QRB 501 FINAL EXAM 36 ANWSERS Essay and Statistics Analysis

QRB 501 FINAL EXAM 36 ANWSERS Essay
1) Write the following as an algebraic expression using x as the variable: Twelve less than six times
a number A. 6x – 12 [(Six times a number means 6x, and twelve less mean –12)] B. –6x C. –12(6x)
D. 12 – 6x 2) Write the following as an algebraic expression using x as the variable: The sum of a
number and –8 A. –8 + x [(let x be the variable number, therefore sum of variable (x) and (–8)
would be x–8 or –8 + x)] B. –8 – x C. x(–8) D. –8x 3) Write the following as an algebraic
expression using x as the variable: Triple a number subtracted from the number A. x – 3x [(let x be
the unknown number, and triple that number would be 3x. Triple a number (3x) has to be subtracted
from the number, which is x, ... Show more content on Helpwriting.net ...
A. On the X–axis B. On the Y–axis C. Time is not plotted D. Either axis 18) Why are unequal class
intervals sometimes used in a frequency distribution? A. To avoid a large number of empty classes
B. To create variety in presenting the data C. To avoid the need for midpoints D. To make the class
frequencies smaller 19) What is the slope of the line: 2y + 8x = 26 A. –4 B. 8 C. 1/4 D. 2 20) What
is the slope of the line: 36x – 9y = 15 A. 4 B. 36 C. 3 D. –5/3 21) What is the slope of the line: 3x –
y = 6 A. 3 B. 2 C. –1 D. ½ 22) Which statement is true of a regression line that is superimposed on
the scatter plot? A. It is computed using the Ordinary Least Squares method. B. It guarantees the
largest possible sample variance. C. It is computed using the maximum and minimum values. D. It
guarantees that the slope and intercept are minimized. 23) Which of the following is observed in a
scatter plot when there is an inverse relationship between x and y? A. Points create a horizontal line.
B. Points are mostly in the lower left and upper right quadrants. C. Points curve up as it moves to
the right. D. Points slope down as it moves to the right. 24) The number of hours spent studying
appears to be highly correlated with the grade students earn in a class. Which variable would be the
dependent
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Stephen Gould
Stephen Gould's article can be interpreted in a variety of different, but mostly positive ways. After
discovering that he had a rare form of un–curable cancer, he set out to discover what exactly his
"median life expectancy" of eight months meant and where he would fall in this disheartening
distribution. After reviewing various medical journals, he found the distribution to look exactly like
he imagined: very rightly skewed. But, being that he was young and the cancer had been found
early, he determined that he would most likely fall into that rightly skewed distribution, meaning
that he would have more than the "average" eight months of life left. While finding this new
information and being subject to it, he learned that his perceiving daunting future wasn't as dreadful
as it appeared. With the help of his previous biological knowledge and positive attitude, he came to
conclude that his life expectancy, his life clock, wasn't what mattered most. Gould determined that
"median isn't the message". Meaning, his life expectancy wasn't what mattered, it wasn't even
accurate. Statistical data can so easily be misinterpreted because of outliers and medical conditions
can vary so radically. So, Gould found that his life clock wasn't what mattered as much as his ...
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In Gould's case, this meant that he had 50% chance of living past eight months. But another concept
prevails in this article regarding median, that being how easily data can be misinterpreted. Gould
makes a point to revel this information in the beginning of his article, quoting Hilaire Belloc
statement "statistics are the triumph of the quantitative method, and the quantitative method is the
victory of sterility and death." This quote implies that statistics, can be quite troubling for those
facing its probable outcomes. But, according to Gould, if correctly understood, they can be
"profoundly nutrient and

Relationship Between Femail Juniors Involved in Sports and...
Statement of Tasks: The plan is to obtain data of female juniors involved in sports and the relevance
to their grade point averages. The data will be collected through a survey. The survey will be
distributed to fifty female juniors that attend Taft High School. The survey will ask the student to
state the curriculum such as IB or other (Regular/Honors). Students will also have to state their
grade point averages. The researcher has to assure that each student is either involved or has
recently been involved in a sport. A statistical analysis will be applied to the data in order to uncover
any relevance of the data. The analysis will require a chi–squared (x2) test.
Detailed Plan: I, the researcher, surveyed fifty female juniors ... Show more content on
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I add up all the GPAs and then divide by the total number of GPAs.
5.1+ 4.6+ 4.7+ 4.7 + 4.7+ 4.8 + 4.3 + 4.2 + 4.6 + 4.3 + 4.3+ 4.6 + 4.8 + 4.5+ 3.8 + 3.6 + 3.8+ 3.5 +
3.3 + 3.3 = 85.5
85.5/20=4.28
= 4.28
This is the mean found for Others GPA.
4.1 + 3.6 + 3.4 + 3.4 + 3.65 + 3.48 + 3.2 + 3.8 + 3.7 + 3.8 + 3.1+ 3.9 + 3.2 + 3.1+ 3.2 + 3.0+ 3.0 +
2.9+ 2.9 + 2.5+ 3.0+ 2.7+ 3.0 + 2.8+ 2.7 + 2.6 + 2.0+ 2.0 + 1.7+ 2.0= 92.43
92.43/30=3.08
= 3.08
In order to find the median for IB and Others GPA, I must put the GPAs in numerical order. Since
both totals are even numerals, I have to take the mean of the two middle numbers of the set of GPA.
IB median: 4.3+4.5= 8.8 8.8/2= 4.4
Others median: 3.0+ 3.1=6.1 6.1/2 = 3.05
There several modes within each data set. I simply look for repeating digits. Since there is a handful,
I will only choose of the many modes to be the main mode for the sets.
IB mode: 4.7 and 4.3
Others mode: 3.0
This is some of the input of GPAs in a graphic display calculator (GDC). I will use the GDC to

show the central tendency. First, I input the GPA. After, the data was in I pressed on STAT.
Then, I went to CALC and pressed ENTER on the first option.
1–Var stats (IB)
1–Var Stats (Others)
x2 test for independence
≤ 5.0 ≤ 4.0 ≤ 3.0 Total
IB 14 6 0 20
Other 1 14 15 30
Total 15 20 15 50
Observed frequency (Fo)
1) First, I must set up

Time to Practice 1
University of Phoenix Material
Time to Practice – Week One
Complete both Part A and Part B below.
Part A
Some questions in Part A require that you access data from Statistics for People Who (Think They)
Hate Statistics. This data is available through the Student Textbook Resources link.
1. By hand (without using SPSS), compute the mean, median, and mode for the following set of 40
reading scores:
SUMMARY
|31 |32 |43 |42 |
|24 |34 |25 |44 |
|23 |43 |24 |36 |
|25 |41 |23 |28 |
|14 |21 |24 |17 |
|25 |23 |44 |21 |
|13 |26 |23 |32 |
|12 |26 |14 |42 |
|14 |31 |52 |12 |
|23 |42 |32 |34 |
MEAN: ... Show more content on Helpwriting.net ...
You are the manager of a fast food store. Part of your job is to report which special is selling best to
the boss at the end of each day. Use your knowledge of descriptive statistics and write one
paragraph to let the boss know what happened today. Use the

The Effect Of Color On Testing Results
The Effect of Color on Testing Results Introduction Our experiment focused on testing scores. We
wanted to see whether the color of ink that was used on a test would affect a student's performance
on that test. We chose to conduct this experiment in the Sterling C. Evans Library to get a wide
variety of students to take the tests since it is the largest and most central library on campus. We felt
that this way the best way to attempt to limit the other variables that could affect our results. Our
hypothesis was that red ink would cause that student to do more poorly on the test than the student
would have done on a test with black ink. Our theory was that red ink would remind students of
wrong answers on previous assignments and create a feeling of stress and anxiety. We attempted to
answer this question by giving students of various genders, majors, and ages a test of medium
difficulty in red and black ink and analyzing the data to find out if their scores correlated with the
ink color. In order to determine whether there was a correlation between ink colors and test scores,
we measured the students' number of wrong answers on the test, time taken on the test, stress level,
age, classification, gender, GPA, and college. We chose these measures because they yielded
numerical values that could be statistically assessed, and they account for any other variables that
might play into the correlation. We measured our results using descriptive statistics, using numbers
to

Application of Number Assignment
Task One: Gather, present and interpret data for a purpose The purpose of my task is to compare
daily website traffic to the daily sales conversion rate over the month of June for a newly established
sales campaign. With this information I can identify whether the projected conversion rate
percentage has been forecast accurately. This information will also be used as the control sample
data to base future sale trends on. w/c |Visitors / Sales |Mon |Tues |Wed |Thurs |Fri |Sat |Sun |Week
Total | |01/06/11 |V |– |– |5 |1 |4 |1 |4 |15 | | |S |– |– |2 |0 |1 |0 |2 |5 | |06/06/11 |V |3 |2 |1 |5 |1 |1 |1 |14 | |
|S |2 |1 |0 |2 |0 |0 |0 |5 | |13/06/11 |V |5 |2 |4 |3 |1 |2 |0 |17 | | |S |2 |0 |2 |1 |0 |1 |0 |6 | |20/06/30 |V |3 |3 |7
|6 |4 |4 ... Show more content on Helpwriting.net ...
To do this, you need to divide the top and the bottom number by the same number to get a smaller
whole number on both parts of the fraction. This fraction can then be simplified as follows: 12/88 ÷
4 = 3/22 This fraction cannot be simplified any further as 3 and 22 cannot both be divided by the
same number. Decimal To express Monday's traffic as a decimal we find the fraction that represents
the proportion we are looking for. Using or previous calculation, this gives us 12/88 or 3/22 To
convert a fraction into a decimal, divide the top number of the fraction by the bottom number ie 3 ÷
22 = 0.13 (or 12 ÷ 88 = 0.13). Percentages To work out percentages, all you need to do is work out
the decimal and move the decimal point two places to the right. This is the same as multiplying it by
100. Using Monday's figures again, this would be applied in the following way: 0.13 1.30 13.0 13%
So, to work out a percentage you need to follow the above steps to express the proportion as a
fraction, convert it to a decimal and then move the decimal point two places to the right. Using
Monday's figures again this can be simplified as: 12 ÷ 88 x 100 = 13% Task two: Scale Drawing
Purpose: We have been given a budget of £500 to

Essay on Week 1 Business Statistics
1.2 – Below we list several variables. Which of these variables are quantitative and which are
qualitative?
Quantitative means that the measurement of the value gives an actual quantity that can mean "how
much", or "how many". Whereas qualitative means we are simply recording into which of the
categories the element falls. (Bowerman, O'Connell, Murphree, Orris, J. B. (2012). Essentials of
Business Statistics 4th ed.). A. The dollar amount on an accounts receivable invoice.
This would be quantitative, because it is showing the actual dollar amount and is not grouping it into
different categories. B. The net profit for a company in 2009.
This would fall under quantitative since seeing an actual number for a company and ... Show more
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C. Television show classification.
Ordinal – Why? Because there is a reasoning behind the classifications. This allows the audience to
see what kind of show they are going to watch. D. Personal computer ownership.
Nominative–Why? There is no real reason or ranking as to who owns a computer and who doesn't'
and to why they do or they don't. E. Restaurant rating.
Ordinal–Why? Because when critics rank restaurants it lets consumers know which ones have been
chosen with the best food and the best service overall. Most people will really want to eat at
restaurants ranked higher. F. Income tax filing status.
Nominal–Why? It is just showing a list of classifications of what people are not ranking them in any
order. 3.3 – Calculate the mean, median, and mode of each of the following population of numbers.
A. 9, 8, 10, 10, 12, 6, 11, 10, 12, 8
Mean = 9+8+10+10+12+6+11+10+12+8 = 96
Mean = 9.6
Median = 6–8–8–9–10–10–10–11–12–12 = 10+10/2
Median = 10
Mode = 10 Because 10 is the number that appears the most in this group.
B. 110, 120, 70, 90, 90, 100, 80, 130, 140.
Mean = 110+120+70+90+90+100+80+130+140 = 930/9= 103.33
Mean = 103.33
Median = 70–80–90–90–100–110–120–130–140 = 100
Median = 100 this is 100 because it is the number that meets in the middle.
Mode = 90 because it shows up twice

Understanding And Exploring Assumptions Of Assumptions
Understanding and Exploring Assumptions Assumptions are important, but not in the way; many
would think. The term assumption sometimes is associated with the word guess, but that's not the
meaning as it concerned statistics' to ensure that your data. In the area of statistics ',' the word
assumption signifies completeness of the data collected (Triola, 2008) . The assumption aids the
researcher in verifying the data because if the data does not meet the requirement, the researcher
must, then treat the data in a different way to ensure the best interpolation of the data. Assumption is
required in completing statically analyses: histograms, levenes test for homogeneity of variance,
normality, normal pp–plots as well in the use of chi–square (Field, 2013; Hayes & Cai, 2007; Triola,
2008)witch use the assumption of random sampling. In the use of ANOVA method, the assumption
of normality is the basis for the technique. Assumptions aid in identifying deviation of data as it
concern normality. Perhaps one–way to identify or investigate deviation is to simply view a
histogram from within a package such as SPSS, Minitab, SAS and Statdisk. Assumptions matter for
a number of reasons, according to (Field, 2013; Hayes & Cai, 2007) there are perhaps three
components of importance when talking about assumptions, e.g., Parameter estates, confidence
intervals, and significance tests. Download Festival Histograms and p–p plots Figure 1 Day one
Curve Figure 2Histogram Day Two

Pros And Cons Of Being A Therapist
As therapist, we do need good communication skills, because we want our client to be involved in
the therapy process. My first negative impact is rejecting help or another point of view. To change it
to something positive I have to learn to accept others people thoughts and ideas even at moments
when I'm feeling stressed. Sometimes people look at situations in a different way and they may be
able to provide recommendations on how to better deal with the stress. Also, we can't allow that a
stressful situation negatively impacts the service provided to our patients. Secondly, I need to
provide everyone the same treat; even when feeling stress due to a timeline. Every person has a
different way of accomplishing goals and just because they are ... Show more content on
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Explain what it means to you to be a therapist and to be a therapeutic tool. Identify 2 examples of
characteristics which are reflective of the therapeutic modes discussed in lecture information, which
you feel you possess. Explain.
For me a therapist should serve as guidance and support for this individual that is going through a
difficult or different situation. As therapist, we get prepared with the required knowledge and may
have more information about their specific condition, we also serve as educators. Being a
therapeutic tool is listening to our patient concerns and having respect for our patients. According to
the therapeutic modes I'm encouraging and advocator. According to the topic presentation an
advocating mode is "understanding that disability is a result of environmental barriers and as
therapist responding to physical, social, and environmental barriers that a client encounters
(Marazita, n.d)". For example, while advocating for a patient we need to be passionate and
persistent. The other mode was encouraging, according to our notes we are "providing the client
with hope, courage, and the will to explore or perform a given activity (Marazita, n.d.)". For
example, while providing encouragement we need positive thinking and

Advantages And Disadvantages Of Printers
Introduction Since the earliest digital electronic computers, instruction sets have tended to grow
larger and more complex. The MARK–1 (in 1948) had seven instruction of trivial complexity, yet a
contemporary machine like the VAX has more than three hundred instructions. In addition, its
instructions can be more complicated. Any high performance implementation of the VAX has to rely
on complex implementation techniques such as pipelining, caches and prefetching. During the late
sixties, there was much experimentation with very complex instructions. It was made possible by
the interpreter. Hardly anyone thought of designing simpler machines. In 1970, a group led by
IBM's John Cocke, worked on a high–performance minicomputer, named the 801. IBM never
marketed this machine but ... Show more content on Helpwriting.net ...
RISC allows freedom of using the space on microprocessors because of its simplicity. Instead of
using Stack, many RISC processors use the registers for passing arguments and holding the local
variables. RISC functions uses only a few parameters, and the RISC processors cannot use the call
instructions, and therefore, use a fixed length instructions which are easy to pipeline. The speed of
the operation can be maximized and the execution time can be minimized. Very less number of
instruction formats (less than four), a few number of instructions (around 150) and a few addressing
modes (less than four) are needed. Disadvantage of RISC With the increase in the length of the
instructions, the complexity increases for the RISC processors to execute due to its character cycle
per instruction. The performance of the RISC processors depends mostly on the compiler or the
programmer as the knowledge of the compiler plays a major role while converting the CISC code to
a RISC code; hence, the quality of the generated code depends on the

––––––––––––––––––––––––––––––––––––––––––––––––– University of Phoenix Material
Complete both Part A and Part B below.
Part A
Some questions in Part A require that you access data from Statistics for People Who (Think They)
Hate Statistics. This data is available through the Student Textbook Resources link.
1. By hand (without using SPSS), compute the mean, median, and mode for the following set of 40
reading scores:
SUMMARY
31 | 32 | 43 | 42 | 24 | 34 | 25 | 44 | 23 | 43 | 24 | 36 | 25 | 41 | 23 | 28 | 14 | 21 | 24 | 17 | 25 | 23 | 44 | 21
| 13 | 26 | 23 | 32 | 12 | 26 | 14 | 42 | 14 | 31 | 52 | 12 | 23 | 42 | 32 | 34 |
MEAN: 28.375
MEDIAN: 25.5
MODE: 23 ... Show more content on Helpwriting.net ...
What measure of central tendency would you use and why?
5. For the following set of scores, compute the range, the unbiased and the biased standard
deviations, and the variance. Do the exercise by hand.
31, 42, 35, 55, 54, 34, 25, 44, 35
Why is the unbiased estimate greater than the biased estimate?
6. Use IBM® SPSS® software to compute all the descriptive statistics for the following set of three
test scores over the course of a semester. Which test had the highest average score? Which test had
the smallest amount of variability?
Test 1 | Test 2 | Test 3 | 50 | 50 | 49 | 48 | 49 | 47 | 51 | 51 | 51 | 46 | 46 | 55 | 49 | 48 | 55 | 48 | 53 | 45 |
49 | 49 | 47 | 49 | 52 | 45 | 50 | 48 | 46 | 50 | 55 | 53 |

7. This practice problem uses the data contained in the file named Ch. 3 Data Set 3. There are two
variables in this data set. The data sets can be found through the Sage Materials in the Student
Textbook Resource Access link, listed under Academic Resources. Using IBM® SPSS® software,
compute all of the measures of variability you can for height and weight. Copy and paste the output
from IBM® SPSS® into this worksheet.
Variable | Definition | Height | Height in inches | Weight | Weight in pounds |
8. Review the following frequency distribution. Create a histogram either by hand or by using some
other

Children With Development Coordination Disorder Will...
School aged children with development coordination disorder will increase their visual motor skills
with the aid of a six week basketball protocol intervention.
The study was conducted with the aid of 30 school aged children, ages ranging from 8 years to
approximately 10 years and 11 months. Several qualitative statically data were collected to show the
results of the study. Included were: descriptive statistics, pivot table and a t test, below I will
specifically present each data to help better interpret data collected during intervention.
Descriptive statistics
Included in this report is an excel file with all the scores used to calculate the following data, it will
help understand the following central tendency better, as far as where these numbers were taken.
Central tendency includes the commonly used mean, mode and median. This helps analyze data
more effectively and for through understanding of research. I will highlight the most significant
ones here.
MEAN: this will be reporting the average values of sex, age (months), primary disability (Prim Dis)
and therapist. The mean for sex is 0.466666667; age had a mean of 112.5666667, primary disability
of 1.666666667 and therapist mean of 2.066666667.
Mode/median: these two data were very similar scores. Sex had a mode and median of 0, age had
median of 112.5 and mode of 113, prim dis mode and median of 1 and lastly, therapist mode and
median of 2.
DISPERSION: this is used to calculate the spread of values in

Questions On Categorical Variables
Task 1 – [10 Marks] The file Task1–Data.xlsx contains the results for the questions in Task 1. a.
Results are as shown in Task1–Data.xlsx workbook (a.). b. Results are as shown in Task1–Data.xlsx
workbook (b.). "Location" and "Ownership" are "Nominal" as they are not numerical and as such
they are given a number in its place. The rest of the categorical variables are "Ordinal" as they can
be ranked from smallest value to largest. c. In Task1–Data.xlsx workbook (c.) contain the
histograms for each of the numerical variables in this data set. An example is shown below. None of
the histograms can be considered completely symmetrical but "Debt" and "Utilities" are close. "First
Income", "Second Income" and "Monthly Payment" are all skewed to the left. There are no
histograms present that are skewed to the right. d. Results are as shown in Task1–Data.xlsx
workbook (d.). e. Results are as shown in Task1–Data.xlsx workbook (e.). f. Results are as shown in
Task1–Data.xlsx workbook (f.). Task 2 – [15 Marks] The file Task2–Catalog Marketing.xlsx
contains the results for Task 2. a. Results are as shown in Task2–Catalog Marketing.xlsx workbook
(a.). b. Results are as shown in Task2–Catalog Marketing.xlsx workbook (b.). The bottom 10% was
found using the Top 10 feature in the table, changing top to bottom and changing item to percentage.
c. Results are as shown in Task2–Catalog Marketing.xlsx workbook (c.). d. Results are as shown in
Task2–Catalog Marketing.xlsx

Statistics Is The Most Popular Score Essay
Introduction
Statistics is not only part of a required to create on coursework in schools. Everywhere person looks,
statistics is around. Too many people think statistics is difficult though, but it is all around them in
real life. Three main descriptive statistics which make data easier to interpret, measure central
tendency. They are the mean, measured, and median. Each of these are averages, which everyone is
exposed to in everyday life (Stapel, n.d.). All three have specific uses in real life.
The Mode
The first measure, the mode, is the most popular score. To find the mode, one tallies the frequency
of each number or value. The mode becomes the group that occurs the most frequently (Averages,
n.d.). A set of numbers may have more than one mode when an equal number of occurrences takes
place at more than one value. Of course, a mode may not occur in a set of numbers if the numbers
appear with equal frequency (Henry, 2011). Next, a few examples of the mode are explained.
First, California Homeschool Network's election occurs annually. An election is a great example
explaining the method. The election consists of trustees that members vote for. When the election
closes, the results displaying the trustee who receives the most votes is the winner. This winner
received the largest number of tallies during the election count.
Another example of the mode is finding the average number of students in various programs at
National University determining which are the most

A Summary Of Data Analysis
There are numerous ways to represent this data visually and numerically, the first graph I did was
the stem and leaf plot where you can see the frequency much clearer since the original data numbers
are shown as in compare like a histogram where the frequency is easy to see, the original data points
have been lost. For an example the grades, there are 13 values that were in the seventies, but is hard
to determine from the histogram what those values might have been. In the stem and leaf plot shows
the original values way easier, which is perfect to show to younger students because the horizontal
leaves in the stem and leaf plot is the same to the vertical bars in the histogram, and the leaves have
the heights that equal the numbers in the ... Show more content on Helpwriting.net ...
In the box and whisker, the median is 78, almost 80, and that fifty percent of the students scored
between 67 and 86 points, and seeing the plot is skewed to the left means that there are more values
in the highs rather the lower numbers. The histogram and stem and leaf plot also shows how
students passed the test by seeing the median and mode on the graph.
The assigning of the scores I decided to have five letter grades which were, A, B, C, D, and F. Letter
grade A is 90–100, B is 80–89, C is 70–79, D is 60–69, and F is 59–0. The reason I chose this grade
assignment is because I wanted to know how many students have "passed" the exam beyond
average or below. The average is a 70–79 and having five categories can show which students
actually know the subject or need to work on it, whether over the average or under the average.
Describing the "middle" of the data is that the central tendency by using the mean, median, or mode.
The mean gives us the average, the median gives us which is the number in the middle of the set,
while mode show us the most frequently occurring value in a data set. The box and whisker and
histogram, it's better to use the median to describe the middle because since the mean is less than the
median, that's why it's skewed because the high scores influence the direction of the graph. In this
case, the median may be a better option to represent the typical grade on the test.
To describe the overall

The First Round Of Data Collection
During the first round of data collection, 48 recording sheets were distributed over four work days,
three shifts per day, and four work areas per shift. There were 109 restocking times reported on the
recording sheets. The mean was 7 minutes and 32 seconds. The median was 7 minutes and 37
seconds.
During the second round of data collection, 48 recording sheets were distributed over four work
days, three shifts per day, and four work areas per shift. There were 110 restocking times reported
on the recording sheets. The mean was 7 minutes and 13 seconds. The median was 7 minutes and 16
seconds.
Employees who restocked the work areas were given questionnaires that asked about the perceived
cleanliness of the stock room and refrigerator and freezer storage areas, the perceived workload, the
perceived ease of finding supplies, and employee's sex, age, and years with the company. There
were 109 responses, but one questionnaire was omitted because it was incomplete. The first three
questions used a Likert–like scale, where 1 is strongly disagree and 5 is strongly agree.
The mean for the first question, which asked if the stock area clean, was 3.22. The median was 3
and the mode was 3. The mean for the second question, which asked if the employee had a lot of
supplies to gather, was 3.57. The median was 3 and the mode was 3. The mean for the third
question, which asked if it was easy to find the necessary supplies, was 1.80. The median was 3 and
the mode was 3.

Personal Reflection : My Personal Experience : Building...
Over the course of the 5 weeks of experience that I have had, I have been able to see many of these
terms come to life in the relationships that I am building with my individual resident, and with the
large group of 20+ residents. I have seen many different interpersonal events and the value of and
the skill that is takes to intentionally and skillfully use my personality and traits and modes with
Residents in difficult situations. One thing I have found true for myself is that it is more difficult
than it sounds to execute pure mode use. All my life I have encountered conflicts and been trained in
how to deal with them, using many of the techniques encompassed in the modes, so it has become
second nature to respond to conflicts the ways in which I have been trained. However, Taylor (2008)
points out the importance of intentionally and skillfully choosing the modes that will best meet the
client where they are and help them to be able to engage in their occupations, instead of responding
using several approaches at once. However, I have found that as I have been met with interpersonal
events, I respond naturally with aspects of both encouragement and instructing, as opposed to
utilizing mode shift to intentionally shift modes when I sense that one is needed to best meet my
client. While I feel that I have been able to accomplish a positive outcome in most of the
interpersonal events that I faced, I was not practicing how to be an intentional and effective clinician
by doing this. One such time, a Resident was feeling very discouraged about a new activity and
reacted with agitation and anger (emotionally charged therapy session event), and I responded by
giving encouragement, reassuring them, and telling them the things I have seen them do correctly,
but at the same time also reminding them that the only way to get better at something is to keep
trying, explaining the benefits of doing it, and demonstrating how to do it again in a different way. I
used both encouraging responses and instructing responses, instead of simply choosing to use
encouraging mode or instructing mode purely. Another time, a power dilemma occurred when my
Resident and I were playing a simplified game of Go Fish and she began to

Types Of Distributions Module 2
03–Types of Distributions Module 2 Slide 1: Welcome back! Congratulations for all the work that
you have done! While I'm sure you are anxious to learn about the technique to answer research
questions and hypotheses, social workers and researchers need to understand the basic. Think of
your first bike ride. Did you need training wheels? Or did you need that gentle push from a parent or
relative? These were the foundations that prepared you for many years of enjoyable bicycling! As
stated in the previous powerpoints, it is important to analyze each variable, especially our
independent and dependent variables to determine the type of statistical techniques to use in answer
our research questions and/or hypotheses. One analysis that we perform on each variable is the
distribution of their scores. As with other powerpoints, this powerpoint supplements your readings
for the purpose of providing a better understanding of the module's concepts. Yet, it does not replace
the need for reading your textbook. Additionally, embedded in the powerpoint are questions to test
your assimilation of these concepts. So, let's begin. Slide 2: As humans, we acquire knowledge with
visual applications or pictures. After looking at picture or graph, we can instantly interpret its
meaning. Frequency polygons convey pictures of different shapes of distributions for interval and
ratio level variables only and enhances our understanding of central tendency and dispersion,
concepts that we discussed

The Association Between Quebeckers And How Much The...
This paper will explore the association between Quebeckers and how much the average Quebecker
really likes Canada on a scale from really dislike (0) to really like (100). This association is relevant
because the history of division between Quebec and the rest of Canada has resulted in many
referendums and resentment that thrives today as much as it did in the past. The results may not be
shocking, but the empirical data analysis shows that the average Quebecker does not really like
Canada when the threshold for 'really like' is set at 80 or more out of 100. The rest of this paper will
thoroughly look at the steps that it took to reach this conclusion including a descriptive summary of
the methodological considerations, a detailed ... Show more content on Helpwriting.net ...
The former variables is ranked from 0–100 where 0 is really dislike and 100 is really like, while the
latter is simply a nominal variable used for filtering cases. This means that the province variable was
used to narrow the data into 'Quebec only' results to allow the comparison between the two. They
were specifically chosen because they best fit the direction of the research where I wanted to
explore the relationship between overall feelings towards Canada in a particular province: Quebec.
Neither variable was recoded because it showed to be unnecessary, in the case of provinces, and
illogical for the PES11_11, a scale variable (highest level of measurement). Since this is a scale
variable, I was able to calculate all the measures of central tendency (measures that tell us the most
typical values) and dispersion (how typical these typical central values are). These statistics are
relevant to calculate because they allow for more meaningful calculations that allow us to draw
more specific and accurate conclusions about claims such as the standard error, confidence intervals,
z–scores and statistical significance.
The bar chart in Figure 1 shows the frequency that each Quebecker chose their feelings about
Canada. It shows that a majority of respondents falls at 50 or above with the most frequent value is
100. Table 1 shows a collection of all statistics calculated to test the

The Scales Of Measurement, Ordinal Scale, Interval And Ratio
In this write up, the different scales of measurement, nominal scale, ordinal scale, interval and ratio
are discussed, including examples of test types that would usually employ them. Also, measures of
central tendency, and measures of variability and their effect on test suitability are addressed in the
second half of this piece. The Four Scales of Measurement Scales of measurement defines a
framework wherein numbers are assigned to objects based on a set of rules (Thorndike &
Thorndike–Christ, 2009). These authors presented four different types of scales of measurement as
ordinal, nominal, ratio and interval. Nominal Scale Thorndike Thorndike–Christ (2009) described a
nominal scale as a measurement type wherein each "number takes on the meaning of a verbal label"
(p. 27). For example, in an assessment of students on a campus, girls could be labeled number 1,
and the girls, number 2. In this case, the values are mutually exclusive, and the labels have no
numerical significance. Assessment that would use a nominal scale could be practically any measure
that affixes labels to constructs for assessments. For example, the Interprofessional Competency
Model for Healthcare Leadership is an assessment model that measures constructs developed into
competency models, such as analytical thinking, community orientation, financial skills, and
initiative (Calhoun, Dollett, Sinioris, Wainio, Butler, Griffith, & Warden, 2008). Ordinal Scale Next,
an ordinal scale describes "the order

Automatic Railway Gate Control
An Industrial training report
On
AUTOMATIC RAILWAY GATE CONTROL
Submitted in partial fulfillment of the requirement of the degree of
BACHELOR OF ENGINEERING
In
ELECTRONICS AND COMMUNICATION ENGINEERING
By
M.SHALINI
ANIL NEERUKONDA INSTITUTE OF TECHNOLOGY AND SCIENCES Sangivalasa –531162,
Bheemunipatnam (mandal)
Visakhapatnam, Andhra Pradesh
2009–2013
ACKNOWLEDGEMENT
Our sincere thanks and gratitude to Roshan sir for all the support and kindness he has bestowed
upon us and without whose help, the project would not have been remarkable at all. The strong
theoretical foundation that he has laid and his innovative ideas and timely help helped us a lot for
completion of the project. Our sincere thanks to all ... Show more content on Helpwriting.net ...
In this project, LCD is used in order to display the status of train arrival or departure. In that way, it
will indicate the motorists that gate is going to be closed.
The program logic is written in embedded c program by using Kiel micro vision environment. The
program written is then converted in the hex code after simulation and burned onto the
microcontroller using FLASH micro vision.
This project can also be developed further to have a buzzer sound in order to alert the public while
the gate is closing. A control room can also be provided at the railway crossings for constant
monitoring of the equipment to reduce the chances of errors and to make this user friendly.
CHAPTER 2
SYSTEM REQUIREMENTS
HARDWARE REQUIREMENTS:
MICROCONTROLLER:

The hardware practical will be carried on the development Board which is having P89V51RD2
Microcontroller from Phillips Semiconductors. It supports ISP programming Mode. The tool used
for this purpose is flash magic for ISP Programming.
LCD:
We are using Hitachi LCD with dot matrix type which supports 16x2= 32 characters. IR SENSORS:
The sensor used is a PIR (Passive Infra–Red) Sensor. It is a pyroelectric device that detects motion
by measuring changes in the infrared levels emitted by surrounding objects. This motion can be
detected by checking for a high signal on a single I/O pin.
STEPPER MOTOR: We are using stepper

The Variable Age Is The Independent Variable And A Ratio...
The variable age is the independent variable and is a ratio level of measurement (Loiselle et al.,
2011). The measure of central tendency to describe age are in table 1.2 are the mean of 57.62 which
is the average age, the median which is the middle score within the distribution when all scores are
organized of 58.5 and the mode of 58 which is the most frequently occurring age (Loiselle et al.,
2011). The measures of variability are the range of 69 with a minimum age of 22 and a maximum
age of 91, standard deviation which is the average deviation from the sample mean which is a value
of 16.26, and the sample variance which is the standard deviation square and the value is 263.46
(Salkind, 2013). The distribution for this sample is described as a negative skew and the value
obtained from table 1.2 is –0.22511(Salkind, 2013). A negative skew occurs when the median and
the mode value are larger than the mean, within this sample the median is 58.5 the mode is 58 which
is greater than the mean of 57.62, the tail would be pointed toward the left (Salkind, 2013). The
kurtosis value is –0.65102 and this describes how peak or flat the curve is from the normal
distribution curve which is described as mesokurtic (Salkind, 2013). The kurtosis has a large
negative value which is representative of a flatter curve also know as playkurtic (Salkind, 2013).
The average deviation of scores from the sample mean is 16.26 in order to calculate if there any
extreme ages, any ages that occur below

How The Profit Can Be Increase By Judged The Average...
Introduction:
The main reason for this survey is to analyse how the profit can be increase by judged the average
number of floor spaces or sales staff employed in a large retail chain. By observing the averages that
have been calculated in the Excel Spread–Sheet for takings, floor spaces and staff number. it can be
possible to deduct which department needs further development and how it can be developed.
Using a simplistic mathematical scheme to serve in making the right decision, it will be explained
how to grow the profit with neither more nor less information than what was provided in the dataset.
Conclusion: An average number typically suggests the 'mean' value in a data–set; however, in this
analyse has been used two different types of averages which are: the mean and median. As the mean
is considered to be the one giving the most accurate information about the average number of
takings – since it's about adding up all the numbers form the data–set and divided them by the total
– while the median represents only the value that stands in the middle of the data–set; in that way
resulting a common mistake such as: leaving one of the averages aside and not analysing the
accurate information from the data–set. However, there are no evidences to prove that both numbers
are correct, as both are considered to be types of averages in statistics. On the column chart
provided below representing the average takings for All Outlets, it can be seen a massive dropdown

The Issue Of Pay Equality
"Lilly Ledbetter wasn 't lazy; she –– and all women –– just want equal pay" Rebuttal
The issue of pay equality between genders has always been an important topic. For some reason
many people believe that women are still unfairly paid less than men. The common statistic, now
popular belief, is that women get paid seventy seven cents for every dollar a man makes. Though
this statistic seems real it was no more than a false statistic used to help politicians get votes. The
truth is, if the math was done the correct way, then this statistic would be significantly smaller than
we originally thought.
When comparing job salaries between workers you would first need to compare the average income
between the two sexes. The statistic used (seventy seven cents) is a median value for women. The
reason why this information would be wrong is because this compares all ranges of salaries; the
amount of people involved, and finds the middle value in the list. This method is incorrect for two
reasons in particular. First of all, the salaries of all workers of that gender would be compared; this
means workers of different work fields would be compared to each other's. Second of all, if there
were numerically more of one gender than the other then the statistics for comparing them would be
off. Basically, because of these seemingly obvious reasons the standard deviations in pay differences
would be a much larger value than it should. This is exactly what happened in the statistic seventy

Questions On Solving The Statistical Problem
The first strategy when solving the statistical problem above is to create a plan to find how many
solutions there are for this problem. When starting this plan, the first step is to glean all the relevant
clues given in the problem. The important clues described in the statistical problem begin with their
only nine people. One person of the nine people has nine pieces of candy. A second person has no
candy. Finally, a third person has four pieces of candy because four is the mean and the media of the
problem. Gathering information from the data is what Art Costa's calls his first level of Questioning,
which is gathering information (Daws & Schiro, 2008). Students must have a good understanding of
mean, median, and mode before solving this type of statistical problem. Median and mode are often
easily found Van De Walle, Karp, and Bay–Williams have defined mean in two different conceptual
understandings.
According to Van De Walle, Karp & Bay–Williams there are two distinct interpretations for the
understanding of mean (2013). The definition of mean is to find the middle number in the set of
data. A real explanation is to spread the data evenly across all the data points where each data point
is the same as the sum, which is thirty–six, refer to illustration 2. Understanding the term mean is
crucial when working with statistical problems. The first explanation of the term mean can be better
understood in the classroom when students are working on an activity

American Beauty
American Beauty A Sociological Movie Review American Beauty, a film that was written by Allan
Ball and directed by Sam Mendes in 1999 is a unique piece that demonstrates many sociological
themes throughout the development of the plot. The characters strive to portray themselves as the
All American Family. They live in a nice house, drive nice cars and seem perfectly normal to the
general public, but the audience is allowed to view the deep set issues that plague the main
characters; Lester Burnham (Kevin Spacey), Carolyn Burnham (Annette Bening), Jane Burnham
(Thora Birch), and Jane's best friend Angela Hayes (Mena Suvari). As the plot develops there are
many obvious parallels relating the lives of the characters to Merton's Strain ... Show more content
on Helpwriting.net ...
During the course of the film, Lester Burnham goes through a large change. When we first meet
Lester he is living his life as a ritualist. He goes to work every day because that is what he is
supposed to do, but he puts in little to no effort and he has little regard for the completion of his
goals. He has no motivation. His marriage is failing and he has an empty relationship with his
daughter. Lester says "both my wife and daughter think I'm this gigantic loser, and they're right, I
have lost something. I'm not exactly sure what it is, but I know I didn't always feel this sedated.
But you know what; it's never too late to get it back" (American Beauty). From this statement we
can see that there is going to be a change in Lester over the course of the movie. When he meets
Jane's friend Angela we can see an immediate change in Lester. He lusts for her constantly and his
life becomes consumed by trying to spend time with her and help her to be attracted to him. He
suddenly becomes more enthusiastic about life. He describes this as feeling that he had been in a
coma for twenty years and he is finally waking up. After this Lester completely alters his lifestyle.
He leaves his job, begins to work out everyday, buys his dream car and starts smoking pot with
Ricky Fitz. Before he met Angela, Carolyn was in charge of everything that happened around the
house and she made all of the

Unit 6
MAP4C
Class #: _____
Date: ______________
Mean, Median, and Mode for Grouped Data
Part A – Frequency Tables
The following table shows the annual salaries earned by employees of a small company: Annual
salary ($)
35 500
42 750
51 000
99 000
150 000
Totals
Frequency
3
5
5
1
1
15
106 500
213 750
255 000
99 000
150 000
824 250
a) What is the mean salary?
To find the mean of data in a frequency table: for each row...
– multiply each value by its frequency

– add up these values
– divide by the frequency total
3(106500) + 5(213750) + 5(255000) +1(99000) +1(150000)
15
824250
=
15
= 54950
b) What is the median salary?
There are 15 employees. ∴ the salary of the 8th employee is the median. The ... Show more content
Page 2 of 4
MAP4C
Class #: _____
Date: ______________
The median will occur in an interval. Find the middle data value, and then find what interval this
value occurs in. The median is the midpoint of that interval.
The mode is the midpoint of the interval that occurs most frequently.
a) mean
∑ fx = 2658 n 500
= 5.316
b) mode
Looking at the frequency column, we can see that the "4–5" interval occurs most often. So, the
mode is the midpoint of that interval, which is 4.5 . We could also say that the modal interval is "4–
5".
c) median
The middle data value is between values 250 and 251. Both these data values occur in the "4–5"
interval (look at the Cumulative Frequency column).
So the median is 4.5, the midpoint of the "4–5" interval.
Part C – The Effect of Outliers
Two classes that wrote the same physics examination had the following results:
Class A: 71, 82, 55, 76, 66, 71, 90, 84, 95, 64, 71, 70, 83, 45, 73, 51, 68
Class B: 54, 80, 12, 61, 73, 69, 92, 81, 80, 61, 75, 74, 15, 44, 91, 63, 50, 84
Class A:
Class B:
Mean:
Median:

Mode:
Mean:
Median:
Mode:
Circle the outliers. What effect do outlier values have on the mean?
What measure of central tendency is a better choice when dealing with small data sets that contain
outliers?
Page 3 of 4
MAP4C
Class #:

How to Lie with Statistics by Darrel Huff
I just finished reading really interesting book, How to lie with Statistics by Darrel Huff. This books
is all about a good cheat sheet to cheat with numbers. The moment someone mentions Statistics, the
most often seen reaction is a big yawn or a sigh of disbelief. This is because people come across all
kinds of statistical interpretations all the time such as in advertisement or marketing journals. This
sense of disbelief is because the reader can not verify the truthfulness behind presented numbers.
The assumption always is that the person talking about the number or statistics knows what he or
she is talking about because it is proven fact by statistical studies. Even if that is not the case, it is
very easy to be lost among the number, when they are represented as an averages, percentages,
year–on–year growth, or percentage points which can make the person talking about these seem
either very good or very bad. And this does not seem to have changed from 1954, when the book
was first published. The book is about helping readers see throughout these marketing tricks. Also,
to be able to ask the right questions and when to dismiss a statistics as faulty. It is a field manual to
beat the cheaters in their worn game. This is a delightful book with just 150 pages and 10 chapters
each with a specific theme. The book starts with the origin of the statistics problems, the sample.
Any statistics based on some samples always going to have some sorts of bias, even if the person

Use of Statistics to Analyze the Motion Picture Industry...
Report on the Motion Picture Industry The motion picture industry is just like any other industry
and to be successful it must turn a profit on the movies it creates and produces. Everyone loves
movies and the motion picture industry does everything in its power to produce movies that will
bring in millions of dollars in profits. The motion picture industry has created high grossing movies
such as Spider–Man 3 with a total gross of $336,530,303 as well as flops such as Sea Monsters: A
Prehistoric Adventure, which only brought in $23,746,066. Diving into descriptive statistics we are
able to compare the 5–number summary, mean, mode, range, and standard deviation for the opening
gross, total gross, theaters, and number of weeks for the ... Show more content on Helpwriting.net ...
It was also determined that the movie Spider–Man 3 brought in the largest total gross with a total
take of $336,530,303. The range of total gross was determined to be $312,784,237 and the mean of
the total gross came out to $85,096,526. The standard deviation of $75,282,256 is about ten million
dollars than the mean value of $85,096,526. The movie Sea Monsters: A Prehistoric Adventure
brought in the least amount of total gross but appeared in the least amount of theaters at 252. The
movies with the highest total gross appeared in more than 4000 theaters. The mean for theaters was
calculated to be 2,856 so this is the average number of theaters the movies appeared in and the mode
came out to 2,529. The range was 4,110 theaters and this is the difference between the smallest
amount of theaters at 252 and the largest amount of theaters at 4,362. The standard deviation was
determined to be 766, which is roughly 25% of the theaters total mean of 2,856. Now turning to the
total number of weeks that the movies appeared in theaters, it was determined that the movie Sea
Monsters: A Prehistoric Adventure was in theaters longer than any other movie at 49 weeks. The
movie, We Own the Night appeared for only 4 weeks and this was the lowest number of weeks that
any movie appeared in theaters. The mean for the total number of weeks that the movies appeared in
theaters was 14 with a mode of

Market Trends And Developments Of Nikee Food Company
Interpret market trends and developments Assessment Task 2: Project – Market analysis The
business that I would like to discuss is Nikee Food Company which specializes in importing
vending machines and commercial food and beverage equipment. This business is situated in 200
Elizabeth Street ,Melbourne, VIC 3000.They have planning to penetrate the vending machines and
plan to participate in the $321 billion food and beverage industry by supplying high quality
innovative equipment. It offers products, Unique Sandwitch Express Machine Fresh Orange juice
machine Multi_Line Dispenser .Executive summary This report intends to discuss the following
topics: . Use statistical analysis of market data to interpret market trends and developments ... Show
more content on Helpwriting.net ...
Perform qualitative analysis of comparative market information as a basis for reviewing business
performance This company perform the best quality of product to customer satisfaction.Therfore the
company has improved their qualitative analysis of comparative. Analyse the market performance of
existing and potential competitors and their products or services, to identify potential opportunities
or threats Company has to spend more expansive for heavy equipment. High capital costs. National
company will be the future potential competition. Analyse performance data from all areas of the
business to determine success of marketing activities The success of the company were introducing
the new high quality product to the customers and focused on the work hard to create brand name. .
The keys to success are: Quality support and service Innovative, and quality products to existing
Always customers make them happy. Identify over–performing and under–performing products and
services to be considered for redevelopment or withdrawal Nikee Food Company is still in the
speculative as a startup organization. The critical issues that they face are: payroll expenses will
never exceed sales revenue monitor customer satisfaction Forecast existing and emerging market
needs based on information available using forecasting techniques Forecasting techniques help to
keep the organization on target

Finance
Data From Water Park | Type of Guest | % of visitors during peak season | Singles under 25 | 25 |
Singles over 25 | 12 | Couples under 25 | 6 | Couples over 25 | 18 | Family groups | 39 |
Statistics Assignment
Part 1
a)
We have obtained the data from both hotel and water park on the basis of number of visitors
categorised according to their age groups during peak season. The data has been graphically
presented below to compare and see if water park is a suitable excursion place for holiday makers to
stay at the hotel.
Data From Hotel | Type of Guest | % of visitors during peak season | Singles under 25 | 17 | Singles
over 25 | 9 | Couples under 25 | 3 | Couples over 25 | 20 | Family groups | 51 | ... Show more content
In every each band of € 10 increase there is significant drop in number of visitors. This pattern of
histogram is positively skewed.
b) Determine by using a spreadsheet model and drawing an ogive, a variety of averages and
measures of dispersion.
The calculations was made as shown below using MS Excel. All the calculations are done using
excel and excel workbook is also attached at end.
Class Interval(Amount Paid) | Frequency(Number of visitors) | Upper boundary | Cumulative
frequency | Cumulative frequency % | MID Point X | X2 | fX | fx2 | 0 | 0 | | 0 | 0 | | | | | 35 – under 45 |
98 | 44.5 | 98 | 33.79310345 | 40 | 1600 | 3920 | 156800 | 45 – under 55 | 74 | 54.5 | 172 |
59.31034483 | 50 | 2500 | 3700 | 185000 | 55 – under 65 | 58 | 64.5 | 230 | 79.31034483 | 60 | 3600 |
3480 | 208800 | 65 – under 75 | 46 | 74.5 | 276 | 95.17241379 | 70 | 4900 | 3220 | 225400 | 75 – under
85 | 14 | 84.5 | 290 | 100 | 80 | 6400 | 1120 | 89600 | Total | 290 | 322.5 | 1066 | | 300 | 19000 | 15440 |
865600 |
List of calculations made, (All the calculations are made in excel and is attached also the value of
Median, Q1 and Q3 from the ogive graph generated from excel.
Mean=∑fx/∑f
=

The Theory Of Knowledge F Social Scientifically Research
SOC 2290: Research Methods
The theoretical orientation of this research will focus on the theory of knowledge f the social
scientifically research. The approach will examine the relationship between the level of exercise and
personal health, which will illustrate whether the individual 's personal health is impacted by his/her
level of exercise or if there are additional variables that might effect this causal relationship.
The significance of the study review the issues and factors, whether increasing an individual`s
overall level of exercise will result in an increase in the individual`s health. The study does focus on
a sample of University of Manitoba Students; the independent variable being the level of exercise
and the dependent ... Show more content on Helpwriting.net ...
Conceptual framework
Independent variable Constant variable Dependent variable
Independent variable: The level of exercise is measured by how much a student's exercise per week
Dependent variable: Is measured by the individual weekly health measurements
Control variable: Is measure by the students degree of food intake, whether healthy food or non–
healthy food. Section 2: Univeriate analysis
Independent variable: level of Exercise
A measure of central tendency was computed to summarize the data for the level of exercise. A
measure of dispersion is computed to understand the variability scores of the independent variable.
The following are the results obtained from the data collection sample size = 1238, Mean = 1.99,
Median = 2.00, Mode = 1.00 and SD = 0.889 variable. When looking at the mean, it appears that
most students responded to the variable in the questionnaires. And it shows that distribution is
symmetric since the mean is close to equal the median, which concludes that this variable has a
close to zero skewness.
Statistics
Q1B recoded
N Valid 1238 Missing 7
Mean 1.9919
Median 2.0000
Mode 1.00
Std. Deviation .88913
Variance .791
Range 2.00
Minimum 1.00

Maximum 3.00
Q1B recoded Frequency Percent Valid Percent Cumulative Percent
Valid Dissatisfied 494 39.7 39.9 39.9 Neither 260 20.9 21.0 60.9 Satisfied 484 38.9 39.1 100.0 Total
1238 99.4

Math Survey Paper In Math
For our Honors Math fall final this year we were assigned a task to collect 100 pieces of data from a
survey question of our choice. With that question we surveyed 100 students from the same
population. After collecting the responses we input the data into a spreadsheet to find the
frequencies for each answer given. With those frequencies we then found the mean, median, mode,
range, quartile 1, quartile 2, quartile 3, the interquartile range, maximum, minimum, outliers,
standard deviation, and a z–score from the data. Further we were to create a hand drawn histogram
and a box and whisker plot. Finding all of these is helping us come to a conclusion as to whether the
responses to the survey question is normally distributed or not and if ... Show more content on
Helpwriting.net ...
The next thing I found was the range. To find the range you take the maximum number in the set
minus the minimum number in the set. In my data the range was 60. Next, I found the quartiles that
would be used for my box and whisker plot. To find Quartile 1 you have to find the median of the
data that falls below the median of the entire data. In my data Quartile 1 was 0. You do almost the
same to find Quartile 3. You find the median of the upper half of the data. You can not use the
median to find Quartile 3 so you have to use everything above it. Quartile 3 in my set of data was
14. Finding Quartile 2 is easy because it is the same as your median. To find any outliers you have
to find the upper limits and the lower limits. To do this you must find the interquartile range first. To
do that, you subtract Quartile 1 from Quartile 3. With the interquartile range, you then can add it to
Quartile 3 and subtract it from Quartile 1. By adding the interquartile range to Quartile 3 you are
creating the upper limit and by subtracting the interquartile range from Quartile 3 you are finding
the lower limits. In this case all four of my outliers fell above the maximum limit of 36 because you
can not fly negative times and 0 falls within the limits. Lastly, I found the standard deviation of my
entire 100 pieces of data. To do this I wrote all the numbers that would be found of the x–axis ( 0 –
60 ). Then I found the average of all of

MATH 533 Course Project Data AJ DAVIS
A. Brief Introduction
There are 50 credit customers who were selected for the data collection on five variables such as
location, income, size, years, and credit balance. In order to understand more about their customer,
AJ DAVIS must use graphical, numerical summary to be able to interpret and better expand their
business in the future.
B. Discuss your 1st individual variable, using graphical, numerical summary and interpretation
A histogram shows the distribution of data within the Income. In this Histogram graph of Income, it
shows that the graph is not symmetrical. This histogram graph has a wider bell shape form. The
graph shows that this graph is more like two graph because there is a clear difference between
income generating ... Show more content on Helpwriting.net ...
With the 95% Confidence Interval for Mean, Median, and St Dev are as described above.
This graph shows that the size of two people per household is much higher than others.
E. Discuss your 1st pairing of variables, using graphical, numerical summary and interpretation
Total
Variable Location Count N N* CumN Percent CumPct Mean SE Mean TrMean
Income ($1,000) Rural 13 13 0 13 26 26 37.54 2.24 37.27 Suburban 15 15 0 28 30 56 47.27 3.91
47.31 Urban 22 22 0 50 44 100 50.18 2.98 50.15
Sum of
Variable Location StDev Variance CoefVar Sum Squares Minimum Q1
Income ($1,000) Rural 8.07 65.10 21.49

Comm215 Essay
A sample case for a statistical analysis with a suggested solution
Case 1: Heavenly Chocolates Website Transactions
Heavenly Chocolates manufactures and sells quality chocolate products at its plant and retail store
located in Saratoga Springs, New York. Two years ago the company developed a website and began
selling its products over the internet. Website sales have exceeded the company's expectations, and
management is now considering strategies to increase sales even further. To learn more about the
website customers, a sample of 50 Heavenly Chocolate transactions was selected from the previous
month's sales. Data showing the day of the week each transaction was made, the type of browser the
customer used, the time spent on the ... Show more content on Helpwriting.net ...
Discuss.
1
Suggested solution
Case 1: Heavenly Chocolates Website Traffic
1. Descriptive statistics for the time spent on the website, number of pages viewed, and amount
spent are shown below. Time (min) 12.8 11.4 6.06 1.45 28.6 4.3 32.9 640.5 Pages Viewed 4.8 4.5
2.04 .65 8 2 10 241 Amount Spent ($) 68.13 62.15 32.34 1.05 140.67 17.84 158.51 3406.41
Mean Median Standard Deviation Skewness Range Minimum Maximum Sum
The mean time a shopper is on the Heavenly Chocolates website is 12.8 minutes, with a minimum
time of 4.3 minutes and a maximum time of 32.9 minutes. The fact that the mean time on the
website (12.8 minutes) is greater than the median time (11.4 minutes) and the value of skewness is
1.45 indicates that the time on the website is skewed to the right. The following histogram provides
further evidence of the skewness in the data.
H is to g ram o f T im e ( m in )
14
12 10
Fre q u e n cy
8

6
4 2
0 5 10 15 20 T im e (m in ) 25 30
The mean number of pages viewed during a visit is 4.8 pages with a minimun of 2 pages and a
maximum of 10 pages. The fact that the mean number of pages viewed (4.8) is greater than the
median (4.5) and the value of skewness is .65 indicates the number of pages viewed is slightly
skewed to the right. A histogram of the number of pages viewed

Descriptive Statistics And Its Impact On The Visualization...
Introduction Statistics, the cornerstone of any empirical study, are the foundation for analyses. In
this instance, descriptive statistics, which are data points that describe the distinct qualities of a
population, will be explored. Descriptive statistics, the first step of analyzing data, allow for the
values to be represented, summarized, and interpreted in a meaningful, but simple, way. Exploring
descriptive statistics may provide for the appearance of a pattern or aid in the visualization of the
collective information; however, researchers are not able to establish conclusions based on these
statistics. Another aspect of statistics is frequency, which is the number of times that each variable
occurs during the study. Descriptive ... Show more content on Helpwriting.net ...
The goal of the experiment conducted was to determine the correlation, if any, between Texas A&M
student alcohol consumption each week and the number of classes missed per week. Given the
abilities and constraints of descriptive statistics, choosing to focus on this type of statistic allowed
for the student to properly view the overall information, since there were many interacting values.
Method
In this study, the participants were randomly selected throughout a two–week period (N = 35). The
people were all Texas A&M students, ranging from freshman to senior classifications (M = 2.71, SD
= 1.07, freshman to senior recorded as 1 to 4). The continuous predictors for this experiment were
the participants' ages and how many alcoholic beverages that they said they consumed per week.
The participants had a mean age of of 20.43 (SD = 1.58). The variables in this study were how many
classes a student missed per week, how many hours they were taking, how likely they were to miss
class after a night of drinking, and how enjoyable class was after a night of consuming alcohol. How
likely they were to miss class after a night of drinking and how enjoyable class was the morning
after drinking were rated on a scale from 1 to 10. However, the scale for likelihood to miss class
after a night of consuming alcohol was with 1 being unlikely and with 10 being most likely.
Whereas, for the variable of how enjoyable class was

The Article Is Titled “Communication Modality Sampling
The article is titled "Communication Modality Sampling for a Toddler with Angelman Syndrome"
by Jolene Hyppa Martin, Joe Reichle, Adele Dimian, and Mo Chen. The authors explored three
modes of communication, vocal, gestural, and graphic, with a young child with Angelman
syndrome. The researchers investigated which mode of communication would be the most effective
and efficient for the child.
Angelman syndrome can cause cognitive, communication, and physical disabilities. It is a disorder
that affects around 1 in 10,000 births and for the majority of the cases, the cause is genetic.
Angelman syndrome can be caused by an abnormality in chromosome 15. Previous research on
Angelman syndrome and the different communication modes is lacking. ... Show more content on
Helpwriting.net ...
This symbol is taught in gestural, graphic, and vocal mode. The modality sampling has many
advantages, one of the most important being that it provides important intervention resources.
The main purpose of this study was to compare the efficacy of graphic and gestural modes of
communication with a toddler with Angelman syndrome (Martin, Reichle, Dimian, & Chen, 2013).
The participant was Adam, a 21–month–old male with Angelman syndrome. Before the study
started, Adam was assessed in communication, cognition, and fine and gross motor skills. Adam did
not engage in vocal imitation or turn taking. His mother reported that Adam would sometimes
vocalize to get her attention, he would also protest, request, and express excitement. Adam's fine
motor skills were delayed, but he had adequate movements to produce gestures for the study.
Before the sessions started, the three researchers went through a role–play training. This was done to
increase reliability and interobserver agreement between the researchers. The 44 sessions occurred
at the participant's house or at his day care center. The first session was a baseline probe and the rest
of the sessions were divided into five phases. The sessions were held two times per week for five
months. The materials for the study included three objects or activities that Adam liked or

Qnt 561 Week 8 Final Project
Final Project Week 8 College education is an important investment that demands both time and
money. Most students depend on college loans to cater for their costs of attendance, including
tuition and fees. The lenders expect the students to pay back the loans in full amount after college.
However, the ability of the students to pay back the loans is dependent on their success in the job
market, particularly their earnings. Some college degrees lead to careers with good pay while others
do not. In this regard, an evaluation of the return on investment (ROI) of a college degree is
important. The ROI evaluates whether the benefits of attending college, usually the future earnings,
outweigh the costs. It is important to choose a college that guarantees a better ROI to earn back the
tuition costs and offset the student loans. The current evaluation compares the ROIs of two college
majors (business and engineering) and two different types of schools (public and private).
Data Description The data for the study is sourced from Payscale.com and comprises 40 cases for
two college majors (business = 20 cases, and engineering = 20 cases) for the year 2013. There are
four main variables in the data for each major, including the school type, cost, 30–year ROI, and
annual ROI. The school type ... Show more content on Helpwriting.net ...
Mainly, the external validity of the current findings is not ascertained because of the sampling
approach used (Trochim, 2016). In particular, it is evident from the onset that the sample is not
representative of all the colleges in the U.S. but represents the schools with the best ROI for the
chosen majors. In addition, the sample size is small, which affects the accuracy of the estimates. In
this context, further studies are necessary using a more representative and larger

QRB 501 FINAL EXAM 36 ANWSERS Essay and Statistics Analysis

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