Question: Hypothesis test for a difference between two population proportions 6125:2021 MyOpOnMIi'h _ is interested in whether women are just as likely to work. A random
Hypothesis test for a difference between two population proportions

6125:2021 MyOpOnMIi'h _ is interested in whether women are just as likely to work. A random sample of freshmen at Oxnard ed orientation. The results of the The director of student services at Oxnard College attend orientation as men before they begin their course College were asked what their gender is and whether they attend survey are shown below: Date for Gender vs. Orientation Attendance What can be concluded at the a - 0.10 level of significance? "'4 ' " v For this study, we should use @1999 an answer' WW a. The null and alternative hypotheses would be: Ho: (Select an_a'nWer '_| [Select anhanswer ' ||Select an answer VJ (please enter a decimal and note that p1 and pl represent the proportion and mean for women and p2 and p2 represent the proportion and mean for men.) H12 [SaigEtah_anW'er'i Spiel 'gswej [Eeleotgnmi-nsweg] (Please enter a decimal) b. The test statistic [2-5] = (please show your answer to 3 decimal places.) _ C- The p-value = (Please show your answer to 4 decimal places.) d. The p-value is ill} a #u _ e. Based on this, we should [Selectsniangwmei the null hypothesis. f. Thus, the final conclusion is that The results are statistically significant at a = 0.10, so there is sufficient evidence to conclude that the population proportion of freshmen women at Oxnard College who attend orientation is different from the population proportion of freshmen men at Oxnard College who attend orientation. The results are statistically insignificant at a = 0.10, so there is insufficient evidence to conclude that the population proportion of freshmen women at Oxnard College who attend orientation is different from the population proportion of freshmen men at Oxnard College who attend orientation. The results are statistically insignificant at a = 0.10, so there is statistically significant evidence to conclude that the population proportion of freshmen women at Oxnard College who attend orientation is the same as the population proportion of freshmen men at Oxnard College who attend orientation. The results are statistically significant at a = 0.10, so there is sufficient evidence to conclude that the proportion of the 618 freshmen women who attended orientation is different from the proportion of the 704 freshmen men who attended orientation
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