BUS 308 Statistics for Managers Complete Week 1 to 5
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<strong>BUS</strong> <strong>308</strong> <strong>Statistics</strong> <strong>for</strong> <strong>Managers</strong> <strong>Complete</strong><br />
<strong>Week</strong> 1 <strong>to</strong> 5<br />
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<strong>BUS</strong> <strong>308</strong> <strong>Statistics</strong> <strong>for</strong> <strong>Managers</strong>, New Syllabus<br />
WEEK 1
Assignment Problem Set<br />
1. Using the Excel Analysis ToolPak function descriptive statistics, generate descriptive statistics <strong>for</strong> the<br />
salary data. Which variables does this function not work properly <strong>for</strong>, even though we have some excel<br />
generated results?<br />
2. Sort the data by Gen or Gen 1 (in<strong>to</strong> males and females) and find the mean and standard deviation <strong>for</strong><br />
each gender <strong>for</strong> the following variables: Use the descriptive stats function <strong>for</strong> one gender and the Fx<br />
functions (average and stdev) <strong>for</strong> the other.<br />
3a.Randomly selected person being a male in a specific grade?<br />
3b.Randomly selected person being in a specific grade?<br />
4a. The z score <strong>for</strong> each male salary, based on the male salary distribution.<br />
4b. The z score <strong>for</strong> each female salary, based on only the female salaries.<br />
5a. The z score <strong>for</strong> each male compa, based on only the male compa.<br />
5b.The z score <strong>for</strong> each female salary, based on the female salary distribution.<br />
6. What conclusions can you make about the issue of male and female pay equality? Are all of the<br />
results consistent? If not, why not?<br />
Discussion 1: Language
Discussion 2: Levels<br />
Quiz (03 Sets)<br />
WEEK 2<br />
Assignment Problem Set<br />
1. Is either that male or female salary equal <strong>to</strong> the overall mean salary? (Two hypotheses, one-sample<br />
tests needed.)<br />
2. Are male and female average salaries statistically equal <strong>to</strong> each other?<br />
3. Are the male and female compa average measures equal <strong>to</strong> each other?<br />
4. If the salary and compa mean tests in questions 2 and 3 provide different equality results, which<br />
would be more appropriate <strong>to</strong> use in answering the question about salary equity? Why?<br />
5. What other in<strong>for</strong>mation would you like <strong>to</strong> know <strong>to</strong> answer the question about salary equity between<br />
the genders? Why?<br />
Discussion 1: t-Test<br />
Discussion 2:<br />
Variation
Quiz (03 Sets)<br />
WEEK 3<br />
Assignment Problem Set<br />
1. Is the average salary the same <strong>for</strong> each of the grade levels? (Assume equal variance, and use the<br />
analysis <strong>to</strong>olpak function ANOVA.) Set up the input table/range <strong>to</strong> use as follows: Put all of the<br />
salary values <strong>for</strong> each grade under the appropriate grade label.<br />
2. The fac<strong>to</strong>rial ANOVA with only 2 variables can be done with the Analysis ToolPak function 2-Way<br />
ANOVA with replication. Set up a data input table like the following:<br />
3. Repeat question 2 <strong>for</strong> the compa values.<br />
4. Pick any other variable you are interested in and do a simple 2-way ANOVA without replication.<br />
Why did you pick this variable and what do the results show?<br />
5. What are your conclusions about salary equity now?<br />
Discussion 1: ANOVA Testing<br />
Discussion 2: Effect Size<br />
Quiz (02 Sets)
<strong>BUS</strong> <strong>308</strong> WEEK 4<br />
Assignment Problem Set<br />
1. Is the probability of having a graduate degree independent of the grade the employee is in?<br />
2. Construct a 95% confidence interval on the mean service <strong>for</strong> each gender? Do they intersect?<br />
3. Are males and females distributed across grades in a similar pattern?<br />
4. Do 95% confidence intervals on the mean length of service <strong>for</strong> each gender intersect?<br />
5. How do you interpret these results in light of our equity question?<br />
Discussion 1:<br />
Confidence Intervals<br />
Discussion 2:<br />
Chi-Square Tests<br />
Quiz (03 Sets)<br />
WEEK 5
Final Paper: Identify an issue in your life (work place, home, social organization, etc.) where a statistical<br />
analysis could be used <strong>to</strong> help make a managerial decision. Develop a sampling plan, an appropriate set<br />
of hypotheses, and an inferential statistical procedure <strong>to</strong> test them. You do not need <strong>to</strong> collect any data<br />
on this issue, but you will discuss what a significant statistical test would mean and how you would<br />
relate this result <strong>to</strong> the real-world issue you identified. Your paper should be three <strong>to</strong> five pages in<br />
length (excluding the cover and reference pages). In addition <strong>to</strong> the text, utilize at least three sources <strong>to</strong><br />
support your points. No abstract is required. Use the following research plan <strong>for</strong>mat <strong>to</strong> structure the<br />
paper:<br />
Discussion 1: Correlation<br />
Discussion 2: Regression
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