All five wwek solution

Week 1.

Describing the data.

Using the Excel Analysis ToolPak function descriptive statistics, generate and show the descriptive statistics for each appropriate variable in the sample data set.

a. For which variables in the data set does this function not work correctly for? Why?

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:

sal, compa, age, sr and raise.

Use either the descriptive stats function or the Fx functions (average and stdev).

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?

Find:

The z score for each male salary, based on only the male salaries.

The z score for each female salary, based on only the female salaries.

The z score for each female compa, based on only the female compa values.

The z score for each male compa, based on only the male compa values.

What do the distributions and spread suggest about male and female salaries?

Why might we want to use compa to measure salaries between males and females?

Based on this sample, what conclusions can you make about the issue of male and female pay equality?

Are all of the results consistent with your conclusion? If not, why not?

Week 2

Testing means with the t-test

<Note: use right click on row numbers to insert rows to perform analysis below any question>

For questions 2 and 3 below, be sure to list the null and alternate hypothesis statements. Use .05 for your significance level in making your decisions.

For full credit, you need to also show the statistical outcomes - either the Excel test result or the calculations you performed.

Below are 2 one-sample t-tests comparing male and female average salaries to the overall sample mean.

Based on our sample, how do you interpret the results and what do these results suggest about the population means for male and female salaries?

Males

Females

Ho: Mean salary = 45

Ha: Mean salary =/= 45

Note when performing a one sample test with ANOVA, the second variable (Ho) is listed as the same value for every corresponding value in the data set.

t-Test: Two-Sample Assuming Unequal Variances

Since the Ho variable has Var = 0, variances are unequal; this test defaults to 1 sample t in this situation

Male

Female

Week 3

Testing multiple means with ANOVA

<Note: use right click on row numbers to insert rows to perform analysis below any question>

For questions 3 and 4 below, be sure to list the null and alternate hypothesis statements. Use .05 for your significance level in making your decisions.

For full credit, you need to also show the statistical outcomes - either the Excel test result or the calculations you performed.

Based on the sample data, can the average(mean) salary in the population be 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.

Be sure to incllude the null and alternate hypothesis along with the statistical test and result.

Note: Assume equal variances for all grades.

equal_pay___student_rev_4_3_1.xlsx

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All five wwek solution

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Looking for honest and reliable help with the following (4) assignments in BUS 308 Statistics for Managers.

Help with statistics please!

Bus 308 Statistics for management

BUS308 week 1

BUS 308 Statistics For Managers

Week 5 BUS 308 assignment

Week 3 BUS 308 assignment

Week 4 Assignment BUS/308

Statistics