The primary goal of this research is to find out whether the display of red by a female can increase her attraction to a male significantly. In this research, the researchers dis more observations than self-report is because self-report data have well-known limitations in comparison to direct observations of human behavior. We are finding some common reactions across species. Apparently, examinations of behavior represent a more direct test of parallels between human and non-human functioning with regard to attraction. For instance, if a man finds a woman attractive and feels desire toward her, he may not express it behaviorally due to shyness, fear of rejection, the presence of rivals, or a lack of receptivity cues from the woman. But he might still make the first move talk to the woman in a way which is quite straightforward and directly. In order to do this research, the researchers did two experiments but in a same design-completely randomized design. The reason why the experimenter use double blind at experiment 1 is because under this circumstance, the experimenters and the participants they both don't know who is experimental group or control group. This is actually maximally avoided different kinds subjective bias and personal preference. Both experiments were not included the individuals who already know the goals of the experiments or part of the design of those. The result from there people will definitely cause more deviation at the final consequence. They are either bad samples or would give the answers with bias because they have unintentional physical cues. After calculation, the 95% confidence interval to the number of question Intimacy of women who wear red and green are (17.54, 21.00) and (14.77, 18.43) respectively. If give an alternative hypotheses which is “men viewing a target woman green would choose to ask her more intimate questions”. Then my data doesn’t provide significant evidence that true population mean of the number of question...

...Statistics 5371 Final Exam Review Fall 2012.
1. Suppose a researcher wants to design a new study with a power of 0.8 and a significance of 0.05 to test whether the caffeine content for a brand of coffee is really 100mg. A previous study gave a mean caffeine level for this brand of 110 mg and a standard deviation of 7 mg. Use PROC POWER to determine how many cups of coffee need testing.
2. A company did a study to estimate the effect of different promotional strategies on the market share of one of their products. Over a period of 36 months they varied their promotional strategy. There are four strategies: Ordinary (standard pricing and advertising); Discount (price discount with standard advertising); Promotion (standard pricing, enhanced advertising); and Both (price discount with enhanced advertising). Each month one of the strategies was employed and the market share (the percentage of purchasers of the given product type that selected the company's product). Higher market share is better for the company. The table below records the number of months in which each strategy was used (n) and a summary of the market share results in those months.
|Strategy |Pricing |Advertising |n |mean |SD |
|Ordinary |standard |standard |8 |2.40 |0.12 |
|Discount |Discount...

...estimated months employed with the company was around their months of employment were 136 days, either adding or subtracting 28 days , Nearly half of counted to be 136 days. CHJ strongly believes a 95% population months of employment average is between 116 and 165 days.
Job satisfaction
CHJ carefully selected One hundred employees the range was between 7 and 10. Half of the employees choose 8.75 which meant they were satisfied with their job. The other employees who were surveyed choose 8.6 which mean they were satisfied but CHJ could do a little more improvements.
Appendix A
Raw data used in the analysis
Appendix B
Charts and Tables
Frequency of Male and Female Employees by Department
Legend: Blue=Males Red=Females
Appendix C
Descriptive Statistics
Months of Employment
count 139
mean 136.24
sample standard deviation 117.26
sample variance 13,750.36
minimum 1
maximum 359
range 358
confidence interval 95.% lower 116.74
confidence interval 95.% upper 155.73
margin of error 19.49
z 1.96
Job Satisfaction
count 139
mean 8.55
sample standard deviation 1.16
sample variance 1.34
minimum 7
maximum 10
range 3
confidence interval 95.% lower 8.36
confidence interval 95.% upper 8.75
margin of error 0.19
z 1.96
REFERENCES
Cooper, D. R., & Schindler, P.S. (2011). Business Research Methods (11th ed.). New York, NY: McGraw-Hill/Irwin.
...

...An alpha level of 0.05 is arbitrary and was set as a standard by scientists. One of the key concepts in hypothesis testing is that of significance level or, the alpha level, which specifies the probability level for the evidence to be an unreasonable estimate. Unreasonable means that the estimate should not have taken its particular value unless some non-chance factor(s) had operated to alter the nature of the sample such that it was no longer representative of the population of interest
Remember that high alpha level is also associated with high type I error and vise-versa. You may want your type I error to be low when you're dealing with something sensitive. For example, when you're testing whether certain goods have defects or not and you cannot tolerate the defects as the consequences could be fatal. For example, in testing the reliability of the batteries used for pacemakers.
Conversely, high alpha level is ok when you could be relaxed in accpeting the null hypothesis. For example when you insist that there is no difference between the intelligence of north korean and south korean students of the same gender and age groups.. The alpha level should be considered based on personal convictions of how strong you want your evidence to be. The alpha level is the probability or p-value that the researcher is willing to accept as significant. It can also be interpreted as the chance of making a Type 1 or Type 2 error. When you set a more stringent (smaller) alpha...

...Tutorial Questions for Exploratory Data Analysis – Summary Statistics & Graphs
1. Customers of a particular bank rated the service provided by the bank on a scale of one to ten, correct to one decimal point. The bank categorised their customers as either (1) Private Account holders or (2) Business Account holders. The information below summarises customer attitudes towards the quality of service provided by the bank. Use the output to answer the questions below.
a) Briefly describe and compare the distributions of results for the two groups of customers. You should mention appropriate measures of centre and spread, and any other points you feel may be of interest.
b) The survey results were described as being symmetrically distributed. What does this mean, and what evidence is there below to support this claim?
c) The standard deviation of the ratings for the Private Account holders is 1.336. What does this value mean?
d) Verify the value of the standard error of the mean (SE Mean) for the Business Account holders.
e) Determine a 90% confidence interval for the true mean of the Business Account holders and interpret the result in the context of the situation.
Descriptive Statistics: Quality
Variable Use N N* Mean SE Mean StDev Minimum Q1 Median Q3
Quality 1 45 0 5.971 0.199 1.336 3.700 4.800 6.000 7.050
2 30 0 8.323 0.172 0.941 6.200 7.675 8.400 9.025
Variable Use...

...WILMINGTON UNIVERSITY
CLASS INFORMATION & SCHEDULE
FACULTY MEMBER: TERM:
COURSE TITLE:
COURSE NUMBER: MBA 6100
OFFICE HOURS/METHOD OF CONTACT:
I. METHODOLOGY:
A. Teaching Methods: Distance learning course
Announcements and instructor guidance; assigned readings; homework problems, chapter information, textbook power point files, and case study.
This course requires stable and regular access to the internet as well as students’ ability to work independently and possess functional computer skills including proficiency with Microsoft Office. The course requires assignments completed on a weekly basis.
B. Pre-requisites
a. 6 credits of undergraduate accounting OR Wilmington University course MHR 7830 Accounting & Finance for Managers. Students are expected to have a basic understanding of financial accounting.
b. Proficiency with Microsoft Excel software.
C. Course details
a. Assignments and other course activities are required to be completed weekly.
b. The online week starts Monday and ends Sunday night, 11:59 pm EST.
c. All homework, case study, and exam preparation is required to be individual work.
d. Questions about homework and other course-related items are to be posted on the discussion board so that all students have an opportunity to read them. Often many students may have the same question. With the exception of items posted on Saturday or Sunday, expect replies in the form of a discussion post or Blackboard...

...CGE13101 Understanding Society Through Statistical Reasoning
Tutorial 3
1. A wholesale appliance distributing firm wished to study its accounts receivable for two successive months. Two independent samples of 50 accounts were selected for each of the two months. The results have been summarized below.
Frequency distribution for accounts receivable
Amount
March Frequency
April Frequency
$0 - under $2,000
$2,000 - under $4,000
$4,000 - under $6,000
$6,000 - under $8,000
$8,000 - under $10,000
$10,000 - under $12,000
6
13
17
10
4
0
10
14
13
10
0
3
Totals
50
50
Plot the frequency histogram for each month.
2. For the data below, reporting employees’ absences in a particular department during a three-month period, determine the values of the mean and median. The number of days absent is reported to the nearest half-day.
Employee Number
ID of days absent
001 5.0
002 0.0
003 1.5
004 3.0
005 1.0
006 2.0
007 9.0
008 5.5
009 1.0
010 4.0
011 2.0
012 2.0
3. Comment upon and interpret the differences in the values of the mean and median computed in Question 2. Which of these values best represents the “typical” number of days that employees were absent?
4. Which measure of central tendency would be most useful in each of the following instances?
(a) The production manager for a manufacturer of glass jars, who is...

...Race or ethnicity, grade level, and disabilities/special needs are categorical variables. Number of absences, age, reading test score, and math test score are quantitative variables. Concerns – What tests are used to measure reading and math ability, and what are the units of measure for the tests?
15. Cars. Who – Automobiles. What – Make, country of origin, type of vehicle and age of vehicle (probably in years). When – Not specified. Where – A large university. Why – Not specified. How – A survey was taken in campus parking lots. Variables – There are three categorical variables and one quantitative variable. Make, country of origin, and type of vehicle are categorical variables, and age of vehicle is a quantitative variable.
16. Stats students. Who – Students in a statistics class. What – Height (units not specified, but presumably in cm or metres), shoe size, sex, degree program, and birth order. When – Not specified. Where – Not specified. Why – The information was collected for use in classroom illustrations. How – An online survey was conducted. Presumably, participation was required for all members of the class. Variables – There are five variables. Sex and degree program are categorical variables. Height and shoe size are quantitative variables. Birth order can be either categorical or quantitative, depending on how it is used. For example, we could find the proportion of the students who were second born. In this case, we are treating the...

...Chapter 7
Student Lecture Notes
7-1
Business Statistics: A Decision-Making Approach
6th Edition
Chapter 7 Estimating Population Values
Fundamentals of Business Statistics – Murali Shanker
Chap 7-1
Confidence Intervals
Content of this chapter Confidence Intervals for the Population Mean, μ
when Population Standard Deviation σ is Known when Population Standard Deviation σ is Unknown
Determining the Required Sample Size
Fundamentals of Business Statistics – Murali Shanker
Chap 7-2
Fundamentals of Business Statistics – Murali Shanker
Chapter 7
Student Lecture Notes
7-2
Confidence Interval Estimation for μ
Suppose you are interested in estimating the average amount of money a Kent State Student (population) carries. How would you find out?
Fundamentals of Business Statistics – Murali Shanker
Chap 7-3
Point and Interval Estimates
A point estimate is a single number, a confidence interval provides additional information about variability
Lower Confidence Limit
Point Estimate Width of confidence interval
Upper Confidence Limit
Fundamentals of Business Statistics – Murali Shanker
Chap 7-4
Fundamentals of Business Statistics – Murali Shanker
Chapter 7
Student Lecture Notes
7-3
Estimation Methods
Point Estimation
Provides single value Based on observations from 1 sample Gives no information on how close value is to the population parameter
Interval Estimation
Provides range of values...

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