Question

# Are all disciplines in the University equally boring or there are some more boring than others?  To...

Are all disciplines in the University equally boring or there are some more boring than others?  To answer that question, a study performed at Columbia University counted the number of times per 5-minute interval when professors from three different departments said “uh” or “ah” during lectures to fill gaps between words.  These counts were used as a proxy (approximation) for the measure of class boredom.  The data from observing one hundred of 5-minute intervals from each of three departments’ professors were recorded in the file below.

- How many populations do we compare?

- What date type is collected?

- What experimental design of the analysis should be applied (independent samples, matched pairs, blocks)?

- What type of test should be applied? Check and report the required conditions for the test if necessary.

- Formulate null/alternative hypotheses H0/H1 that need to be tested with these data to find if the departments offer equally boring classes or not.

- Run the test. Report the p-value(s).  Use 5% significance level.

- Is there sufficient evidence in the samples collected to conclude that some departments offer more boring lectures than the others?

 English Math Political Science 14 19 14 13 9 5 11 12 4 18 14 18 6 9 17 14 12 16 15 20 12 10 12 9 7 13 13 14 11 20 2 13 22 10 14 16 8 7 10 17 20 16 12 11 17 10 14 16 7 9 9 11 15 5 15 15 9 13 13 14 7 15 6 8 18 14 15 11 16 13 13 11 15 15 19 13 16 10 12 12 17 16 4 6 12 16 12 12 14 17 10 17 17 6 19 8 10 9 11 6 14 5 17 14 10 16 17 15 8 10 12 10 11 15 7 8 11 5 12 9 15 14 14 10 12 14 11 12 7 11 14 16 12 13 18 9 15 11 19 12 16 14 9 12 13 11 12 13 9 15 11 14 16 16 10 14 12 15 14 15 13 20 11 14 17 16 7 18 11 13 16 14 12 19 12 8 13 10 11 13 11 11 22 14 14 8 10 14 13 11 10 21 11 11 13 12 14 12 13 11 21 9 14 8 12 7 10 10 8 15 11 14 8 11 13 17 8 10 14 11 17 10 9 12 16 9 14 14 5 7 14 19 9 15 13 11 12 13 15 12 14 13 17 9 16 21 13 9 16 9 16 18 9 10 11 10 11 13 15 19 11 8 10 14 15 15 19 8 11 17 18 11 13 7 11 12 12 16 10 12 12 13 13 12 13 3 11 15 20 15 9 10 12 14 13 6 10 7 9 6

Que.1

We compare 3 populations.

Que.2

Data type is numerical (discrete) .They count the word "uh" and "ah"

Que.3

Experimental design = Block

Que.4

We use one way ANOVA test.

Assumption:

1. Each sample coming from normal population.

2. Samples are independent of each other.

3. Variance of the different samples (block ) should be same.

Que.5

Hypothesis:

Que.6

I used Excel for calculation purpose.

Step.1 Enter data in excel sheet.

Step.2 Go to 'Data' menu ---> 'Data Analysis' ---> Select 'ANOVA : Single Factor'.

Step.3 New window pop-up on screen. Provide input and output range.

Excel output:

 Anova: Single Factor SUMMARY Groups Count Sum Average Variance English 100 1147 11.47 12.00919 Math 100 1246 12.46 9.766061 Political Science 100 1345 13.45 16.67424 ANOVA Source of Variation SS df MS F P-value F crit Between Groups 196.02 2 98.01 7.647175 0.000578 3.026153 Within Groups 3806.5 297 12.8165 Total 4002.52 299

Test statistic, F = 7.6771

P-value = 0.000578

Since p-value is less than 0.05, we reject null hypothesis at 5% level of significance and conclude that some department offer more boring lectures than others.

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