randomly selected locations on this river
basin.
Use the 68–95–99.7 rule to answer this question. What is the
range of average pH measurements that make up roughly the
middle 95% of the sampling distribution for random samples of
4 specimens?
7.7 to 8.3
7.4 to 8.6
7.85 to 8.15
7.925 to 8.075
45.
The distribution of total body protein in adult men with liver
cirrhosis is approximately Normal with mean 9.8 kg and
30. standard deviation 0.1 kg.
If you take a random sample of 25 adult men with liver
cirrhosis, what is the probability that their average total body
protein is between 9.75 and 9.85 kg?
0.3829
0.0796
0.0062
0.9876
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EN251 -3428/2013; WABURI FRANCIS GATUBU
TRAFFIC ENGENEERING PROJECT
JOMO KENYATTA UNIVERSITY OF AGRICULTURE AND
TECHNOLOGY
NAME: WABURI FRANCIS GATUBU
REG NO: EN251-3428/2013
COURSE: BSc CIVIL ENGINEERING
UNIT: TRAFFIC ENGINEERING 1
UNIT CODE: ECE 2404
LECTURER: PROF GARIY
SUBMITED ON: DEC 2015
Traffic Management during Construction Work of Ngong
RoadIntroduction
Managing traffic is essential to providing a safe construction
workplace. Traffic can include cars, utilities, delivery trucks,
forklifts, excavators and pedestrians such as workers and
visitors.
32. Vehicles including powered mobile plant moving in and around
workplaces, reversing, loading and unloading are activities
frequently linked with workplace injuries and fatalities.
The safest way to protect pedestrians is to eliminate the hazard,
which means removing the use of all vehicles including
powered mobile plant or removing all pedestrians from traffic
areas. This could be achieved by designing the layout of the
workplace to eliminate the interaction of pedestrians and
vehicles.
Where this is not reasonably practicable, the risks must be
minimised so far as is reasonably practicable. This can be
achieved by careful planning and by controlling vehicle
operations and pedestrian movements at the workplace. This
includes loading/unloading activities.
The key issues to consider for managing traffic at a construction
workplace include:
· keeping pedestrians and vehicles apart, including on site and
when vehicles enter and exit the workplace
· minimising vehicle movements
· the risks of vehicles reversing
· visibility of vehicles and pedestrians
· traffic signs
· Developing a traffic management plan.
Information, instruction and training
All workers need to know and understand the traffic rules, site
safety policies and procedures for the workplace. Instructions
should be provided to visitors before their visit, if possible.
Other persons at the workplace, so far as they’re able, must
comply with any reasonable instruction that is given by the
KENHA. They must also take reasonable care for their own
health and safety and that they do not adversely affect the
health and safety of others.Keeping pedestrians and vehicles
apart
The following actions will help keep pedestrians and vehicles
33. apart both on site and when vehicles enter or exit the
workplace:
· provide separate traffic routes for pedestrians and vehicles
· secure the areas where vehicles and powered mobile plant are
being used, for example pedestrian barriers or traffic control
barricades
· provide separate clearly marked pedestrian walkways that take
a direct route where possible
· where walkways cross roadways, provide a clearly signed and
lit crossing point where drivers and pedestrians can see each
other clearlyMinimising vehicle movements
Good planning can help to minimise vehicle movement around a
workplace.
To limit the number of vehicles at a workplace:
· provide vehicle parking for workers and visitors away from
the work area
· control entry to the work area
· plan storage areas so that delivery vehicles do not have to
cross the site.
Where multiple items of powered mobile plant are being
operated around the workplace, a person with the necessary
training or qualifications should direct the plant:
· ensure workers and other people are familiar with reversing
areas and reversing areas are clearly marked
· Ensure operational plant movements are alerted to workers
including swing radius, articulation points and overhead load
movement.Visibility of vehicles and pedestrians
The WHS laws require that if there is a possibility of powered
mobile plant colliding with pedestrians or other powered mobile
plant, with management or control of the plant must ensure that
it has a warning device that will warn persons who may be at
risk from the movement of the plant.
The following measures should be considered:
. Signs
Prominently display clear warning signs in relevant, well lit
areas to remind persons of the traffic management hazards and
34. requirements. Excavations should be clearly signed.Traffic
routes should be clearly sign posted to indicate restricted
parking, visitor parking, Diversion, headroom, speed limits,
vehicle movement, key site areas and other route hazards.
Standard road signs should be used where possible and speed
limits should be implemented and enforced. Traffic management
plans
A traffic management plan can help manage risks and
communicate information regarding control measures. It may
include details of:
· the designated travel paths for vehicles including entry and
exit points, haul routes for debris or plant/materials, or traffic
crossing another stream of traffic
· pedestrian and traffic routing
· traffic controls for each expected interaction, including
illustrations of the layout of barriers, walkways, signs and
general arrangements to warn and guide traffic around, past, or
through the workplace or temporary hazard
· requirements for special vehicles (e.g. over-dimensional)
· requirements for loading from side of road onto the site
· travel paths on routes remote from the workplace such as
places to turn around, dump material, access ramps and side
roads
· designated delivery and loading/unloading areas
· the expected frequency of interaction of vehicles and
pedestrians
· roles and responsibilities of persons in the workplace for
traffic management
· Instructions or procedures associated with the control of
traffic, including in an emergency.
The traffic management plan should be regularly monitored and
reviewed to ensure it is effective and to take into account any
changes at the workplace.
All workers should be familiar with the traffic management plan
and receive sufficient information, instruction, training, and
supervision.
35. CONSTRUCTION TRAFFIC MANAGEMENT PLAN
The Traffic Management Plan for the reconstruction phases of
the approved Ngong road development is set down through the
following sections:
1. site location and road network;
2. approved development;
3. overall principles for traffic management;
4. hours of work;
5. truck routes;
6. traffic and parking effects;
7. pedestrians;
8. consultation;
9. pedestrian and traffic management plan;
Site Location and Road Network
Ngong road is located between Kenyatta hospital and Adams
arcade. It provides a four lane carriageway with two traffic
lanes in each direction. Major intersections are signalized with
additional lanes for turning traffic. Clearways operate in peak
periods. Bus stops are
Provided on both sides of the road. There is a short term
parking area on Ngong road
For set down and pick up adjacent to the site.
The table below describes various routes that are commonly
used to Ngong through Ngong need
Bus Routes
Route
Destination
Route Description
4W
Riruta Satellite
Kenyatta Ave, Community, Kenyatta Hospital, Ngong Rd,
Adams Arcade, Woodley, Jamhuri, Dagoretti Corner, Riruta
Satellite
36. 5
Jamhuri Estate
Kenyatta Ave, Serena, Community, Kenyatta Hospital, Ngong
Rd, Adams Arcade, Woodley, Jamhuri Estate
7C
Kenyatta National Hospital
Kenyatta Ave, Serena, Community, Upper Hill, Kenyatta
National Hospital
8
Kibera (via Ngong Rd)
Kenyatta Avenue, Serena, Community, Kenyatta Hospital,
Ngong Rd, Mugo Kibiru Rd, Kibera Drive, Kibera Ayany Estate
24
Karen
Haile Selassie Avenue, Ngong Rd, Adams Arcade, Woodley,
Jamhuri, Dagoretti Corner, Karen, Hardy
32
Kibera (via Argwings Kodhek Rd)
Kenyatta Avenue, Serena, Panafric, Valley Road, Argwings
Kodhek Road, Hurligham, Kilimani, Yaya Centre, Ring Road
Kilimani, Adams Arcade, Kibera Drive, Kibera Ayany Estate
40
Ngumo Estate
Kenyatta Avenue, Serena, Community, Ngong Road, Kenyatta
Hospital, Mbagathi Road, Kenyatta Market, Ngummo Estate
46
Kawangware
Kenyatta Avenue, Serena, Panafric, Valley Road, Argwings
Kodhek Road, Hurlingham, Kilimani, Yaya Centre, Korosho
Road, Gitanga Road, Kawangware
Overall Principles for Traffic Management
The beneficiary of this Construction Traffic Management Plan
will comply with
Any other conditions imposed by the City’s Construction
37. Regulations Unit.
The overall principles for traffic management during
demolition, excavation and
Construction phases of the development are:
1. provide a convenient and appropriate environment for
pedestrians;
2. minimise effects on pedestrian movements and amenity;
3. manage and control vehicular movements to and from the
site;
4. maintain traffic capacity at intersections and mid-block in
the vicinity of the site;
5. maintain existing on-street parking in the vicinity of the site
where practical;
6. maintain access to other properties adjacent to the site;
7. restrict vehicle activity to designated truck routes through
the area;
8. maintain safety for workers;
9. provide appropriate access to the site for demolition,
excavation and
10. construction traffic;
11. Manage and control vehicle activity in the vicinity of the
site.
Hours of Work
In accordance with the set traffic management rules, work
associated with demolition, excavation and construction for the
development will be carried out between the following
Hours:
1. Monday to Friday: 7:30 am to 5:30 pm;
2. Saturday: 7:30 am to 3:30 pm; and
3. Sunday/Public Holidays: no work.
Any works outside these times would be subject to a separate
application to the
City of Nairobi. The control of hours of operation avoids truck
movements during
The early hours of the morning, before 7:30 am and in the
evening, after 5:30 pm.
38. Truck Routes and Access
It is proposed that trucks travel to and from the site along the
following designated construction routes. This is during the
demolition, excavation and Construction stages:
.Approach Routes
1. Kenyatta hospital
2. Adams arcade
3. Ndagoretti corner
4. Kimbera
During construction of the development, trucks bringing
material to the site will be accommodated on site .The
designated truck routes to and from the site are proposed to
restrict truck traffic, as far as possible to the main road network
through the area. The approach and departure routes of
construction vehicles to and from the site are considered
appropriate. All demolition, excavation and construction phase
traffic will enter and leave the site from and to Ngong Road
except for vehicles required for works along other Street
frontage where access cannot be reasonably obtained from
Ngong Road. In this instance access may be obtained from the
other route past Ngong road.
Ngong Road including piling rigs, excavators and the like. The
beneficiary of the construction traffic management plan will
comply with any other conditions Imposed by the City of
Nairobi Construction Regulation Unit. Excavation or demolition
spoil removal is not an exception.
During demolition and excavation, trucks transporting material
from the site will be accommodated on site. The approach and
departure routes of construction vehicles to and from the site
are considered appropriate.
Traffic and Parking Effects
During the demolition and excavation period, there will be a
total of some 15 to
20 trucks per day taking demolition and excavated material
39. from the site. During construction of the development from
Ngong Road, peak activity would occur during Bitumen
placement/pour. During larger pours, some 15 to 20 tarmac
trucks per day would be required. For smaller pours, some 10-
20 concrete trucks would be required. At other times, deliveries
of construction materials to the site would be lower at some 10
to 20 trucks per day.
Consultation
A construction committee will be established. Meetings of the
committee will be held monthly or at other appropriate intervals
to discuss construction matters. Local residents and other
relevant parties will continue to be informed of these meetings
and other construction issues by email notification and letter
box drops. For matters relating to the construction process,
local residents will be able to contact the appointed contractor
or project manager by telephone or email. A dedicated
telephone number has been established by the project managers
Which will be transferred to the contractor once it has been
appointed.
Pedestrian and Traffic Management
Signage, fencing, overhead protection, safety barriers and line
marking details, as required, will be provided in accordance
with British Standards and the Roads and Traffic Authority's
Manual for Traffic Control at Work Sites. A copy of the
Construction Traffic Management Plan will be kept on-site at
all times. Signage details, the control of pedestrians in the
vicinity of the site, and the control of trucks to and from the site
will be the responsibility of the site Contractor. The pedestrian
and traffic management plan for the demolition and excavation
Includes the following:
1. demolition and excavation activity to be provided for on-
site;
40. 2. demolition and excavation vehicle access to the site will be
provided from
3. the movement of trucks on and off the site to be managed and
controlled by
Appropriately qualified site personnel in accordance with a Safe
Work Method
Statement and Traffic Control Plans; truck movements to and
from the site to be restricted to designated truck routes shown
on the attached.
4. The management of the site works will be the responsibility
of the site i.e. watering to ensure no dust during the
reconstruction.
5. pedestrian arrangements, construction activity and erection
of safety fencing will be provided in accordance with Workover
requirements; and construction signage to be provided in Ngong
Road and other Street in accordance with the Roads and Traffic
Authority's
Manual for Traffic Control at Work Sites.
The pedestrian and traffic management plan for the demolition,
excavation and
Construction phases of the development is considered
appropriate to provide for
Traffic and pedestrian activity. It may be updated when more is
known about the
Construction Phase.
The works zone will be required during the construction
Period, and will extend along the site frontage (approximately
50 meters). Works zone
Time restrictions will be in accordance with the approved hours
of operation. The City of
Nairobi traffic committee has raised no objection to a possible
future works zone directly
In Ngong Road.
41. CONCLUSION
The road shall thus be constructed in sections and the traffic
will be diverted at different sections of the road. The works will
start by first expanding the road way on its shoulders and later
joining the left-hand side and the right hand side after all works
have been completed this is by working on the road reserves so
as to avoid interrupting the existing traffic. Since Ngong road is
a high traffic region thus it will be important during the
reconstruction of the road to work on given sections at night so
as to avoid inconveniencing many road users. This will be
during the reconstruction period after all works on the reserve
and road expansion are done to allow the road users use the new
expanded route as the existing one will be worked on.
References
Flood, K. U. (1975). Traffic management. Dubuque, IA: W.C.
Brown Co.
Olivo, L. M., & Grime, J. (2007). Traffic management. Toronto:
Emond Montgomery Publications.
Phaal, P. (1994). LAN traffic management. New York: Prentice
Hall.
Traffic management. (1991). Newton, MA: Cahners Pub. Co.