Data source: Chi-square excel data (given) The data contain more than 17000 observations of the Education level
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Question:
Data source: Chi-square excel data (given)
The data contain more than 17000 observations of the Education level (Postgraduate, Master, and Graduate ) level of the respondent and acceptance of the marketing campaign indicated using 0 and 1. The 0 = not interested while 1= interested to join the campaign. Using Chi-square analysis determine if there is a significant difference in their interest in relation to their educational level.
- Create case specific hypothesis based on the given information.
- Import the data to SAS
- Create crosstabulation and determine their chi-square results.
- In Excel, create a cross-tabulated table and conduct a chi-square analysis.
- Based on your results give a conclusion and write 1 to 3 sentences to discuss your findings.
Education | AcceptedCmpOverall | |
Post Graduate | 0 | |
Post Graduate | 0 | |
Masters | 1 | |
Post Graduate | 0 | |
Graduate | 0 | |
Graduate | 0 | |
Graduate | 1 | |
Graduate | 1 | |
Graduate | 0 | |
Graduate | 0 | |
Graduate | 0 | |
Graduate | 0 | |
Graduate | 0 | |
Masters | 0 | |
Masters | 0 | |
Graduate | 1 | |
Post Graduate | 0 | |
Graduate | 0 | |
Graduate | 0 | |
Masters | 0 | |
Graduate | 0 | |
Masters | 0 | |
Graduate | 1 | |
Graduate | 0 | |
Post Graduate | 0 | |
Graduate | 0 | |
Masters | 1 | |
Graduate | 0 |
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