N1 32) Which assumption for a one-factor within-subjects analysis of variance is most likely to be32)violated?A) Each subject is tested under each level of the independent variable.B) The scores are normally distributed in the populations sampled.C) The contribution of the individual differences of a subject's scores remains the same over alltreatment conditions.D) The variances of scores are equal in the populations sampled.33) Practice effects and treatment carry-over effects refer toA) control proceduresC) between-subjects effects33)B) subject errorD) multiple treatment effectsGiven below are the analysis of variance resulevel in testing the null hypothesis that the different samples come from populations with the same mean.from a Minitab display. Assume that you want to usesignificance34)Source DF Ss34)MSF3 30 10.008 5011 80Factor1.60.264ErrorTotal6.25What can you conclude about the equality of the population means?A) Do not reject the null hypothesis since the p-value is greater than the significance level. Weconclude that the factor means are equal.B) Do not reject the null hypothesis since the p-value is greater than the significance level.There is not enough evidence to show that the factor means are unequal.C) Reject the null hypothesis since the p-value is greater than the significance level. Weconclude that at least two of the factor means differ.D) Reject the null hypothesis since the p-value is greater than the significance level. Weconclude that all of the factor means differ.E) No conclusion can be made.35)35)SourceF PDFMSFactor3 13.500 4.5005.170.011Error1613.925 0.870Total1927.425What can you conclude about the equality of the population means?A) Reject the null hypothesis since the p-value is less than the significance level. We concludethat at least two of the factor means differ.B) Do not reject the null hypothesis since the p-value is greater than the significance level. Weconclude that the factor means are equal.C) Reject the null hypothesis since the p-value is less than the significance level. We concludethat all of the factor means differ.D) Do not reject the null hypothesis since the p-value is less than the significance level. There isnot enough evidence to show that the factor means are unequal.TRUEFALSE. Write T if the statement is true and 'F if the statement is false.36) The analysis of variance (ANOVA) tests hypotheses about the population variance.36)5

P-value = 0.011 Level of significance = 0.05 P-value < 0.05 we reject the null hypothesis.…

32) Which assumption for a one-factor within-subjects analysis of variance is most likely to be 32) violated? A) Each subject is tested under each level of the independent variable. B) The scores are normally distributed in the populations sampled. C) The contribution of the individual differences of a subject's scores remains the same over all treatment conditions. D) The variances of scores are equal in the populations sampled. 33) Practice effects and treatment carry-over effects refer to A) control procedures C) between-subjects effects 33) B) subject error D) multiple treatment effects Given below are the analysis of variance results from a Minitab display. Assume that you want to use a 0.05 significance level in testing the null hypothesis that the different samples come from populations with the same mean. 34) Source DE SS 34) MS