3. Local Revenue Sharing and Competitive Balance
Local Revenue Sharing and Competitive Balance Problem Statement Your textbook shows the
conditions that lead to increased competitive balance with an increase in local revenue sharing. Data
exist on competitive balance and local revenue sharing so you can examine this for yourself. New
local revenue sharing plans were put in place in MLB for the 1995 season and another increase in
revenue sharing was in place for the 2001 season. These changes create a "natural experiment" for
analyzing the impact of changes in local revenue sharing on competitive balance. Procedure (Data
File: Blackboard, Local Revenue Sharing_Competitive Balance_Project3Data.xslx) A. The prepared
sheet shows winning percent data for MLB, from 1990 to date. ... Show more content on
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Explain fully. [Present the relevant chart and refer to it directly in your answer.] The scatter chart
looks like this: Look first at 1995. In the NL, the SD had been falling since before the new sharing
arrangement. In the AL, the SD fell for a couple of years only. So, maybe sharing made the
difference in the AL, but not for long. Now look at 2000. Again, in the NL, the SD had been falling
since before the new sharing arrangement. The same is true in the AL. But the SD jumped
dramatically from there on in the AL. Most recently, it is true that the SD in both leagues has fallen.
So, there is a bit of evidence that sharing enhanced balance, but it isn 't an unmitigated success. 4.
Do the averages you calculated in Part B add anything to your conclusions about the impact of
increased local revenue sharing on competitive balance. [Present the relevant table of averages and
percentage changes and refer to it directly in your answer.] The averages help us to see a bit easier: |
| Averages | | | | League | 1990–94 | 1995–2000 | %Change | 2001–05 | %Change | AL | 0.061 | 0.071 |
17.0% | 0.092 | 30.1% | NL | 0.070 | 0.068 | –1.8% | 0.071 | 4.1% | It looks like the only real evidence
of enhanced balance is in the NL and then it really is just a "flattening out" for the first period of
local sharing (1995–2000). Balance worsened dramatically in the AL for this first revenue sharing
experiment. For the altered arrangment in 2000,
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4.
5. Why Volatility Diminishes As Pension Funds Investments On...
Thomas, Spataro and Mathew (2014) test whether volatility diminishes as pension funds
investments in stock increases. The hypothesis was pre–defined and clearly mentioned at the
beginning of the study in an easy understandable way. To test hypotheses, they use a panel data of
34 OECD countries with specific time range from 2000–2010. They determine the independent
variable which is equity market volatility and several dependent variables including the ratio of
pension funds assets invested in shares and pension funds assets invested at the country level,
average volatility of all OECD countries, value of stocks, inflation rate, income level per capita and
the ratio of public debt to GDP. They have identified the variables what may have an impact on the
volatility of stock market and give clear and detailed information on why these variables were
included in the model.
Data also has been described and reported by measuring central tendency of the data. A main
descriptive statistics of the variables used in the model shown below. The descriptive statistics
includes number of observation, mean, standard deviation and range. The most popular measure of
central tendency is mean, which reports the average of variables. In this study mean represents an
average value of each variable among 34 OECD countries with 374 observations in total. On the
basis of those averages further tests were performed. Median is another measure of tendency, which
represents the middle point but has
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6.
7. The Extraction And Absorption Of Casein
Part A Part A of this experiment examines the extraction and absorption of casein within milk. The
foremost objective is to effectively remove the casein–rich curds from the milk by altering the pH
using acetic acid. Then, the objective is to dry the curds so that only the proteins and various other
materials remain. Afterwards, this part aims to evaluate the spectrum of copper (II) sulfate
pentahydrate, then use this spectrum in comparison to a solution of Casein sodium potassium
tartrate and NaOH in a copper (II) sulfate solution, also known as the biuret test. This denotes the
presence of protein.1 The ultimate objective of this part is to characterize the protein Casein. Casein
is a highly hydrophobic protein.1 However, it's compact spherical particles are able to be held
together through interactions with calcium in milk. This allows the hydrophobic protein to be
suspended within the polar solution through the presence of calcium ions. When acid is added to a
solution the number of H3O+ increases.1 Because proteins contain regions which are charged, the
addition of large amounts of acid alters the charge of the side chains these changes can dramatically
alter the non–covalent interactions of the side–chains.1 Essentially, the addition of the acid creates
an environment which alters the charges of the side chains this causes significant changes to the
forces within the protein folds, altering the protein. Because acid is added to the milk, it creates an
environment
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8.
9. Environmental Effects Of Air Pollution
Historically (pre–1892), the agrarian landscape was conducive to clean air; a time void of pollutants;
however, with the advent of the industrial revolution, air quality was forever changed. Interestingly,
two of today's leading contributors of emissions are the result of two significant man–made events
dating back to 1892 and 1893, which first began polluting the air. First came the emergence of
factories with their emission billowing smokestacks (Davis & Henderson, 2011), which was
followed by the first gasoline–powered automobile housing an internal combustion engine in 1983
(The Library of Congress, 2017). Although there's shared knowledge about the importance of air
quality and the health implications associated with air pollution, factories are still releasing toxic
fumes and automobiles are releasing exhaust (Agency for Toxic Substances & Disease Registry,
2013). Subsequently, that which was the catalyst that carried society into the modern era remains a
public health threat 125 years later.
Throughout the twentieth century and beyond, Americans became attuned to the harmful effects of
air pollution. Thus, through a "combination of market forces that encouraged technological
advancement and increased energy efficiency, common–law nuisance suits, and local and state
regulation pollution levels decreased" (Schwartz & Hayward, 2007, p. 25). However, factories and
automobiles are residual and lingering concerns when considering the increasing number of U.S.
factories
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10.
11. Effects of Stress on Academic Performance
David Galyean
Journal Article Critique
April 12, 2011
A. Purposes of the studies 1. What were the purposes of the studies?
The purpose of the primary study was to determine whether student anxiety and depression
increases after college entry, the extent to which adverse life experiences contribute to any increases,
and the impact of adversity, anxiety and depression on exam performance (Andrews, &
Wilding, 2004). The purpose of the secondary study was to investigate the relationship between
stress factors, perceived stress and academic performance among students in a public institution of
higher learning (Rafidah, et al, 2009).
B. Research questions 1. What were the research questions? The research questions of the primary
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The study used t tests for group comparisons of continuous variables, and chi–squared tests (with
Yates' correction) for dichotomous variables. Logistic regression analysis was used to determine the
relative contribution of significant variables to the prediction of depressive and anxiety conditions
mid–course. Multiple regression analysis was used to determine the relative contribution of
significant variables to 2nd year exam averages. In all the multivariate analyses, gender, age (over
21 or not) and ethnicity (white or not) were entered as control variables (Andrews, & Wilding,
2004). In the secondary study a structured, self–administered questionnaire was developed as a
mode of data collection. The questionnaire comprised of three sections, students' profile; Perceived
Stress Scale (PSS); and Stress Factors Survey (Rafidah, et al, 2009). 2. How were the participants
protected? In the primary study ethical permission was obtained from the University and students
were fully briefed about the research with assurance of anonymity and confidentiality (Andrews,
& Wilding, 2004). There is no evidence in the secondary study that the participants were
protected in any way. The study does not reference permissions or consent of any kind (Rafidah, et
al, 2009).
E. What did the researchers find? Participants in the primary study indicated a significant increase in
both HADS anxiety and
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12.
13. lab report Essay
The Difficulty Limited/Extensive choices pose: Its Effect on motivation and Satisfaction The
Difficulty Limited and Extensive choices pose: Its Effect on motivation and Satisfaction Teagan. R.
Donnelly 214282075 HPS121 Psychology B: Individual and Social Development The Difficulty
Limited/Extensive choices pose: Its Effect on motivation and Satisfaction Abstract The conducted
study is based on personal choice in limited and extensive choice experimental groups. It was
conducted to further the research in choice overload and paralysis of the mind. The central aim was
to assess if people in limited choice groups were more motivated to win, found it less difficult to
choose and were more satisfied ... Show more content on Helpwriting.net ...
The Difficulty Limited/Extensive choices pose: Its Effect on motivation and Satisfaction The results
are contradictory as people in current society have an abundant of choice and perceive it to be better,
however; current research shows it may be more beneficial to limit choice. Our study tried to
explore this in the motivation, satisfaction and difficulty differences across the two choice groups by
conducting a study with six limited choice options and 24 extensive choice options. The study that
Deakin university trimester two psychology students participated in was based on limited and
extensive choice in context to hotels. This study aimed to replicate current findings on motivation
and satisfaction and to test the hypothesis, a person who had fewer hotels to choose from would be
more motivated to win the reimbursement, find it less difficult to choose and be more satisfied with
their choice of hotel over participants from the extensive choice group. Method Deakin Hps121
students were asked to pick one hotel at which they would like to stay at and one lucky student
would win a $400.00 reimbursement for there stay. Participants were split into two groups at
random allocation. Half received a choice from six hotels (limited choice group) whereas the others
received a choice from 24 hotels (extensive choice group). Once participants had chosen their
desired hotel, they were asked a set of six questions, three of
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14.
15. Average And Long Distance Runner
Average Sprinter's weight–
58.78kg – (0.73 x 7)= 53.73 kg
Average Long distance runner weight–
48.9 kg + 5.14= 54.04kg + 5.14= 59.18kg
Average Sprinter's leg calves circ.–
37.5 cm – 2.37= 35.13 cm – 2.37= 32.76 cm
Average Long distance runner's leg calves circ.–
32.2 cm + 2.02= 34.22 cm +2.02= 36.24cm
Average Sprinter's quad circ.–
59.5 cm – (0.96 x 4)= 55.66 cm
Average Long distance runner's quad circ.–
48.1 cm + (3.8 x 3)= 59.5 cm
Average Sprinter's chest circ.–
73.4 cm – 3.43= 69.97cm
Average Long distance runner's chest circ.–
68.03cm + (3.42 x 3)= 78.29cm
Average Sprinter's bicep circ.–
27.3cm – (0.67 x 3) = 25.29cm
Average Long distance runner's bicep circ.–
23.4cm + 1.80= 25.2cm
Before when I compared the ratios of this runner, I found that this runner will be a sprinter, but this
player is in the second standard deviation for the long distance runner and they are in the seventh
standard deviation for the sprinter. This runner 's biceps are smaller for a sprinter because they are in
the first standard deviation for a long distance runner and they are in the third for a sprinter. Also,
this runner has smaller quads for a sprinter because they are in the third standard deviation for a
distance runner and in the fourth for a sprinter. So, basically this runner can be a sprinter because
they have the same ratios of a sprinter and plus if this runner goes to training and develops muscles
then could possibly come closer to the sprinters standard
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16.
17. The Regulations Of The Clean Air Act
In September the world of car industry went upside down when the U.S. Environmental Protection
Agency (EPA) revealed the car manufacturer company Volkswagen had installed a software on their
cars to evade the emission of high pollution during the tests. Volkswagen was proven of violating
the United States code title 42 chapter 85 Subchapter I Part A 7412 that specifies that any
modification in a product that increases the emission of any air pollutant is considered dangerous
and violates the Clean Air Act. Other than Volkswagen more companies are being suspects like
Robert Bosch who is believed of being the developer of the device. On their report, EPA described
the software, as the "defeat device," when the car is going through the ... Show more content on
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Volkswagen strongly contributed all this years in contaminating the air of large cities, like New York
and Atlanta that have high ranks of Asthma residents in the area and there is not much density in the
air. The Asthma and Allergy Foundation of America giving Atlanta the ranking 13 with a score of
86.88 in their Asthma Capitals report.
The Clean Air Act requires vehicle manufacturers to certify to EPA that products will meet the
emission standards to control air pollution, and every vehicle sold must be covered by an EPA–
issued certificate. The Clean Air Act also prohibits manufacturers' the making and selling vehicles
equipped with defeat devices that reduce the effectiveness of the emission control system during
normal driving conditions.
With this big lawsuit, there are a huge number of suspects from the big CEOs at Germany to New
York City. Suspects of the implementation of the defeat device are several however Bosch is one of
the principal suspects. Bosch who seems to be the developer of the software device. According to
the lawsuit against, "Volkswagen's fraudulent scheme was facilitated and aided and abetted by
defendant Bosch, which created the software used in Volkswagen's defeat device." Even though
there is not much evidence that links him with the
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18.
19. Hypothesis Testing
Hypothesis Testing
Hypothesis testing is basically a process that uses statistical inference to test claims about population
parameters. In hypothesis testing we begin by making a tentative assumption about a population
parameter. This assumption is called the null hypothesis and is denoted by Ho. We then define
another hypothesis, called the alternative hypothesis, which is the opposite of what is stated is the
null hypothesis. The alternative hypothesis is denoted by Ha. The hypothesis testing procedure
involves using data from a sample to test the competing claims indicated by the null and alternate
hypotheses.
Testing the hypothesis is similar to a criminal trail. Ho: The defendant is innocent Ha: The ... Show
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Testing this will entail taking a sample of the 2–liter bottles and measuring their contents. In terms
of the hypotheses formulation you give the company the benefit of the doubt and assume that their
claim is true. Using this approach the hypothesis will be stated as given below: H0: [pic]> 67 Ha:
[pic]< 67
In a situation where we are testing the validity of an assumption, the null hypothesis is generally
formulated based on the assumption. The alternate hypothesis is formulated so that the rejection of
the null will provide statistical evidence that the stated assumption is incorrect.
Decision Making
A hypothesis–testing situation involving decision making occurs when a decision maker must
choose between two courses of action, one associated with the null hypothesis and the other with the
alternate hypothesis. For example, on the basis of a sample of parts from a shipment that has just
been received, a quality control inspector must decide whether to accept the shipment or return it to
the supplier because it does not meet specifications. Assume that a specification for the part
indicates a mean length of 1 inch per part is required. If the average length of the part is greater than
or less than the 1inch standard, the parts will cause quality problems. In this case the null and
alternative hypotheses would be formulated as follows: H0: [pic]=
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23. Escargo Case
New Process for Check in and Checkout at Escargo No Yes ... Show more content on
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The chart for the new process has been given. The process map shows how meeting rooms are
allocated to guests. At the inception the customer asks for meeting room availability. The desk asks
the guest about the capacity of the meeting room he requires and the timing when the meeting room
is required. If the capacity of the meeting room matches with the meeting room at Escargo and the
timing of the customer is such that the meeting room is available the guest request is accepted and
the meeting room is booked for the time requested by the guest. At the time when the customer has
booked the room, hotel staff will escort the guest to the meeting room and show him the facility. If
the guest has any equipment to be used in the meeting room, the bell will carry the equipment to the
meeting room. The details of meeting room booking are entered into the customer account and
charges are made to her account. The transaction is closed when the guest leaves the meeting room.
The offering of meeting room at Escargo will improve its value because guests can now conduct
meetings at the hotel. This will enable the guests to conduct more business at Escargo. Escargo will
have to make capital expenditure on building or refurbishing a room and converting it into a meeting
room. The desk staff, hotel staff, and bell staff have spent time whenever a client asks for a meeting
room. Further the cleaning staff will
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24.
25. Icr Department Case Study
The process of ordering at the Bruce W. Carter Veterans Administration Hospital Affairs (VA)
begins with the Purchasing Agent (PA). The PA places orders on the approved vendor website
(USfoods.com), based on the needs stated by the Ingredient Control Room (ICR) Worker on the
ingredient log. There currently is no forecast tool used, the ICR worker does have par levels that
need to be fulfilled. Orders are place on Wednesday to be received on Friday and on Fridays to be
received on Monday. The ICR worker twice a week accounts for items needed on the days the
orders will be placed and the days after as well. The inventory of the items are placed in a log and a
full department inventory is done at the end of every month. (In person communication, E. Aponte,
January 30th, 2017) The order usually arrives on the loading dock from 5:30 am to 7:00 am, if the
driver is gonna be any later than that the driver must notify the ICR worker. The Driver brings the
item from the loading dock to the second floor where they are received by the ICR worker. As this is
happening the ICR worker is taking recently arrived items either to the tray line or the prepping
station as needed. Before the driver heads out the ICR worker does a ... Show more content on
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All items must be labeled with item name and date received. First in and First out is the expectation
and that is how items must be stocked at all times. The ICR has a maximum of 4 hours to stock all
items, however it is prefered that items are stocked before 2 hours to preserve composition of items.
Items that go in first are the freezer items this items are stored at a maximum of 10F. The second
items will be the refrigerator items which are stored at a maximum of 41F. Lastly the dry goods are
stored and must be stored in the dry storage area of the ICR at a maximum of 70F and a minimum of
50F. (Proper Storage Temperatures for USDA Commodities,
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26.
27. A Brief Note On The Environmental Protection Agencies
As the Environmental Protection Agencies (EPAs) regulations though the Clean Air Act (CAA) for
monitoring and policing air emissions through best, newest and current technologies, for the
betterment of public health and welfare there are many options to be compliant per industry and
region. With options, come the pros and cons for each regarding the polluter (industry) and the
monitor (EPA). Additionally the EPA through the CAA identifies in Title II, Parts A–C, the
regulatory requirements for stationary and mobile sources of air pollution in sections; motor vehicle
emissions and fuel standards, aircraft emission standards, and lastly, clean fuel vehicles. Lastly, this
paper will discuss through identifying the major and minor ... Show more content on
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For example, the entire plant is treated as though it is encased and pollution is therefore measured by
the total amount escaping from the bubble, figuratively speaking. Consequently, under the bubble
concept the polluting company can shut down a non–productive furnace in an attempt to offset any
increased pollution resulting from a modification to a different furnace during a period of specific
time during active monitoring. If the resulting emissions reduction is large enough to offset the
increase from the furnace the company intends to modify, the total pollution from the plant does not
increase (Flieder 1985, p. 775) Therefore, the cap and trade conceptual approach to emissions
reduction and trading brings incentives to reducing the manufactures outputs of air pollutants, all the
while overtime reducing the overall amount of regulatory air pollutants per state, and eventually a
country as a whole. The bubble concept on the other hand allows trade–offs between sources within
a facility, while the offset policy allows trade–offs between entire facilities. (Flieder 1985, p. 773)
The major difference between the two are the challenges between the two with regards to
monitoring and enforcement, for example, with the bubble concept, this allows the owners and
workers to avoid installing the best pollution control technology on an altered facility. Under this
guise, that as long as the overall emissions from the plant do not increase
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28.
29. How Statistics For Managers ( Bam1447b )
What I learned in Statistics
Kevin Green
Statistics for Managers (BAM1447B)
Timothy Crawford
12–22–14
What I learned in Statistics
Statistics is a mathematical and scientific process based on the analysis, interpretation, collection, or
explanation, and presentation of a data set. It is applied to an enormous variety of academic
disciplines, from the natural and social sciences to the humanities, and to government and business.
Data analysis is applied when information needs to be converted into the raw data which is more
purposeful information. Statistics is mainly all about the data analysis of a set of data. Before
actually began working on data analysis in real world and on paper, it is important that the basic
knowledge is ... Show more content on Helpwriting.net ...
Descriptive statistics can assist in proper presentation of data such that it can be comprehended and
analyzed by the user. For example, if we had the data about the labor budgets of 200 companies,
then that data would make no sense as it would be difficult to comprehend. But if that data is
classified industry–wise, and arranged, an average is calculated for the industry and for the labor
budgets, and then the interpretation would be more feasible. In this example, descriptive statistics is
extremely helpful because of the simplicity of how the data information needs to be shown.
Following I will briefly explain the two most common types of statistics used to break down and
describe data. The two types are measures of central tendencies and measures of dispersion.
Measures of central tendency are "measures which are at the central position of the frequency
distribution and which are representative of the whole distribution." (Tanner, D. E., & Youssef–
Morgan, C. M. , 2013) A part of the measures of central tendency is the mean, mode and median of
the data for which was describe. Measures of dispersion are "measures that show how far the actual
values are from the measure of central tendency." (Tanner, D. E., & Youssef–Morgan, C. M., 2013)
For example, the average labor budgets from all the 200 stores may be 21% of net sales but
individual labor will not exactly be 21% of net sales. Each store will run a different percentage for
labor.
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30.
31. The Fundamental Concepts Of Statistics
Question 5
This paper will provide a sample of the fundamental concepts in statistics. During research there is
usually variance between individuals within a group or between different groups. During hypothesis
testing the researcher wants to know if the sample of data collected is truly representative of the
entire population.
Null hypothesis testing is concerned with the correlation or differences in means (continuous data)
between groups. The null hypothesis works on the premise that there is no difference between two
groups such as males and females who respond to a set of items (independent sample T–test). The
null hypothesis can also be described as the hypothesized mean being equal to the population mean.
So the null hypothesis is ... Show more content on Helpwriting.net ...
Whereas, if I fail to reject the null, because I believe the groups are the same when, in fact, they are
different this is a type 2 error. In its simplest terms, Type I error is the incorrect rejection of the null
hypothesis, whereas Type II is the incorrect acceptance of the null hypothesis.
Related to hypothesis testing is the Significance level or cut off point (alpha). The P or the
probability value is one of the indicators that can be used to test the null hypothesis. Usually a
significance level = .05 (95% confidence interval) or lower is the accepted rule for rejecting the null
hypothesis. This means that we will accept up to 5% of type 1 error. Also, P < 0.01 sometimes is
referred to as statistically highly significant. If the p value is < .05, then we would reject the null
hypothesis. Visually, on a bell curve (two–tailed test) this can be presented as the critical region or
how far our sample statistic is from the null hypothesis. In relation to P values there is the
confidence interval (or bound). A 0.05 level of significance would be centered on a 95% confidence
interval. If our given value sits outside the bound we would reject the null. However, if our value
sits within the interval we would not reject the null hypothesis.
Another concern during research is the issue of sampling error due to only a portion of the
population being used during a study. Even when bias is reduced by random sampling the
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32.
33. Nt1310 Essay example
Define the following terms:
1. Horizontal Cable : A type of inside cable designed for horizontal use in non–plenum areas. While
horizontal cable must be fire retardant, the National Electrical Code (NEC) specifications are not as
demanding as those governing the use of plenum cable or riser cable. See also NEC, plenum,
plenum cable, and riser cable.
2. Backbone Cable : Backbone cabling is the inter–building and intra–building cable connections in
structured cabling between entrance facilities, equipment rooms and telecommunications closets.
Backbone cabling consists of the transmission media, main and intermediate cross–connects and
terminations at these locations. This system is mostly used in data centers.
3. Patch ... Show more content on Helpwriting.net ...
9. Crimpers: A tool used to crimp, to join two pieces of metal
10. Fish Tape : a flat tempered spring–steel tape or wire used in pulling electric wire and cables (as
into conduit runs) –called also snake wire
11. Continuity Tester: is an item of electrical test equipment used to determine if an electrical path
can be established between two points;[1] that is if an electrical circuit can be made. The circuit
under test is completely de–energized prior to connecting the apparatus
12. Category 5e/6 Cable : cabling is used as a cabling infrastructure for 10BASE–T (Ethernet), full
duplex 100BASE–TX (Fast Ethernet) and 1000BASE–T (Gigabit Ethernet, or GbE) networks. The
Cat 5e standard provides performance of up to 100 MHz and can be used up to a maximum length
of 100 meters.
13. Binder Groups: A group of wire pairs bound together, usually by some sort of color–coded
plastic tape or thread. In a large twisted pair cable, there may be many pairs combined into binder
groups of 25 pairs for ease of connectivity management. Each pair within a binder group is uniquely
color–coded for further ease of management. See also cable and wire.
14. Hybrid/Composite Cable : composite cable A communications cable having both optical and
metallic signal–carrying components. Note 1: A cable having optical fiber(s) and a metallic
component, e.g., a metallic
36. Investigating The Correlation Between Randomized Anova And...
This paper explores how experiments are conducted utilizing statistical analyses. As Goldstein
(2015) explains, experiments are conducted for a variety of reasons. In many cases, experiments are
conducted to advance the knowledge of certain behavior of subjects, some experiments are
conducted for general purposes, and some are conducted in the acts of science. The Analysis of
Variance (ANOVA) is a statistical test that helps researchers narrow the amount of time spent on
determining the variance of two or more groups (Trochim & Donnelly, 2008). This paper analyzes
the components and purpose of the ANOVA test in research.
Quantitative Design: Experiments
Exercise Ch. 11
2. The difference between randomized ANOVA and ... Show more content on Helpwriting.net ...
Therefore, a post hoc error should be run when there is a significant difference between groups. Post
hoc measures the cause and effect of an event; however, some people believe that correlation and
causation are the same. Example, if a person decides not to exercise, then this person becomes
obese.
8. The reason a repeated measure ANOVA is more powerful than a randomized ANOVA, is because
the repeated measure ANOVA controls all variables within a group; whereas the randomized
ANOVA do not have a statistical significance on the group data (Jackson, 2012; Trochim &
Donnelly, 2008).
10a.
ANOVAAlpha 0.05
Sources SS df MS F P value F crit
Between Groups 22.167 2 11.0835 7.514237 0.010181883 4.102821
Within Groups 14.75 10 1.475
Total 36.917 12 3.076417
ANOVAAlpha 0.01
Sources SS df MS F P value F crit
Between Groups 22.167 2 11.0835 7.514237 0.010181883 7.559432
Within Groups 14.75 10 1.475
Total 36.917 12 3.076417
b. Yes, the F_(obt )is statistically significant at the α = .05, but not at the α = .01 level; there should
be a post hoc comparison to determine the〖 HSD〗_.05.
c. After conducting the post hoc comparison, it is determined that a difference of 1.91 or more at the
37. .05 alpha level.
〖HSD〗_(.05 ) = (3.15) √(1.475/4= ) (3.15) √(.607 ) = (3.15) (.607) = 1.91
d. Therefore, the H_(0 )should be rejected and H_(a )should be
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38.
39. Central Tendency
What is central tendency? Explain three important measures of central tendency?
Measures of central tendency are scores that represent the center of the distribution. Three of the
most common measures of central tendency are:
–
Mean Median Mode
–
–
The Mean
The mean is the arithmetic average of the scores.
–
Mean is the average of the scores in a distribution
_ X
=
_________ i N
Σ Xi
Mean Example
Exam Scores 75 91 82 78 72 94 68 88 89 75
ΣX =sum all scores n = total number of scores for the sample
40. Pros
– – –
Pros and cons of using mean
Summarizes data in a way that is easy to understand. Uses all the data Used in many statistical
applications Affected ... Show more content on Helpwriting.net ...
The range is $31,000 $22,000 = $9,000.
Mean Deviation
The mean deviation takes into consideration all of the values Mean Deviation: The arithmetic mean
of the absolute values of the deviations from the arithmetic mean. x−x
∑ MD =
n
Where:
X = the value of each observation n = the number of observations
X = the arithmetic mean of the values || = the absolute value (the signs of the deviations are
disregarded)
Frequency Distribution Mean Deviation
If the data are in the form of a frequency distribution, the mean deviation can be _ calculated using
the following formula: ∑ f | x−x| MD = ∑f
Where:
f = the frequency of an observation x
n = Σ f = the sum of the frequencies
Frequency Distribution MD Example
41. Exercise
Number of outstanding accounts 0 1 2 3 4 Total: Frequency 1 9 7 3 4 24 fx 0 9 14 9 16 |x
x| 2 1 0 1 2
f|x
x| 2 9 0 3 8
Σ fx = 48
Σ f|x
x| = 22
MD =
x=
_
∑ fx ∑f
mean = 48/24 = 2
∑ f | x−x| ∑f
_
MD = 22/24 = 0.92
Standard Deviation
Standard deviation is the most commonly used measure of
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42.
43. Nike Max Sight Contact Lenses Essay example
Nike Maxsight Contact Lenses Descriptive Research Design Designed for athletic individuals in
need of vision correction, Nike's Maxsight contact lenses were developed through a partnership with
Bausch and Lomb. The new lenses are available in grey–green or amber colors, depending on the
primary sport of choice. Offering distortion–free optics by reducing glare and boosting contrast help
Nike athletes "See Sport Better." In addition, the Maxsight lenses filter over 90% of harmful blue
light and UVA and UVB rays (The Eye Center website, 2008). To better serve Nike's customers, the
advertisements in the campaign are to be evaluated. It will be determined which advertisements
consumers find most interesting and effective. Various ... Show more content on Helpwriting.net ...
The most common form of surveys, mail interviews, will also become a part of the descriptive
research design of the Nike Maxsight contact lenses. The pre–selected respondents will include
previous customers of Nike eyewear (including contact lenses), as well as select Bausch and Lomb
customers. The outgoing envelope will include personalized addressing and a Nike Swoosh to aid in
brand recognition. Mail interviews serve to measure consumer preferences, and the questionnaire
will be comprised of fixed alternative questions requiring respondents to choose from a set of
predetermined answers. Questions will include product satisfaction levels such as:
Quality of current contact lenses
Satisfaction with Bausch and Lomb products
Satisfaction with Nike products (general)
Effectiveness of Nike Maxsight contact lenses advertising
Respondents will then rate each question, with a "1" considered "very satisfied" and "5" considered
very dissatisfied. The same incentives will be used across all research methods; customers will be
entered to win a lifetime supply of Nike Maxsight contact lenses. Both Nike and Bausch and Lomb
will implement a Customer Relationship Management platform known as Maxsight Performance on
each company's website. This website survey system will enable the companies to gain real–time
feedback and acquire immediate notification of unsatisfied customers. The data collected
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44.
45. Using Secondary Scales, Reliable And Valid
Through factor analysis, we were able to conclude that our scales were reliable and valid. By using
secondary scales from known academic sources, we knew that they had been vetted by academics,
academic councils, and other groups and/or organizations. Since those scales had been scrutinized
and analyzed before, this reduced possible error on our end and reduced analytical time. When
incorporating those scales into our research, we found that only two scales were dropped and just a
few response items were dropped. After performing a factor analysis, the remaining scales were
deemed reliable and valid. Being able to create the survey in a timely fashion due to the quick
analysis of the scales allowed us to quickly and efficiently meet our first objective of acquiring data
from women ages 18 and older who shop for their household, in relation to the variables associated
with purchasing products. The ANOVA test ran for income, ethnicity, and age identified the
following: there were no significant differences for the income ANOVA; ethnicity had a significant
difference for the fairness dependent variable with a significance level of .036; the age ANOVA test
showed that there were significant differences for shopping enjoyment at a significance level of .036
and price quality at .011. Through our Tukey test, we found the differences for age were from
shopping enjoyment age selections "ages 22–35" and "ages 36–50", both with a significance level of
.045. The post hoc analysis also
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46.
47. Arithmetic Mean and Bounce Plate Essay examples
Guessing the Bounce Plate Affect
Abstract
The goal behind this experiment was to estimate the distance a ball would travel after it falls a
certain distance and bounces off a metal plate which has an angle of 45 degrees. To find this we had
to take the basic equations for kinematics which are (1/2)at2=x and v=v0+at and combine them to
make an equation that will help us solve for the distance the ball will travel after hitting the bounce
plate. The equation came out to be R=g*(sqrt(2)/sqrt(g))*(sqrt(H)*sqrt(h)), as that g is acceleration
of gravity, h is the height of bounce plate, and H is the height of where the ball will be dropped.
After completing this experiment the result was that the standard deviation was +/– 2.3 cmfrom the
... Show more content on Helpwriting.net ...
|X(3) |18.7 |27.2 |24.2 |13.8 |
|X(4) |19.5 |25 |27.9 |13.1 |
|X(5) |15 |26.4 |22.8 |13.3 |
|X(6) |20.3 |28.7 |24.6 |10 |
|X(7) |23.5 |28.7 |24.6 |17.2 |
|X(8) |16.7 |23.6 |26.6 |13.9 |
|X(9) |16.2 |25.8 |23.2 |15.6 |
|X(10) |19.2 |25.5 |24.5 |17.2 |
|X(11) |21.5 |29 |26.4 |15.1 |
|X(12) |18.7 |28 |26.5 |14.3 |
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48.
49. Innovations in Handwriting Recognition Essay
Emergence networks mimics biological nervous system unleash generations of inventions and
discoveries in the artificial intelligent field. These networks have been introduced by McCulloch and
Pitts and called neural networks. Neural network's function is based on principle of extracting the
uniqueness of patterns through trained machines to understand the extracted knowledge. Indeed,
they gain their experiences from collected samples for known classes (patterns). Quick development
of neural networks promotes concept of the pattern recognition by proposing intelligent systems
such as handwriting recognition, speech recognition and face recognition. In particular, Problem of
handwriting recognition has been considered significantly during ... Show more content on
Helpwriting.net ...
The first study discusses the basic operations of erosion and dilation and present a system to
recognize six handwritten digits. For this purpose, a novel method to recognize cursive and
degraded text has been found by Badr & Haralick (1994 ) through using technology of OCR. Parts
of symbols (primitives) are detected to interpret the symbols with this method (KUMAR et al.
2010). The study involves mathematical morphology operations to perform the recognition process.
Cun et al. (1998) challenge this problem by designing a neural based classifier to discriminate
handwritten numeral. This study achieved a reliable system with very high accuracy (over 99%) on
the MINIST database. Moreover, the gradient and curvature of the grey character image have been
taken into consideration by Shi et al. (2002 ) to enhance the accuracy of handwriting digits
recognition. Uniquely, Teow & Loe (2002 ) identify new idea to solve this problem based on
biological vision model with excellent results and very low error rate (0.59%). The discoveries and
development have been continuing through innovating new algorithms and learning rules. Besides
efficiency of using these rules individually in the machine learning, some researchers have going
further in developing the accuracy and performance of the learning by mixing several rules to
support one
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50.
51. Testing the Difference Between the Respondents Demographic...
Testing the difference between the respondents demographic groups As mentioned in chapter 4:
table 4–3, there was a very different between the number of respondents within some demographic
groups, e.g. the gender groups compromised 185 males and 25 females and similarly, the academic
background groups compromised 3 high school, 185 graduate and 85 postgraduate holders.
Therefore, generalising the results of testing the difference between the means of these groups may
be invalid and meaningfulness. However, it could give general indicators about the opinion of each
group regarding the performing the SECI and innovation processes within the Egyptian banks.
In this term, there are two methods to test the difference means between groups ... Show more
content on Helpwriting.net ...
In the other hand, the One–way ANOVA test is used to test whether three or more groups means are
different. This test is suitable for testing the means difference between the years of experience
groups (≤ 5, 6–10, 11–15, 16–20 and >20yrs), between the academic background groups (high
school, graduate and postgraduate) and between the job title groups (junior, senior, head of
department, auditor, vice manager and manager)
Independent t–test results
The t–test can be used to test whether two groups are different. The independent t–test is used when
there are two experimental conditions (e.g. male and female or public and private banks) and
different participates have been used in each condition (e.g. SECI and innovation processes).
Independent t–test table yielded by PASW normally mentions two rows for the test statistics: one
row is labelled Equal variance assumed, while the other is labelled Equal variances not assumed.
Which row is considered is based on the significant of Levene's test for Equality of Variances.
Therefore, if the Levene's test is significant, the Equal variances not assumed row will be used for
the t–test. The significant of this difference is based on the significant of the t–test. That is, if this
test is significant, it could be included that the difference between the means of these
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52.
53. Different Research Methodologies For Health And Social...
In this assignment I will be comparing different research methodologies, which might be used in
health and social care setting.
We use research in health and social care because this helps to explain the methods of social science
research, projects usually involve investigating peoples feeling, perceptions and also attitudes. In a
laboratory–based environment, research is usually linked into diseases and disorders by using
tissues and chemicals for example. This is more likely to be based on scientific method until the
research needs to involve members from the public.
Quantitative Research
"Quantitative research involves numbers and measuring quantitative or amounts". (Whitehouse, M,
2010:425). Methods that involve quantitative data may ... Show more content on Helpwriting.net ...
Primary Sources
These are research techniques that can be used to produce data such as questionnaires, structured
and unstructured interviews, observations and scientific experiments.
Secondary Sources
These are sources that had been already published which now can be obtained through different
kinds of media such as books, journals, and magazines. Usually researchers will use digital media to
access these sources such as using the internet or online journals.
Questionnaires
"Research in health and social care usually relies on obtaining information from individuals using
social research methodologies". (Whitehouse, M, 2010:428). Questionnaires are suitable for
obtaining important information from many individuals in a survey who are answering the questions
this is known as 'respondents'. Questionnaires gives us the opportunity to ask questions of
participants but also allows answers to be given according to the options constructed by the
researcher using a response frame. A response frame allows a limited choice of different responses.
Also there are self–completion questions this allows respondents to fill in the answers themselves.
The questionnaire may be delivered to individuals directly by hand or by post or even online the
researcher may contact through an email address. They may be asked to complete a customer
satisfaction questionnaire. For example at college we are sent online questionnaires through are
student email, questionnaires
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54.
55. Effects Of Pesticides On Heavy Metal Pollution
Introduction
Industrial pollution has been identified as a major problem in Egypt and is addressed under the
National Pollution Prevention Program (NIPPP). (Abou Elela, 2002). Fertilizers industry is
considered a sub–sector of the chemical industries which is based on the usage of numerous types of
chemicals in large quantities. Increase in fertilizer use has become unavoidable to achieve maximum
agricultural harvest. For instance, due to increasing population pressure, the use of chemical
fertilizers has become essential in increasing crop production efficiency and meets the high needs
for agricultural products in countries with a growing population. Waste from fertilizer factories
usually ends up in sediments and soils. This waste may disturb the health of soil ecosystems. Soil
quality and productivity in these areas have been dramatically reduced. Heavy metals contamination
due to the emission of fertilizer industry is significant problem, which leads to negative influence on
soil characteristics and limitation of productive and environmental functions (Kassir et al., 2012). A
number of field studies have described the reaction of microarthropods on heavy metal pollution
(e.g. Bengtsson and Rundgren, 1988; Hågvar and Abrahamsen, 1990; Rabitsch, 1995; Russell and
Alberti, 1998). Soil organisms may play an important role in the transfer of metals through the
ecosystem in metal–polluted environments (Janssen et al., 1991). The most numerous groups of
microarthropods
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56.
57. Literature Search
Grap, Mary.,Munro, Cindy., Hummel, Russel., Jessica., Elswick, and Sessler Curtis. 2005. Effect of
Backrest Elevation on the Development of Ventilator–Associated Pneumonia. AACN. Retrieved
from ajcc.aacnjournals.org on March 3, 2012.
Abstract
Background Ventilator–associated pneumonia is a common complication of mechanical ventilation.
Backrest position and time spent supine are critical risk factors for aspiration, increasing the risk for
pneumonia. Empirical evidence of the effect of backrest positions on the incidence of ventilator–
associated pneumonia, especially during mechanical ventilation over time, is limited.
Objective To describe the relationship between backrest elevation and development of ventilator–
associated ... Show more content on Helpwriting.net ...
Objective To evaluate the extent to which nurses working in intensive care units implement best
practices when managing adult patients receiving mechanical ventilation.
Methods Nurses attending education seminars in the United States completed a 29–item
questionnaire about the type and frequency of care provided.
Results Twelve hundred nurses completed the questionnaire. Most (82%) reported compliance with
hand–washing guidelines, 75% reported wearing gloves, half reported elevating the head of the bed,
a third reported performing subglottic suctioning, and half reported having an oral care protocol in
their hospital. Nurses in hospitals with an oral care protocol reported better compliance with hand
washing and maintaining head–of–bed elevation, were more likely to regularly provide oral care,
and were more familiar with rates of ventilator–associated pneumonia and the organisms involved
than were nurses working in hospitals without such protocols.
Literature Search5
Conclusions The guidelines for the prevention of ventilator–associated pneumonia from the Centers
for Disease Control and Prevention are not consistently or uniformly implemented. Practices of
nurses employed in hospitals with oral care protocols are more often congruent with the guidelines
than are practices of nurses employed in hospitals without such protocols. Significant reductions in
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58.
59. The Data Collection And Sample Size During The Early...
A researcher must think about the data collection and sample size in the early stages of the research
process because it will affect the way the researcher analyzes the data. There are two main reasons a
researcher should do it in the early stages. The first one is that the researcher cannot apply just any
technique to any variable. The other one is the size and nature of your sample are likely to impose
limitations on the kinds of techniques you can use (Bryman 2008). The female researcher wants to
apply old research conducted that she read in an article and see if it applies to involvement in leisure
clubs and gyms. She handled the unanswered questions by programing the software to account for
the 'missing data.' Techniques of data analysis are applicable to some types of variable and not
others you need to know the difference between interval/ratio, ordinal, nominal, and dichotomous
variables. According to Bryman, the interval variables are, "the distance between the categories that
are identical across the range of categories." Ordinal variables are variables that can be rank ordered,
but the distances between the categories are not equal across the range. Next are nominal variables,
which are comprise categories that cannot be rank ordered. Finally, dichotomous variables, they are
variables that contain data that have only two categories. Univariate analysis refers to the analysis of
one variable at a time. A frequency tables provides numbers and percentages that
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60.
61. The Statistical Data Set Taken From The 2012 General...
There are many statistical data sets that I could have used for this research, however I chose to use
the statistical data set taken from the 2012 General Social Survey (GSS2012.sav) because it was
conducted among individuals living in the United States of America, whom of which are my units of
analysis. The independent variable that I used for my research was respondent's sex, which was
labeled sex. For my dependent variable, I used respondent's income, labeled rincom06. The control
variables that I used were the race of respondents, labeled race_2, education after high school,
labeled educ_4, and age, labeled age_5.
I chose to use the control variable of race in order to determine whether one's race affected ones pay,
and highlight the ... Show more content on Helpwriting.net ...
If I were to find a relationship between income and sex after the means comparison test, I would run
a multivariate regression test in order to analyze my dependent variable with my independent and
control variables.
For the purpose of the experiment, I must acknowledge that my hypothesis may be wrong. Therefor,
my null hypothesis is that there is no relationship between sex and income, proving that the pay gap
does not exist. My goal in my research is to reject my null hypothesis, and in turn accept my
working hypothesis.
Results
In order for a theory to be accepted, it must be tested. While one can rely upon the results of other
researchers, it is important to conduct one's own test in order to correctly receive results. Although I
read that there is a relationship between sex and income, I wanted to test these variables for myself.
In order to find an initial relationship I conducted a means comparison test between my independent
variable, sex, and my dependent variable, respondent's income. When I ran the means comparison
test I found that the average income of males was 15.54, the equivalence of 15.54 with regards to
income falls between the economic bracket of $25,000–$29,999 and $30,000–$34,999. The average
income of females was 13.21, which fell between the economic bracket of $20,000–$22,499 and
$22,500–$24,999. This information has the potential to show me that my hypothesis is correct
because in this statistical test male respondents have
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62.
63. The Differences Between The Millennials And Genx
To examine the first research question, a MANOVA was conducted to determine if generational
differences existed for the MWEP. The results indicated significant differences by generation. The
post hoc results showed that millennials scored higher in hard work (Millennials M=3.94, Gen X
M=3.82, Boomers M=3.70), centrality of work (Millennials M=3.39, GenX M=3.23, Boomers
M=3.09), lower in morality/ethics (Millennials M=4.14, GenX M=4.26, Boomers M=4.48) and
wasting time (Millennials M=4.23, GenX M=4.29, Boomer 4.37) compared to the other generations.
Additionally, the millennials scored higher in leisure, self–reliance, and delay for gratification
compared to the Baby Boomers. There were very little differences between the Millennials and
GenX's. Real et.al (2010) indicated "while these results were statistically significant, the differences
were both small and in unexpected directions, suggesting that any differences were of little practical
significance" (p. 307). Information and comments collected as results of the focus group sessions
were mixed and not totally in favor of positive millennials' work ethics. To examine the second
research question, the MANOVA results for job values indicated there are generational differences
in job values where df = 4 and p=<.001. Specific results for discrimination against women indicated
millennials scored the lowest M=2.36, SD =.95, GenX M=2.52, SD=.89, and Boomers M=2.61,
SD=.83. They also scored the lowest for gender equity
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64.
65. Nurses ' Preparedness For Women Exposed With Intimate...
Summary In this article, the authors discuss nurses' preparedness to identify and provide nursing
care to women exposed to intimate partner violence. This was a quantitative experimental study that
involved a questionnaire that measured nurses' preparedness when encountering with women
exposed to IPV. The questionnaire was designed to identify them as the nurse and the interventions
the nurses would provide to the women. Of 174 primary health care centers, 40 were randomly
selected to participate in the study, and only one declined to participate. The nurses in each PHCC
were contacted by telephone and received verbal and written information about the study. The data
was analyzed using statistical software, STATA, and Pearson's chi–square test was used to test the
statistical significance of the findings. Questionnaires were distributed to 277 nurses and the
response rate was 69.3%.
Critical Analysis Eva M Sundborg, Nouha Saleh–Stattin, Per Wändell and Lena Törnkvist were the
authors of this article; however, the credentials of the authors and researchers are not stated in the
article. The title of the article contained both the study population, which is nurses, and the key
variable, which is the preparedness to care for women exposed to intimate partner violence. The
abstract summarized the main features of the report. The abstract discussed that the researchers
wanted to assess how prepared the nurses were to identify IPV in women exposed and provide
nursing care for
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66.
67. Correlation Between Efficacy And Efficacy Of Vascular...
Recently, several studies reported that SP TFESI is a safer alternative to the conventional SA
approach, because of the risk of vascular complications [20]. This study aimed to investigate the
contrast spreading pattern and its correlation with efficacy for SP TFESI. Contrast was examined for
the spread to both the ventral and dorsal epidural spaces, and in cephalic and caudal directions.
Clinical efficacy was significantly correlated with the cephalic spreading pattern. These results
indicate that the spreading of injectate could be one of the factors determining the clinical efficacy
in SP TFESI. Several previous studies reported conflicting results for differences in clinical efficacy
between SA and SP TFESI. [5,15]. Desai et al. ... Show more content on Helpwriting.net ...
However, Vassiliev et al. reported preferential spread of contrast onto the medially located nerve
roots (lower level of nerve root) [17,23]. Furman et al. observed an equivalent extent of spread in
both the directions in the presence of 1 mL of contrast [19]. In this study, the contrast medium
spread to a similar degree on our grading system in both the cephalic and caudal directions.
The vertical contrast spread pattern analysis showed a significant correlation between the cephalad
spreading and clinical efficacy in the ventral expansion group. As mentioned above, Desai et al.
confirmed that the more level of vertebra covered by the contrast would lead to a better clinical
effect [15]. More amount of medication passed into the epidural space would eventually lead to
increased flow of medication into the adjacent nerve roots as well as the nerve root of target level. In
concordance to this, we assume that the positive correlation between the vertical contrast extent and
therapeutic effect is a reasonable phenomenon.
In this study, since most patients who underwent L4–5 TFESI were thought to have L5
radiculopathy, the therapeutic effects might not be the direct results of TFESI on the L4 nerve root.
In these cases, more medial spread of medication might lead to more successful reduction of the L5
root symptoms, because the L5 root is located medial to the L4 root at L4–5 level. According to
Vassiliev's study [17], volume–spread
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68.
69. Effects of Probiotic Youghurt and Cheese on Blood Lipids
Background: There have been studies investigating the effect of probiotic yoghurt on blood lipids.
However the results are conflicting. Also, there have been few studies involving probiotic cheese.
Purpose: The goal of this trial was to compare the consumption effect of probiotic yoghurt with
probiotic cheese on blood lipids.
Methods: 180 subjects aged 18 – 65, with <6 mmol/l total cholesterol were participated in a 2–
month trial. Subjects were assigned into three 60–person groups; probiotic cheese group (30 g/d),
probiotic yoghurt group (100 g/d) and control.
Results: A significant reduction in cholesterol was observed at the end within both groups; Cheese
(–0.42 mmol/L; 95% CI, –0.47, –0.37; P<0.0001), Yoghurt (–0.15 mmol/L; 95% CI, –0.25, –0.05;
P=0.007). HDL, LDL and Triglyceride also showed significant improvements during 2–month
period. Cholesterol comparison with control also revealed a significant reduction in both groups;
cheese (–0.51 mmol/L; 95% CI, –0.63, –0.39; P<0.0001), yoghurt (–0.27 mmol/L; 95% CI, –0.39, –
0.15; P<0.0001).
Conclusion: Probiotic cheese showed greater improvement effects on blood lipids compared to
probiotic yoghurt. This trial was registered in the Australian New Zealand Clinical Trials Registry
(ANZCTR) at http://www.anzctr.org.au as ACTRN12612000623897
Introduction
Cardiovascular diseases (CVD) are among the most common causes of morbidity and premature
death worldwide [1]. Based on WHO reports, it has been noted that by 2030, CVD
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70.
71. Demand & Inventory Management
Forecasting demand and inventory management using Bayesian time series
T.A. Spedding University of Greenwich, Chatham Maritime, Kent, UK K.K. Chan Nanyang
Technological University, Singapore
Batch production, Demand, Forecasting, Inventory management, Bayesian statistics, Time series
Keywords
Introduction
A typical scenario in a manufacturing company in Singapore is one in which all the strategic
decisions, including forecasting of future demand, are provided by an overseas office. The forecast
model provided by the overseas office is often inaccurate because the forecasting is performed
before the actual production schedule and it is based on marketing survey results and historical data
from an overseas research team. This ... Show more content on Helpwriting.net ...
Bayesian dynamics time series and forecasting techniques can be used to solve inventory problems
because Bayesian inference statistics has the analogue idea that posterior knowledge (actual sales
demand) can be derived from prior knowledge (such as the manager's experience) and the likelihood
(the similar or expected trend) of the product demand (Box and Tioa, 1973; Jeffreys, 1961; Lee,
1988; Press, 1989). In many real life forecasting problems (for example when previous demand data
are not available for newly launched products), there is little or no useful information
This work was carried out while the author was Associate Professor in the School of Mechanical and
Production Engineering at Nanyang Technical University in Singapore.
Integrated Manufacturing Systems 11/5 [2000] 331±339 # MCB University Press [ISSN 0957–
6061]
[ 331 ]
T.A. Spedding and K.K. Chan Forecasting demand and inventory management using Bayesian
time series Integrated Manufacturing Systems 11/5 [2000] 331±339
available at the time when the initial forecast is required. Hence, the early forecast must be based
largely on subjective considerations (such as the manager's experience and the general demand of a
72. similar or comparable product). As the latest information (actual sales demand) becomes available,
the forecasting model is modified with the subjective estimation in the presence of the actual data.
This
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73.
74. What IsHow Satisfied With Job?
1A I) The total number of people is 1038. The mean is 7,40, the median is 8.00, the maximum is 10
and the minimum is 0.
1A ii)
According to the histogram the mean is 7.4 and the standard deviation is 2.075 of the variable "How
satisfied with job".
1Bi)
This variable is a categorical one as it has two groups. The groups are male and female. Looking at
the table men have a higher mean than women. The mean for the women is 7.36 and the mean for
males is 7.45. Women are often stereotyped as less competent leaders. Likewise, they are generally
less preferred as bosses (Lup 2017). Women generally experience more negativity than men if they
were to show a more leadership style management in their job (Lup 2017). ... Show more content on
Helpwriting.net ...
For example the majority of people believed that they felt depressed none or almost none of the time
with a percentage of 67.3. People who had experienced depression sometimes had a percentage of
25.3%. Those who experience it "most of the time" was 4.9 and lastly people who experience it all
the time had a percentage of 2.4.
Gender * Felt depressed, how often past week Crosstabulation
Felt depressed, how often past week
Total
None or almost none of the time
Some of the time
Most of the time
All or almost all of the time
Gender
Male
Count
688
226
76. .017
Likelihood Ratio
10.322
3
.016
Linear–by–Linear Association
8.576
1
.003
N of Valid Cases
2283
a. 0 cells (0.0%) have expected count less than 5. The minimum expected count is 23.42.
2Ci) In the cross tabulation there seems to be a statistical association between the variables. In the
"all or almost all of the time" category the percentage for male and female are almost comparable as
it's 2.2% for male and 2.6% female. In
... Get more on HelpWriting.net ...
77.
78. 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
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79.
80. Questions On Financial Data Reported Essay
In this paper I will demonstrate the use of financial data reported in SEC's Edgar database and data
reported by Finance.Yahoo.com (Figure 2a and 2b) to access the risk and return while accessing
EMCOR Group Inc. stock performance and compare the performance of EMCOR with the S&P
500.
EMCOR Group Inc.
EMCOR Group stock prices have fluctuated greatly over the last ten years, the lowest closing stock
price occurred in February, 2009 at a rate of $15.41, the highest recorded closing for EMCOR stock
occurred in October, 2015 at $50.40. (Table 1) EMCOR has been a publically offered stock since
1994, the year they were founded. EMCOR began paying dividends in January of 1997 and
experienced its first stock split in February of 2006 and again in July of 2007. (Figure 1)
Stock and Market Risk and Return
EMCOR has in the last ten years had an average return of 14%, which is significantly higher than
the average stock return of 6.9% for the S&P 500.The standard deviation for EMCOR was 24.3%,
while the S&P 500 was 18.6%. EMCOR's standard deviation is in line with publicly traded firms
which are typically 20% to 30%. (Brigham & Houston, 2016, pp. 267–268) A lower standard of
deviation is generally preferred when investments are expected to generate similar returns, as the
stock with a lower standard of deviation is thought to be less risky. However, EMCOR's coefficient
of variation was 1.74 compared to the S&P 500 with a coefficient of variation of 2.71 during the
same time period. This
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81.
82. The Effects Of Physical Exercise On Children
statistical significance with a p–value of 0.16 at 5 minutes, 0.04 at 10 minutes and 0.03 at 20
minutes. It does not; however, show a statistical significance in digit recall with changes from p
=0.10 at a 5 minute exercise break, p=0.48 at a 10 minute exercise break and p=0.18 at a 20 minute
exercise break, and does not show a significant difference between cognitive functioning and
physical activity in children, thus refutes the notion that physical exercise may be affected by
different exercise doses. Findings again differed for Raine et al. (2013) as results showed an increase
in recall of locations on a map on the third day of testing after learning the information tested via the
study only strategy (with free recall and cued recall) and the test study strategy (with free recall and
cued recall) (Fig. 4). Figure 4 shows a significant difference between higher fit children compared to
lower fit children using the four different strategies. The study did show a decrease in accuracy of
the study only strategy tested with cued recall and testing strategy with free recall compared to the
testing strategy with cued recall. Study only with free recall showed a decrease in accuracy
compared to the three previously mentioned.
Additional research has also shown that acute physical activity in children may potentially increase
the P3 amplitude and increase the latency in the brain, most effectively at the central–parietal region,
within 25 minutes when incongruent tasks are
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83.
84. Investigation Of Garhwal Region Using Shallow Seismic Survey
A REPORT ON Subsurface Investigation of Garhwal Region Using Shallow Seismic Survey Under
the guidance and supervision of : Prof. Dr. Anand Joshi Submitted by, Saquib Ali ENROLLMENT
NO. : 10411022 INTEGRATED M.TECH. GEOPHYSICAL TECHNOLOGY DEPARTMENT OF
EARTH SCIENCES, INDIAN INSTITUTE OF TECHNOLOGY, ROORKEE.
ACKNOWLEDGEMENT I would like to thank Prof. Dr. Anand Joshi for the guidance and help of
his to complete the report and his continuous guidance throughout my dissertation work. I would
also like to thank Mr. Sohan Lal, Mr. Deepak Kumar, Mr. Anmol Anand, Mr. Sanjay Kumar for their
continuous encouragement and help to complete the dissertation work and prepare the report. I
would also like to thank the Department of Earth Science for providing the opportunity to do
Master's dissertation. I would also like to thank my other friends and colleagues who helped me with
the preparation of report and presentation. Saquib Ali, Indian Institute of technology Roorkee,
Roorkee, Uttarakhand. Table of contents: 1. Objective 2. Methodology 2.1 Generation of Surface
wave and Data processing 2.2 Workflow 3. Data and Results 3.1 Field geometry and data
acquisition 3.2 Shot gather 3.3 Setup geometry 3.4 Dispersion curves 3.5 Initial velocity model 3.6
Final velocity model 3.7 Results 4. Conclusions 5. References 1. Objective The ultimate objective of
this project was
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