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BUS 308 Week 1 DQ 1 Data Scales
BUS 308Entire Course
BUS 308 Week 1 DQ 1 Data Scales BUS 308 Week 1 DQ
2 Probability BUS 308 Week 1 Quiz BUS 308 Week 1
Problem Set Week One BUS 308 Week 2 Journal BUS
308 Week 2 DQ 1 t-Tests BUS 308 Week 2 DQ 2 ANOVA
Testing BUS 308 Week 2 Quiz BUS 308 Week 2
Problem Set
Week 1 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
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BUS 308 Week 1 Problem Set Week One
BUS 308 Week 1 DQ 2 Probability
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.
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.
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BUS 308 Week 2 DQ 1 t-Tests
BUS 308 Week 1 Quiz
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?
t-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.
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BUS 308 Week 2 Journal
BUS 308 Week 2 DQ 2 ANOVA Testing
BUS 308 Week 2 Journal
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.
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BUS 308 Week 2 Quiz
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?
Problem Set Week Two. 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
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BUS 308 Week 3 Assignment Evaluation of
Correlations
BUS 308 Week 2 Quiz
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
follow
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? 1. Question How is the
sum of squares unlike either the standard
deviation or the variance?
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BUS 308 Week 3 DQ 2 Correlation
BUS 308 Week 3 DQ 1 Interval Data
Correlation An employment agency gathers the
following data on its clients b) Gender a) Age
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.
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BUS 308 Week 4 DQ 2 Multiple Regressions Analysis
BUS 308 Week 4 DQ 1 Simple Regression Analysis
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.
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
Toolbar located in Excel to perform this multiple
regression.
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BUS 308 Week 4 Quiz
BUS 308 Week 4 Problem Set
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?
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
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BUS 308 Week 5 DQ 2 Correlation and Confidence
Intervals
BUS 308 Week 5 DQ 1 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 sale significantly different
from all retailers in the chain at? Are they
significantly different at? Calculate a .95
confidence interval for the data in problem.
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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BUS 308 Week 5 Final Paper
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
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