Title: BUS 308 HELPS Your Future Our Mission--bus308helps.com
1BUS 308 HELPS Your Future Our Mission--bus308helps
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2BUS 308 HELPS Your Future Our Mission--bus308helps
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BUS 308 Entire Course (New) FOR MORE CLASSES
VISIT www.bus308helps.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 BUS 308 Week 2 DQ 2
BUS 308 Week 3 DQ 1 BUS 308 Week 3 DQ 2 BUS
308 Week 4 DQ 1
3BUS 308 HELPS Your Future Our Mission--bus308helps
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BUS 308 Week 1 DQ 1 FOR MORE CLASSES
VISIT www.bus308helps.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 question In our BUS308
company, are the males and females paid equally
for equal work? Lecture One discusses different
ways data values can be classified.
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BUS 308 Week 1 DQ 2 FOR MORE CLASSES
VISIT www.bus308helps.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.bus308helps.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.bus308helps.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 Question 4. A probability is found
by dividing the number of possible outcome (0) by
the number of successes (e)P o/e. Question 5.
Which of the following measure central tendency
and includes data from every score? Question 6. A
parameter refers to a sample characteristic.
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BUS 308 Week 2 DQ 1 FOR MORE CLASSES
VISIT www.bus308helps.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 Read Lecture
Four. Lecture Four starts out with the five-step
procedure for hypothesis testing. What is this?
What does it do for us? Why do we need to follow
these steps in making a judgement about the
populations our samples came from? What are the
tricky parts of developing appropriate
hypotheses to test?
8BUS 308 HELPS Your Future Our Mission--bus308helps
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BUS 308 Week 2 DQ 2 FOR MORE CLASSES
VISIT www.bus308helps.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
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BUS 308 Week 2 Problem Set FOR MORE CLASSES
VISIT www.bus308helps.com Employee Salary Data
Set file is copied over to this Assignment file.
You can do this either by a copy and paste of all
the columns or by opening the data file, right
clicking on the Data tab, selecting Move or Copy,
and copying the entire sheet to this file (Weekly
Assignment Sheet or whatever you are calling your
master assignment file). It is highly recommended
that you copy the data columns (with labels) and
paste them to the right so that whatever you do
will not disrupt the original data values and
relationships.
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BUS 308 Week 2 Quiz (3 Set) FOR MORE CLASSES
VISIT www.bus308helps.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? Question 4.
Using the T-test Two-sample Assuming Equal
Variances test, the output can provide Question
5. To find the normal curve probability of
exceeding a specific z-score, which Excel
function could be used
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BUS 308 Week 3 DQ 1 FOR MORE CLASSES
VISIT www.bus308helps.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?
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BUS 308 Week 3 DQ 2 FOR MORE CLASSES
VISIT www.bus308helps.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 3 Problem Set (Anova) FOR MORE
CLASSES VISIT www.bus308helps.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. The first question asks us to
determine if the average compa-ratio is equal
across 10K salary groups
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BUS 308 Week 3 Quiz (3 Set) FOR MORE CLASSES
VISIT www.bus308helps.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. Question 5. The Two Factor
ANOVA with Replication primarily tests for
interactions between the variables. Question
6. The null hypothesis for the Single Factor
ANOVA states that all means are equal.
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BUS 308 Week 4 DQ 1 FOR MORE CLASSES
VISIT www.bus308helps.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.bus308helps.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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.com
BUS 308 Week 4 Problem Set (Regression and
Correlation) FOR MORE CLASSES
VISIT www.bus308helps.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. The
first question this week looks at correlations
and the creation of a correlation table for our
variables. The second question asks for a
regression equation showing how the different
variables impact the compa-ratio measure.
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BUS 308 Week 4 Quiz (3 Set) FOR MORE CLASSES
VISIT www.bus308helps.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. Question 3. A p-value of
9.22E-36 equals 0.00000000000000000000000000000000
000922 and is less than .05 Question 4. If two
variables are known to be correlated, it is
possible to predict the value of y (dependent
variable) from an x (independent) variable.
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BUS 308 Week 5 DQ 1 FOR MORE CLASSES
VISIT www.bus308helps.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.bus308helps.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.bus308help
s.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
22BUS 308 HELPS Your Future Our Mission--bus308helps
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BUS 308 Week 5 Problem Set FOR MORE CLASSES
VISIT www.bus308helps.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)? b. Place the table here. c.
Using r approximately .28 as the significant r
value (at p .05) for a correlation between 50
values, what variables are significantly related
to salary? To compa? d. Looking at the above
correlations
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BUS 308 Week 5 Quiz (3 Set) FOR MORE CLASSES
VISIT www.bus308helps.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.
Question 4. The Chi Square test can be performed
on categorical (nominal) level data.
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