Gender | N | Mean | Std. Deviation | Std. Error | |
To What Extent Is A | Male | 33 | 3.03 | 1.045 | .182 |
Forecast Certification | Female | 69 | 2.62 | .859 | .103 |
Helpful to a Job Applicant |
F | Sig | t | df | Sig (2 tailed) | |
Equal Variances Assumed | 2.026 | .158 | 2.084 | 100 | .040 |
Equal Variances not Assumed | 1.945 | 53.396 | .057 |
Can we say that men and women have different attitudes about whether having a certification is helpful to applicants for a job in forecasting? Write your null and alternative (research) hypotheses. Make a clear statistical decision and explain why you make this decision. Then write a one or two-sentence explanation of what the decision means (i.e. provide a conclusion).
Answer
Null hypothesis and alternate hypothesis are given below
Using the data output given above with 0.05 level of significance
(A) Assuming equal variances with 0.05 level of significance, there is a significant difference between men and women attitudes about whether having a certification is helpful to applicants for a job in forecasting because the p value is less than 0.05 level of significance. (p value is less than 0.05, rejecting the null hypothesis)
(B) Assuming unequal variances with 0.05 level of significance, there is no significant difference between men and women attitudes about whether having a certification is helpful to applicants for a job in forecasting because the p value is more than 0.05 level of significance. (p value is less than 0.05, failed to reject the null hypothesis)
Gender N Mean Std. Deviation Std. Error To What Extent Is A Male 33 3.03 1.045...