Title: BUS 308 Academic Achievementuophelp
1 BUS 308 new Academic Achievement/uophelp
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- BUS 308 Week 1 DQ 1 Data Scales
- BUS 308 Entire Course (New)
- Week 1
- Data Scales.
- A marketing agency is interested in the buying
habits of those who shop online versus those who
shop in person. In your discussion post, address
each of the following and explain your reasoning
as to why you picked the specific scale
- BUS 308 Week 1 DQ 1 Data ScalesBUS 308 Week 1 DQ
2 ProbabilityBUS 308 Week 1 QuizBUS 308 Week 1
Problem Set Week OneBUS 308 Week 2 JournalBUS
308 Week 2 DQ 1 t-TestsBUS 308 Week 2 DQ 2 ANOVA
TestingBUS 308 Week 2 QuizBUS 308 Week 2
Problem SetBUS 308 Week 3 DQ 1 Interval DataBUS
308 Week 3 DQ 2 CorrelationBUS 308 Week 3
Assignment Evaluation
3 BUS 308 new Academic Achievement/uophelp
- BUS 308 Week 1 Problem Set Week One
- BUS 308 Week 1 DQ 2 Probability
- Problem Set Week One.
- Problem 1
- The performances of a group of interns are
evaluated by their supervisors at the end of
their internships. - Their scores are 55, 47, 62, 27, 50, 49, 66, 53,
50, 44, 63, 59. - Complete the calculations below using this
data. Show all of your work and clearly label
each of your calculations.
- Probability.
- The manager of a sandwich shop gathers data on
what people spend on lunch on a particular day of
the week. - The results are 4.20, 4.22, 2.35, 4.32,
5.25, 6.48, 6.78, 8.59, 6.95, 5.52, 6.83,
7.35, 4.36, 9.39, 6.42. - To the degree that this represents the population
of all those who eat lunch at sandwich shops,
what percentage of customers spend
4 BUS 308 new Academic Achievement/uophelp
- Tests.
- Imagine a shift manager at a manufacturing plant
is gathering data on the number of units workers
assemble during two different shifts over 10
different days. If the number of units assembled
by each shift varies greatly from day to day,
what impact will that have on the likelihood of a
significant difference between the two shifts?
Explain and support your response.
- 1. Question Data on the city from which members
of a board of directors come represent interval
data. - 2. Question Inferential statistics infer the
characteristics of samples. - 3. Question The mode is which of the
following? - 4. Question The standard error of the mean can
be calculated by dividing µ by the square root of
the number of values in the distribution.
5 BUS 308 new Academic Achievement/uophelp
- BUS 308 Week 2 DQ 2 ANOVA Testing
- ANOVA Testing.
- The manager of an agency providing temporary
employees to city offices is analyzing the number
of days temporary hires typically work in various
types of industries. - The data are as follows
- Legal clerical 2, 1, 4, 4, 2, 5, 6
- Accounting firms 3, 6, 4, 5, 5, 7, 8
- Insurance 5, 4, 7, 9, 9, 8, 11
6 BUS 308 new Academic Achievement/uophelp
- BUS 308 Week 2 Problem Set
- 1. Question How is the sum of squares unlike
either the standard deviation or the variance? - 2. Question If sums of squares statistics are
calculated for shoppers at three different retail
outlets, what statistic will indicate the
variability among those at each outlet? - 3. Question Which is the symbol used for the
test statistic in ANOVA?
- Problem Set Week Two.
- Problem One
- Suppose that an automotive parts and accessories
chain is experimenting with a new sales
promotion. Two similar stores are selected for
the experiment. For Store 1, nothing changes.
This store constitutes the control group. For
Store 2, the treatment group, the promotion is
implemented.
7 BUS 308 new Academic Achievement/uophelp
- BUS 308 Week 3 DQ 1 Interval Data
- BUS 308 Week 3 Assignment Evaluation of
Correlations
- Interval Data.
- A courier service in a large city tracks the
number of deliveries they are asked to make by 10
clients both before and after offering a
progressive discount for repeat business. Their
goal is to assess the effects of the discount. - a. What is the most appropriate statistical test
in this situation? Why? - b. Are there significant differences in the
number of deliveries? - c. If the goal is to promote repeat business,
should the discount be continued?
- Evaluation of Correlations.
- Data are gathered regarding the length of tenure
top executives have at a major corporation and
whether those executives have been divorced. The
Human Resources department is evaluating this
data to drive decision-making in regard to their
hiring process. The data for eight executives is
as follows
8 BUS 308 new Academic Achievement/uophelp
- BUS 308 Week 4 DQ 1 Simple Regression Analysis
- BUS 308 Week 3 DQ 2 Correlation
- Simple Regression Analysis.
- Use the data in the chart to answer the questions
below. The data indicates the number of sick
days appliance installers take during a three
month period, and the number of complaints filed
by customers during the same interval. Use the
Analysis Toolpak in Excel to perform this simple
regression and answer the questions.
- Correlation.
- An employment agency gathers the following data
on its clients - a) Age
- b) Gender
- c) Educational level (no high school, high
school, associates, bachelors, masters) - d) Years of past experience
9 BUS 308 new Academic Achievement/uophelp
- BUS 308 Week 4 Problem Set
- BUS 308 Week 4 DQ 2 Multiple Regressions Analysis
- Problem Set Week Four.
- Problem One
- The manager of a catering company is using the
number of people in the party to predict the cost
of the drinks that are required for the event.
The following are the data for 12 recently
catered events
- Multiple Regression Analysis.
- Develop a multiple linear regression equation
that describes the relationship between tenure
and the other variables in the chart above. Use
the Analysis Toolpak located in Excel to perform
this multiple regression. - Do these two variables explain a reasonable
amount of the variation in the dependent variable?
10 BUS 308 new Academic Achievement/uophelp
- BUS 308 Week 5 DQ 1 Confidence Intervals
- Confidence Intervals.
- A hardware retailer has average sales of 64,235
with a standard deviation of 5,918 for a
12-month period. The mean monthly sales for all
retailers in the chain are 59,844. Is this
hardware retailers sales significantly different
from all retailers in the chain at ? Are they
significantly different at ? Calculate a .95
confidence interval for the data in problem.
- 1. Question With reference to problem 1, what
statistic determines the correlation of
experience with productivity, controlling for age
in experience? - 2. Question In a problem where interest rates
and growth of the economy are used to predict
consumer spending, which of the following will
increase prediction error? - 3. Question With reference to problem 3, how
is the regression constant or the a value
interpreted?
11 BUS 308 new Academic Achievement/uophelp
- BUS 308 Week 5 Final Paper
- BUS 308 Week 5 DQ 2 Correlation and Confidence
Intervals
- Writing the Final Paper
- Assignment Instructions
- A retail store has recently hired you as a
consultant to advise on economic conditions. One
important indicator that the retail store is
concerned about is the unemployment rate. The
retail store has found that an increase in the
unemployment rate will cause a lack of consumer
spending in their stores. Retail stores use the
unemployment rate to estimate how much inventory
to keep at their stores
- Correlation and Confidence Intervals.
- A car dealer is using the number of years
customers have owned their vehicles to predict
how long it will be before they elect to replace
them. The correlation between the two is (the
longer they have owned their present vehicles,
the more quickly they are expected to replace
them). The other relevant data are as follows for
32 customers
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