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...

...2.41
a.
Number of Internet Searches
Percentages
A few search results 23
First page of search results 39
First two pages 19
First three pages 9
More than first three pages 10
b.
Pie charts and bar graphs are two ways of representing data in a visual format and they both have their strengths and weaknesses with regards to how data and information is displayed. I do not think either one is best. It just depends on what you want the data to depict.
Therefore if I wanted to ascertain the quantity of searching that was done most frequently or the least I would use a bar chart. Likewise I would use the pie chart to depict how the distribution of the different categories relates to the entire population.
c.
What I conclude is that a small amount of people scanned more than the first two pages of search results and the majority of people scanned between a few searches and the first page of search results.
2.51
a.
0.55 0.57 0.57 0.68 0.72. 0.77 0.86
0.90 0.92 0.94 1.14 1.41 1.42 1.51
b.
Stem Leaf
0.5 577
0.6 8
0.7 27
0.8 6
0.9 024
1.1 4
1.4 12
1.5 1
c.
The stem-and-leaf display provides more information than the ordered array because in addition to ordering the...

...Definition of Statistics, Scope and importance of Statistics:Statistics in business and management: Frequency distribution: Parts of table:
Definition of Statistics:
1. Statistics can be defined as the collection presentation and interpretation of numerical data.- Croxton and Crowed.
2. Statistics are numerical statement of facts in any department of enquiry placed interrelation to each other.- Bouly.
3. Statistics are measurement, enumerations or estimates of natural or social phenomena systematically arrangement to exhibit their inner relation.- Conner.
4. By Statistics we mean quantitative data affected to a marked extend by a multiplicity of causes. – Youle and Kendal.
5. The science of Statistics is essentially a branch of applied mathematics and can be regarded as a mathematics applied to observation data.- R.A fisher.
Scope and importance of Statistics:
1. Statistics and planning: Statistics in indispensable into planning in the modern age which is termed as “the age of planning”. Almost all over the world the govt. are re-storing to planning for economic development.
2. Statistics and economics: Statistical data and techniques of statistical analysis have to immensely useful involving economical problem. Such as wages, price, time series analysis, demand analysis.
3. Statistics and business: Statistics is an irresponsible tool of production control. Business executive are relying more and more on statistical techniques for studying...

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