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# Anova test and analyze the data

Please view the attachment which more clearly defines my problem.

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Choose two sets of hypothesis using ANOVA you can simulate your own data (n=20) Sample size =288. Ho=u2=u3 where u means population. H1:u1#u2#u3. where u means population. I am trying to figure out how to do this problem. Test two sets of hypothesis, Then analyze the findings.

500 Responded/ Comparison between three surveys

Legend for Chart:
A-CareerWomen.com
B-DiversitySearch.com
C-MBACareers.com
WHAT INSPIRES EMPLOYEES
IN THE WORKPLACE?
A B C
Respect 94% 67% 64%
Service 74 44 22
Challenge 71 25 82
Money 66 25 82
Recognition 8 N/A 12
Source: The Career Exposure Network

Since here we are dealing with two variables, we have to test the hypothesis using two-way ANOVA. We have to consider the two variable effects on the job satisfaction.

Three Surveys:

1. Hypothesis: H0

There is no difference in level of job satisfaction between three surveys with respect to the given attributes.

Alternative Hypothesis: H1

There is difference in level of job satisfaction between three surveys with respect to the given attributes.

2. Inspiring Attributes:

Null Hypothesis H0

There is no difference in the level of job satisfaction between the Inspiring attributes with respect to three surveys.

Alternate Hypothesis: H1

There is difference in the level of job satisfaction between the Inspiring attributes with respect to the three surveys.

Interaction effect can be tested using the two-way analysis of variance.

Null Hypothesis: H0

Inspiring attributes does not depend on the surveys.

Alternative Hypothesis: H1

Inspiring attributes depend on the surveys.
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#### Solution Summary

Two sets of hypothesis using ANOVA which can simulate the population mean are analyzed. A null hypothesis is used.

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