Chapter 1:
1.1 -
Three different types of drinks are sold at a fast food restaurant – soft drinks, fruit juices and coffee. A) Explain why the type of drinks sold is an example of a categorical variable Categorical variables take values that fall into one or more categories. As there are 3 different types of drinks, they would all fall into their own categories rather than numerical.

B) Explain why the type of drinks sold is an example of a nominally scaled variable The type of drinks sold is an example of a nominally scaled variable as there are no rankings involved between the drinks. For example, each type of drink is equal.

1.3 -
Suppose that you measure the time it takes to download an MP3 file from the internet. A) Explain why the download is a numerical variable
Numerical variables record numbers through observations. As the time taken to download the file produces a number represented by time, the download is a numerical variable.

B) Explain why the download time is a ratio scaled variable The download time is a ratio scaled variable as the time differences involve a true zero point, meaning that they use the same time scale.

1.7 -
Suppose the following information is collected from Andrew and Fiona Chen on their application for a home mortgage loan at metro home loans: A) Monthly expenses; $1 820
Type: Numerical - Continuous
Level of measurement: Interval scale

B) Number of children being supported by applicant(s): 2
Type: Numerical - Discrete
Level of measurement: Interval scale

C) Annual family salary income; $95 000
Type: Numerical - Continuous
Level of measurement: Interval scale

D) Marital status: Married
Type: Categorical
Level of measurement: Ratio scale
Classify each of the responses by type of data and level of measurement. Chapter 2:

2.5
A)

B)
Pat should have on display many white, blue and red cars, as they make up over half of the...

...Displaying categorical data HW
3.1 Each person in a nationally representative sample of 1252 young adults age 23 to 28 years old was asked how they viewed their “financial physique” (“2009 Young Adults & Money Survey Findings,” Charles Schwab, 2009). “Toned and fit” was chosen by 18% of the respondents, while 55% responded “a little bit flabby,” and 27% responded “seriously out of shape.” Summarize this information in a pie chart.
3.3 A survey conducted by Robert Half Technology appeared in USA Today (October 22, 2009) “Whistle – Don’t Tweet – While you Work,” (www.roberthalhtechnology.com). One questions asked: “Which of the following most closely describes your company’s policy on visiting social networking sites, such as Facebook, MySpace and Tweeter, while at work? The responses are summarized in the following table:
Response category
Relative Frequency (expressed as percent)
Prohibited completely
54%
Permitted for business purposes only
19%
Permitted for limited personal use
16%
Permitted for any type of personal use
10%
Don’t know/no answer
1%
a. Explain how the survey response categories and corresponding relative frequencies were used or modified to produce the following table:
b. Using the original data in the table, construct a segmented bar graph.
c. What are two other types of graphical displays that would be appropriate for summarizing these data
3.8 The report “Findings from the 2008 Administration of the College...

...1.1 For the following situation, indicate whether the statistical
application is primarily descriptive or inferential.
“The manager of Ann’s Fabric Shop has collected data for 10 years
on the number of each type of dress fabric that has been sold at the
store. She is interested in making a presentation that will illustrate
these data effectively.”
Suggested Answer:
This application is primarily descriptive in nature. The owner
wishes to develop a presentation. He will most likely use charts,
graphs, tables and numerical measures to describe his data.
1.2 Consider the following graph that appeared in a company
annual report. What type of graph is this is this? Explain
This is clearly a bar chart. A bar chart displays values associated
with categories. In this case the categories are the departments
at the food store. The values are the total monthly sales (in
dollars) in each department.
Note: A histogram has no gaps and the horizontal axis represents
the possible values for a numerical variable.
1.18
Explain the difference between a closed-end question and an
open-end question.
Closed-end questions require the respondent to select from a
short list of defined choices.
Open-end questions allow respondents the freedom to respond
with any value, words, or statements of their own choosing.
Note: Demographic questions are questions relating to
respondent’s characteristics, backgrounds, and attributes.
Example: Gender, Marital Status etc...

...Problem #1
A)
B) C)
D) Young Professional would be a good advertising outlet for online brokers.
Problem #2
A) Ho: u = $520
Ha: u > $520
B)
C) Assumptions:
1) Simple Random Sample (SRS): We can assume that the sample was selected by random.
2) 10% Assumption: We can assume that the sample size (n=27) is less than 10% of the population.
3) Nearly Normal: n = 27, which is less than n=30. We need to look at the boxplot and histogram to determine if the sample is normal. The diagram shows that the sample data is skewed to the left, with an outlier at 200. The sample is not normal because the diagram is not unimodal, symmetrical, and it contains an outlier.
D)
E) Since the p-value is less than the significance level at 0.05, we reject the null hypothesis and conclude that there is sufficient evidence to support the claim that the mean weekly pay for all working women is significantly greater than that for women with a high school degree.
F)
G) Results from part e) and f) agree. From the confidence interval we can conclude that we are 95% confident that the true mean weekly pay for all working women is between (603.4189 and 692.9515). AARP Bulletin’s reported average weekly pay for a woman with a high school degree is $520, which does not lie within the confidence interval.
H)
I) Yes, the conclusion would still be the same. Even though the outlier was removed, the...

...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...

...Descriptive Statistics
QNT/561
July 29, 2014
Descriptive Statistics
Job Satisfaction
Central Tendency: Mean=8.5 JDI
Dispersion: Standard Deviation=1.16 JDI
Number: 139
Min/Max: 7 to 10 JDI
Confidence Interval: 8.36 to 8.75 JDI
*JDI=Job Descriptive Index
Months of Employment
Central Tendency: Mean= 136.24 Months
Dispersion: Standard Deviation= 117.26 Months
Number: 139
Min/Max: 1 to 359 Months
Confidence Interval: 116.74 to 155.73 Months
Descriptive Statistics Interpretation
Interpretation
Months of Employment
CHJ made a decision to choose 139 random employees. Their months of employment varied between a range of 1 and 359 days the employees 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...

...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...

...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...

...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...