Statistic assignment

                Week 3: Identifying Significant Differences -   part 2                 Data   Input Table: Salary Range Groups                        Group name: A B C D E F   To   Ensure full credit for each question, you need to show how you got your   results. This involves either showing   where the data you used is located           List salaries within each grade         or   showing the excel formula in each cell.   Be sure to copy the   appropriate data columns from the data tab to the right for your use this   week.                                                 1 A good pay program will   have different average salaries by grade. Is this the case for our company?                        a What is the data input   ranged used for this question:     Use Cell K08 for the   Excel test outcome location.                Note: assume equal   variances for each grade, even though this may not be accurate, for purposes   of this question.                       b. Step 1: Ho:                              Ha:                             Step 2: Significance (Alpha):                            Step 3: Test Statistic and test:                             Why this test?                             Step 4: Decision rule:                             Step 5: Conduct the test - place   test function in cell K08                                                        Step 6: Conclusion and   Interpretation                              What is the p-value:                              What is your decision: REJ or NOT reject the null?                              Why?                           What is your conclusion about the means in the population for   grade salaries?                                                                                                                                                                                                           2 If the null hypothesis in   question 1 was rejected, which pairs of means differ?                         (Use the values from the   ANOVA table to complete the follow table.)                          Groups Compared Mean Diff. T value used +/- Term  Low to  High Difference Significant? Why?                     A-B                              A-C                              A-D                              A-E                              A-F                                                            B-C                              B-D                              B-E                              B-E                                                            C-D                              C-E                              C-F                                                            D-E                              D-F                                                            E-F                                                           3 One issue in salary is   the grade an employee is in - higher grades have higher salaries.                         This suggests that one   question to ask is if males and females are distributed in a similar pattern across the salary grades?                      a What is the data input   ranged used for this question:     Use Cell K54 for the   Excel test outcome location.                                              b. Step 1: Ho:                              Ha:                             Step 2: Significance (Alpha):                            Step 3: Test Statistic and test:       Place the actual   distribution in the table below.                 Why this test?         A B C D E F               Step 4: Decision rule:        Male                           Step 5: Conduct the test - place   test function in cell K54     Female                                                         Step 6: Conclusion and   Interpretation       Place the expected   distribution in the table below.                  What is the p-value:        A B C D E F                 What is your decision: REJ or NOT reject the null?       Male                             Why?       Female                          What is your conclusion about the means in the population for   male and female salaries?                                                                                                                                                                                                                                         4 What implications do this   week's analysis have for our equal pay question?                                                                                                                   Why - what statistical   results support this conclusion?