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For more course tutorials visit\nwww.tutorialrank.com\n\nASHFORD BUS 308 Week 1 Assignment Problems 1.2, 1.17, 3.3 & 3.22 (Old)\nASHFORD BUS 308 Week 1 DQ 1 Performance Report (Old)\nASHFORD BUS 308 Week 1 DQ 2 The Empirical Rule vs. Chebyshev Theorem (Old)\nASHFORD BUS 308 Week 1 Quiz (10 MCQ) (Old)\nASHFORD BUS 308 Week 2 Assignments Problems 4.4, 4.20, 5.12, 6.22(a) (Old)\nASHFORD BUS 308 Week 2 DQ 1 Relative Frequency (Old)\nASHFORD BUS 308 Week 2 DQ 2 Applications for Probability (Old)\nASHFORD BUS 308 Week 2 Quiz (10 MCQ) (Old)\nASHFORD BUS 308 Week 3 Assignments Problems 7.11, 7.30, 8.8, 8.38 (Old)

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BUS 308 Education on your terms-tutorialrank.com

BUS 308 Entire Course (New)

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ASHFORD BUS 308 Week 1 Assignment Problems 1.2, 1.17, 3.3 & 3.22 (Old)

ASHFORD BUS 308 Week 1 DQ 1 Performance Report (Old)

ASHFORD BUS 308 Week 1 DQ 2 The Empirical Rule vs. Chebyshev Theorem (Old)

ASHFORD BUS 308 Week 1 Quiz (10 MCQ) (Old)

ASHFORD BUS 308 Week 2 Assignments Problems 4.4, 4.20, 5.12, 6.22(a) (Old)

ASHFORD BUS 308 Week 2 DQ 1 Relative Frequency (Old)

ASHFORD BUS 308 Week 2 DQ 2 Applications for Probability (Old)

BUS 308 Education on your terms-tutorialrank.com

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?

BUS 308 Education on your terms-tutorialrank.com

BUS 308 Week 1 DQ 2

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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.

BUS 308 Education on your terms-tutorialrank.com

BUS 308 Week 1 Problem Set

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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 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..

BUS 308 Education on your terms-tutorialrank.com

BUS 308 Week 1 Quiz (2 Set)

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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 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?

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BUS 308 Week 2 DQ 1

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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? What examples can you suggest where this process might be appropriate in your personal or professional lives? (This should be started on Day 1.)

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BUS 308 Week 2 DQ 2

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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

BUS 308 Education on your terms-tutorialrank.com

BUS 308 Week 2 Problem Set

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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 copying the entire sheet to this file (Weekly Assignment Sheet or whatever you are calling your master assignment file).

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BUS 308 Week 2 Quiz (3 Set)

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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…

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BUS 308 Week 3 DQ 1

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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 understand—a number of statistical tests. Why can’t we just master a single statistical test—such as the t-test—and use it in situations calling for mean equality decisions? (This should be started on Day 1.)

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BUS 308 Week 3 DQ 2

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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.

BUS 308 Education on your terms-tutorialrank.com

BUS 308 Week 3 Problem Set (Anova)

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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 average compa-ratio is equal across 10K salary groups (20 – 29K. 30 – 39K, etc.). The second question asks us to identify which of the salary groups have different averages. The final question asks us to interpret the new information presented in the lecture and assignment; how does the new information we analyzed help us answer our equal pay for equal work question.

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BUS 308 Week 3 Quiz (3 Set)

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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.

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

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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 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). Discuss this correlation: What does it tell us? Does rum drinking cause church building? Does church building cause rum drinking? Or what else could it tell us? If this correlation shows a cause and effect relationship, what drives what? If not, why does it exist? What could this correlation be used for? (This should be started on Day 1.)

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BUS 308 Week 4 DQ 2

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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.

BUS 308 Education on your terms-tutorialrank.com

BUS 308 Week 4 Problem Set (Regression and Correlation)

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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 second question asks for a regression equation showing how the different variables impact the compa-ratio measure. The third questions asks you to discuss the benefits of using a regression equation approach over the single variable tests we have been doing.

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BUS 308 Week 4 Quiz (3 Set)

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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.

Question 3. A p-value of 9.22E-36 equals 0.00000000000000000000000000000000000922 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

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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 confidence intervals in making decisions? (This should be started on Day 1.)

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BUS 308 Week 5 DQ 2

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What are common mistakes in linear regression analysis?

BUS 308 Education on your terms-tutorialrank.com

BUS 308 Week 5 Final Paper Statistics Reflection (2 Papers)

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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 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 Quiz (3 Set)

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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. 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.

Question 5. For a one sample confidence interval, the interval is calculated around the estimated population or standard.