BUS 308 Week 1 Problem Set
This Tutorial was purchased 3 times & rated A by student like you.
This Tutorial contains following Attachments
 BUS 308 lst Week 1 Problem Set.xlsx
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..
2. The first step in analyzing data sets is to find some summary descriptive statistics for key variables. For salary, compa, age, Performance Rating, and Service; find the mean and standard deviation for 3 groups: overall sample, Females, and Males. You can use either the Data Analysis Descriptive Statistics tool or the Fx =average and =stdev functions. Note: Place data to the right, if you use Descriptive statistics, place that to the right as well:
3. What is the probability for a:
a. Randomly selected person being a male in grade E?
b. Randomly selected male being in grade E?
c. Why are the results different?
4. For each group (overall, females, and males) find::
a. The value that cuts off the top 1/3 salary in each group.
b. The z score for each value.
c. The normal curve probability of exceeding this score.
d. What is the empirical probability of being at or exceeding this salary value?
e. The score that cuts off the top 1/3 compa in each group.
f. The z score for each value.
g. The normal curve probability of exceeding this score.
h. What is the empirical probability of being at or exceeding this salary value?
i. How do you interpret the relationship between the data sets? What do they mean about our equal pay for equal work question?
5. Equal Pay Conclusions:
a. What conclusions can you make about the issue of male and male pay equality? Are all of the results consistent?
b. What is the difference between the salary and compa measures of pay?
c. Conclusions from looking at salary results:
d. Conclusions from looking at compa results:
e. Do both salary measures show the same results?
f. Can we make any conclusions about equal pay for equal work yet?
Write a review
Order IdOrder Id will be kept Confidential
Your Name:
Your Review:
Rating: A B C D F
Enter the code in the box below:
This Tutorial was purchased 3 times & rated A+ by student like you.
ASSIGNMENT WEEK 5
1. Create a correlation table for the variables in our (Use analysis ToolPak or StatPlus:mac LE function Correlation).
a. Reviewing the data..

This Tutorial was purchased 16 times & rated A by student like you.
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 minim..

This Tutorial was purchased 6 times & rated A by student like you.
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.
..

This Tutorial was purchased 8 times & rated A+ by student like you.
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 secon..

This Tutorial was purchased 13 times & rated A+ by student like you.
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 ..

This Tutorial was purchased 2 times & rated A by student like you.
BUS 308 Week 2 Quiz
Question 1. To find the zscore 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 ..

This Tutorial was purchased 9 times & rated A+ by student like you.
Before starting this assignment, make sure the the assignment data from the 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 ..

This Tutorial was purchased 4 times & rated A+ by student like you.
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 probabil..

This Tutorial was purchased 9 times & rated A by student like you.
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 Wee..

This Tutorial was purchased 3 times & rated A+ by student like you.
BUS 308 Week 3 Quiz
Question 1. A single factor ANOVA output includes information on
Question 2. ANOVA tests for variance differences
Question 3. Excel’s single factor ANOVA does not have a related Effect Size measure associated with it.
Qu..

This Tutorial was purchased 4 times & rated A by student like you.
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. ..

This Tutorial was purchased 4 times & rated A by student like you.
What are common mistakes in linear regression analysis?
..

This Tutorial was purchased 7 times & rated A+ by student like you.
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..

This Tutorial was purchased 3 times & rated A+ by student like you.
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.
..

This Tutorial was purchased 6 times & rated A+ by student like you.
Part One – Correlation
Read Lecture Ten. Lecture Ten introduces the idea that different variables may move together—sometimes 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 ..

This Tutorial was purchased 1 times & rated A+ by student like you.
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.
..

This Tutorial was purchased 5 times & rated A+ by student like you.
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 master—or at least understa..

This Tutorial was purchased 3 times & rated A by student like you.
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
..

This Tutorial was purchased 2 times & rated A by student like you.
DQ #1: Hypothesis Testing / Ttests / Ftest
Although the initial post is due on Day 5, you are encouraged to start working on it early, as it is a threepart discussion that should be completed in sequential order.
Part One – Hypothesis Testing
Read Lecture Four. Lecture Four starts ..

This Tutorial was purchased 2 times & rated A+ by student like you.
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.
..

This Tutorial was purchased 8 times & rated A+ by student like you.
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 researc..
