BUS 308 Week 1 DQ 1
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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. In our data set for the equal pay for equal work assignment, students in the past have correctly identify the variable gender (coded M and F for male and female respectively) as nominal level data, but they often see gender1 (coded 0 and 1 for male and female respectively) as interval or ratio level data. Why? What could cause this wrong classification? What data do you use in your personal or professional lives that might suffer from not being correctly labeled/understood?
Part Three –Descriptive Statistics
Read Lecture Two on describing data sets and view The Role of Data & Analytics Today video (https://www.youtube.com/watch?v=fxroi4beKhE). Lecture Two discusses several different ways of summarizing a data setcentral location, variability, etc. Often, business reports provide a mean or average value for some measure (such as average number of defects per production run). Why is the average alone not enough information to make informed judgements about the result? What other descriptive statistic should be included? Why? Can you illustrate this with an example from your personal or professional lives? (This should be started on Day 3.)
Part Four – Probability
Read Lecture Three on probability. Lecture Three introduces the idea of probability—a measure of how likely it is to get a particular outcome. Looking at outcomes as resulting from probabilities (somewhat random outcomes/selections) rather than fixed constants often changes the way we see things. How does considering the salary outcomes in our sample the result of a probabilistic sample rather than a completely accurate and precise reflection of the population change how we interpret the sample statistic outcomes? What results in your personal or professional lives could be viewed this way? What differences would this cause? Why?
Your responses should be separated in the initial post, addressing each part individually,
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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..

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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..

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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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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..

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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 ..

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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 ..

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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 ..

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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..

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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 ..

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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..

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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..

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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. ..

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What are common mistakes in linear regression analysis?
..

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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..

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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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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 ..

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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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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..

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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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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 ..

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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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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..
