Title: BUS 308 MENTOR Lessons in Excellence--bus308mentor.com
1BUS 308 MENTOR Lessons in Excellence--bus308mentor
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2BUS 308 MENTOR Lessons in Excellence--bus308mentor
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BUS 308 Entire Course (New) FOR MORE CLASSES
VISIT www.bus308mentor.com BUS 308 Week 2
Problem Set BUS 308 Week 3 Problem Set
(Anova) BUS 308 Week 4 Problem Set (Regression
and Correlation) BUS 308 Week 5 Final Paper
Statistics Reflection (2 Papers) BUS 308 Week 1
DQ 1 BUS 308 Week 1 DQ 2 BUS 308 Week 2 DQ 1
3BUS 308 MENTOR Lessons in Excellence--bus308mentor
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BUS 308 Week 1 DQ 1 FOR MORE CLASSES VISIT
www.bus308mentor.com Part Two Data
Characteristics Read Lecture One on descriptive
data and review the Employee Data . Be sure to
familiarize yourself with the different variables
shown on the Data tab. In this course, we will be
using the Employee Data and statistical tools to
answer a single research
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BUS 308 Week 1 DQ 2 FOR MORE CLASSES VISIT
www.bus308mentor.com DQ 2 Webliography Post
a question that you had related to the material
this week. Conduct research to provide the answer
to the question and provide the source.
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BUS 308 Week 1 Problem Set FOR MORE CLASSES VISIT
www.bus308mentor.com 1. For
assistance with these calculations, see the
Recommended Resources for Week One. Measurement
issues. Data, even numerically code variables,
can be one of 4 levels nominal, ordinal,
interval, or ratio. It is important to identify
which level a variable is, as this impacts the
kind of analysis we can do with the data. For
example, descriptive statistics such as means can
only be done on interval or ratio level data.
Please list, under each label, the variables in
our data set that belong in each group..
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BUS 308 Week 1 Quiz (2 Set) FOR MORE CLASSES
VISIT www.bus308mentor.com BUS 308 Week 1
Quiz Question 1. Calculating the median
requires data of at least what level ? Question
2. If sales data are reported in dollar values,
what is the scale of the data ? Question 3.
Empirical probability is
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BUS 308 Week 2 DQ 1 FOR MORE CLASSES VISIT
www.bus308mentor.com DQ 1 Hypothesis Testing
/ T-tests / F-test Although the initial post is
due on Day 5, you are encouraged to start working
on it early, as it is a three-part discussion
that should be completed in sequential
order. Part One Hypothesis Testing
8BUS 308 MENTOR Lessons in Excellence--bus308mentor
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BUS 308 Week 2 DQ 2 FOR MORE CLASSES VISIT
www.bus308mentor.com Post a question that you
had related to the material this week. Conduct
research to provide the answer to the question
and provide the source
9BUS 308 MENTOR Lessons in Excellence--bus308mentor
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BUS 308 Week 2 Problem Set FOR MORE CLASSES VISIT
www.bus308mentor.com Problem Set Week
Two Complete the problems below and submit your
work in an Excel document. Be sure to show all of
your work and clearly label all calculations. All
statistical calculations will use the
10BUS 308 MENTOR Lessons in Excellence--bus308mentor
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BUS 308 Week 2 Quiz (3 Set) FOR MORE CLASSES
VISIT www.bus308mentor.com BUS 308 Week 2
Quiz Question 1. To find the z-score of a value,
which Excel function could be used? Question 2.
Which statement is not true? Question 3. What is
the alternate hypothesis in a problem where sales
group two is predicted to be significantly less
productive than sales group one?
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BUS 308 Week 3 DQ 1 FOR MORE CLASSES VISIT
www.bus308mentor.com Part One Multiple
Testing Read Lecture Seven. The lectures from
last week and Lecture Seven discuss issues around
using a single test versus multiple uses of the
same tests to answer questions about mean
equality between groups. This suggests that we
need to masteror at least understanda number of
statistical tests. Why cant we just master a
single statistical testsuch as the t-testand
use it in situations calling for mean equality
decisions? (This should be started on Day 1.)
12BUS 308 MENTOR Lessons in Excellence--bus308mentor
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BUS 308 Week 3 DQ 2 FOR MORE CLASSES VISIT
www.bus308mentor.com DQ 2 Webliography Post
a question that you had related to the material
this week. Conduct research to provide the answer
to the question and provide the source.
13BUS 308 MENTOR Lessons in Excellence--bus308mentor
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BUS 308 Week 3 Problem Set (Anova) FOR MORE
CLASSES VISIT www.bus308mentor.com During this
week, we will look at ways of testing multiple
(more than two) data samples at the same time. We
will continue to use the data and assignment file
that we opened in Week 2, we just move on to the
Week 3 tab.
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BUS 308 Week 3 Quiz (3 Set) FOR MORE CLASSES
VISIT www.bus308mentor.com BUS 308 Week 3
Quiz Question 1. A single factor ANOVA output
includes information on Question 2. ANOVA tests
for variance differences Question 3. Excels
single factor ANOVA does not have a related
Effect Size measure associated with it. Question
4. The effect size measure for the single factor
ANVOA is called eta squared and equals the SS
Between/SS Total.
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BUS 308 Week 4 DQ 1 FOR MORE CLASSES VISIT
www.bus308mentor.com Part One
Correlation Read Lecture Ten. Lecture Ten
introduces the idea that different variables may
move togethersometimes due to causation and at
other times due to an unknown influence. An
example involves the perfect (1.0) correlation
between annual number of rum barrels imported
into the New England region of the U.S. between
the years 1790 and 1820 and the number of
churches built each of those years (citation
lost).
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BUS 308 Week 4 DQ 2 FOR MORE CLASSES VISIT
www.bus308mentor.com DQ 2 Webliography Post
a question that you had related to the material
this week. Conduct research to provide the answer
to the question and provide the source.
17BUS 308 MENTOR Lessons in Excellence--bus308mentor
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BUS 308 Week 4 Problem Set (Regression and
Correlation) FOR MORE CLASSES VISIT
www.bus308mentor.com Problem Set Week Four
This week we get to answer our equal pay for
equal work question by looking at relationships
between and among the different variables.
18BUS 308 MENTOR Lessons in Excellence--bus308mentor
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BUS 308 Week 4 Quiz (3 Set) FOR MORE CLASSES
VISIT www.bus308mentor.com BUS 308 Week 4
Quiz Question 1. The t Stat value is used to
determine the statistical significance of each of
the variables listed in a regression
analysis. Question 2. A correlation of .90 and
above is generally considered too strong to be of
any practical significance.
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BUS 308 Week 5 DQ 1 FOR MORE CLASSES VISIT
www.bus308mentor.com Part One Confidence
Intervals Read Lecture Thirteen. Lecture Thirteen
introduces you to confidence intervals. What is a
confidence interval, and why do some prefer them
to single point estimates? Ask your manager what
is preferred and why? What are the strengths and
weaknesses of using confidence intervals in
making decisions? (This should be started on Day
1.)
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BUS 308 Week 5 DQ 2 FOR MORE CLASSES VISIT
www.bus308mentor.com What are common mistakes
in linear regression analysis?
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BUS 308 Week 5 Final Paper Statistics Reflection
(2 Papers) FOR MORE CLASSES VISIT
www.bus308mentor.com This tutorial contains 2
Different Papers The final paper provides you
with an opportunity to integrate and reflect on
what you have learned during the class. The
question to address is What have you learned
about statistics? In developing your responses,
consider at a minimum and discuss the
application of each of the course elements in
analyzing and making decisions about data (counts
and/or measurements).
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BUS 308 Week 5 Problem Set FOR MORE CLASSES VISIT
www.bus308mentor.com ASSIGNMENT WEEK 5 1.
Create a correlation table for the
variables in our (Use analysis ToolPak or
StatPlusmac LE function Correlation). a.
Reviewing the data levels from week 1, what
variables can be used in a Pearsons Correlation
Table (which is what Excel produces)?
23BUS 308 MENTOR Lessons in Excellence--bus308mentor
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BUS 308 Week 5 Quiz (3 Set) FOR MORE CLASSES
VISIT www.bus308mentor.com BUS 308 Week 5
Quiz Question 1. Compared to the ANOVA test, Chi
Square procedures are not powerful (able to
detect small differences). Question 2. In
confidence intervals, the width of the interval
depends only on the variation within the data
set. Question 3. The percent confidence interval
is the range having the percent probability of
containing the actual population parameter.
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