Essay Bus 308 Statistics for Managers Complete Week 1 to 5

3521 Words Mar 25th, 2016 15 Pages
BUS 308 Statistics for Managers Complete Week 1 to 5

Purchase here

http://homeworkonestop.com/bus-308-statistics-for-managers-complete-week-1-to-5

Product Description

BUS 308 Statistics for Managers, New Syllabus

WEEK 1

Assignment Problem Set

1. Using the Excel Analysis ToolPak function descriptive statistics, generate descriptive statistics for the salary data. Which variables does this function not work properly for, even though we have some excel generated results?

2. Sort the data by Gen or Gen 1 (into males and females) and find the mean and standard deviation for each gender for the following variables: Use the descriptive stats function for one gender and the Fx functions (average and stdev) for the
…show more content…
Why?

Discussion 1: t-Test

Discussion 2: Variation

Quiz (03 Sets)

WEEK 3

Assignment Problem Set

1. Is the average salary the same for each of the grade levels? (Assume equal variance, and use the analysis toolpak function ANOVA.) Set up the input table/range to use as follows: Put all of the salary values for each grade under the appropriate grade label.

2. The factorial ANOVA with only 2 variables can be done with the Analysis ToolPak function 2-Way ANOVA with replication. Set up a data input table like the following:

3. Repeat question 2 for the compa values.

4. Pick any other variable you are interested in and do a simple 2-way ANOVA without replication. Why did you pick this variable and what do the results show?

5. What are your conclusions about salary equity now?

Discussion 1: ANOVA Testing

Discussion 2: Effect Size

Quiz (02 Sets)

BUS 308 WEEK 4

Assignment Problem Set

1. Is the probability of having a graduate degree independent of the grade the employee is in?

2. Construct a 95% confidence interval on the mean service for each gender? Do they intersect?

3. Are males and females distributed across grades in a similar pattern?

4. Do 95% confidence intervals on the mean length of service for each gender intersect?

5. How do you interpret these results in light of our equity question?

Discussion 1: Confidence Intervals

Discussion 2: Chi-Square Tests

Quiz (03 Sets)

Related Documents