[Steps Shown] A study was run on the impact of risk reduction behavior and number of sex partners, results below. Develop the null and alternative hypotheses
Question: A study was run on the impact of risk reduction behavior and number of sex partners, results below. Develop the null and alternative hypotheses for this study. Test the relationship between behavior and number of partners using chi-square analysis. Based on your analysis will you accept or reject the null hypothesis at a 95% confidence level? Explain the significance of this finding for targeting high risk groups and initiating risk reduction interventions.
Risk reduction status
| No. of partners/month | None | Not maintained | Maintained |
| None | 20 | 17 | 43 |
| One | 37 | 45 | 95 |
| More than one | 20 | 54 | 67 |
H0: Number of partners per month and Risk Reduction Status are independent
Ha: Number of partners per month and Risk Reduction Status are NOT independent
Probability: __ 0.029333 ___
Chi-square: __ 10.765 ___
Critical Value: __ 9.488 ___
Significance: The sample data provides enough evidence to claim that Number of partners per month and Risk Reduction Status are related
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