Give me the correct answer

Source DF SS MS F-Stat P-value AttendChurch 3 136.05632 45.352105 1.4145498 0.245 Error 77 2468.7091 32.061157 Total 80 2604.7654 To check conditions for use of the ANOVA F-test which ratio is useful? 9.4/6.4 To check conditions for use of the ANOVA F-test, we need to examine histograms of the homework hours for how many of the samples? [ Select ] [ Select ] e met for use of the ANOVA F-test, which t? [Select ] Incorrect. You chose a ratio of two means. This is incorrect. One of the conditions for use the ANOVA F-test is that the standard deviation of homework hours are equal in the populations defined of church-going frequency. We do not estimate this with a ratio of two means. Answer 2: 2 Incorrect. If a sample has fewer than 30 individuals, we need to examine the distribution of the response variable in the sample. Our goal is to try to reassure ourselves that the response variable is normally distributed in the population. This will not hetANOVA table Source DF SS MS F-Stat P-value AttendChurch 3 136.05632 45.352105 14145498 0.245 Error 77 2468.7091 32.061157 Total 80 2604.7654 To check conditions for use of the ANOVA F-test which ratio is useful? 9.4/6.4 To check conditions for use of the ANOVA F-test, we need to examine histograms of the homework hours for how many of the samples? [ Select ] Assuming that the conditions are met for use of the ANOVA F-test, which conclusion does the data support? [ Select ] [ Select ] Answer 1: fail to reject the null hypothesis 9.4/6.4 reject the null hypothesis and accept the alternative hypothesis accept the null hypothesis Incorrect, You chose a ratio of two means. This is incorrect. One of the conditions for use the ANOVA F-test is that the standard deviation of homework hours are equal in the populations defined of church-going frequency. We do not estimate this with a ratio of two means. Answer 2: 2 Incorrect. If a sample has fewer than 30 individuals, we need to examine the distribution of the response variable in the sample. Our goal is to try to reassure ourselves that the response variable is normally distributed in the population. This will not be true if there is strong skew in the sample