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Week8Assignment-AnExamplePleaseReview.doc

Week 8 Assignment – An Example

Three sororities took a random sample of five sisters regarding their grade points for the past term and the results are shown below.

Sorority A

Sorority B

Sorority C

2.17

2.63

2.63

1.85

1.77

3.78

2.83

3.25

4

1.69

1.86

2.55

3.33

2.21

2.45

In Excel, carry out an ANOVA to determine whether there is evidence to support the claim that the mean grade point was not the same between the three sororities. Test at the 0.05 level and at the 0.01 level.

Setup the null and alternative hypotheses.

Null Hypothesis: Ho: There is no difference in mean grade point between the three sororities.

Alternative Hypothesis: There is difference in mean grade point between the three sororities.

Level of Significance: 0.05 and 0.01 (given)

Open an Excel spreadsheet and enter data as shown below:

image1.png

From the menubar, choose “Data Analysis”, and select Anova: Single Factor

image2.png

Click OK.

Define the input range, choose Grouped By “Columns”, Check the box “Labels in the first row” and define the output range where you want the output created.

Click OK again to get the output below:

Anova: Single Factor

SUMMARY

Groups

Count

Sum

Average

Variance

Sorority A

5

11.87

2.374

0.47648

Sorority B

5

11.72

2.344

0.37108

Sorority C

5

15.41

3.082

0.55417

ANOVA

Source of Variation

SS

df

MS

F

P-value

F crit

Between Groups

1.74468

2

0.87234

1.866993

0.196814

3.885294

Within Groups

5.60692

12

0.467243

Total

7.3516

14

Now compare the p-value in the output above (highlighted in yellow) with levels of significance.

If p-value is less that the selected level of significance, reject the null hypothesis; Otherwise, there is no evidence to reject the null hypothesis.

In this example, we can see that p-value is greater than both levels of significance and therefore there is no evidence to reject the null hypothesis.

We can conclude there is no significant difference in the mean grade point between the three sororities.