(End of Ch Prob Ch 10 Q9&10) please answer all questions. For these two questions there will need to be a total of 5 answers supplied. For Q10 please ensure to go up to three places after the decimal for the numerical value you compute. Thanks!

Text Symbols 9. Gravetter/Wallnau/Forzano, Essentials - Chapter 10 - End-of-chapter question 18 If other factors are held constant, explain how each of the following influences the value of the independent-measures t statistic, the likelihood of rejecting the null hypothesis, and the magnitude of measures of effect size: An increase in the number of scores in each sample. The size of the two samples influences the magnitude of the estimated standard error in the denominator of the t statistic. As sample size increases, the value of t also increases, and the likelihood of rejecting He also increases; also, measures of effect size increase. The size of the two samples influences the magnitude of the estimated standard error in the denominator of the t statistic. As sample size increases, the value of t also decreases, and the likelihood of rejecting Ho also decreases; also, measures of effect size decrease. The size of the two samples influences the magnitude of the estimated standard error in the denominator of the t statistic. As sample size increases, the value of t also increases, and the likelihood of rejecting Ho also increases; however, there is little or no effect on measures of effect size. The size of the two samples influences the magnitude of the estimated standard error in the numerator of the t statistic. As sample size increases, the value of t also increases, and the likelihood of rejecting Ho also increases; also, measures of effect size increase. An increase in the vanance for each sample. The variability of the scores influences the estimated standard error in the denominator. As the variability of the scores increases, the value of t decreases, and the likelihood of rejecting He decreases; also, measures of effect size decrease. The variability of the scores influences the estimated standard error in the numerator. As the variability of the scores increases, the value of t decreases, and the likelihood of rejecting Ho decreases; however, there is little or no effect on measures of effect size. O The variability of the scores influences the estimated standard error in the denominator. As the variability of the scores decreases, the value of t decreases, and the likelihood of rejecting Ho increases; also, measures of effect size increase. The variability of the scores influences the estimated standard error in the denominator. As the variability of the scores increases, the value of t decreases, and the likelihood of rejecting He decreases; also, measures of effect size increase. 10. Gravetter/Wallnau/Forzano, Essentials - Chapter 10 - End-of-chapter question 21 For each of the following, assume that the two samples are obtained from populations with the same mean, and calculate how much difference should be expected, on average, between the two sample means. Each sample has n - 7 scores with s3 - 142 for the first sample and s# - 110 for the second. (Note: Because the two samples are the same size, the pooled variance is equal to the average of the two sample variances.) Each sample has n = 28 scores with sa - 142 for the first sample and sa - 110 for the second. In the second part of this question, the two samples are bigger than in the first part, but the vanances are unchanged. How does the sample size affect the size of the standard error for the sample mean difference? As sample size increases, standard error decreases, As sample size increases, standard error increases. As sample size increases, standard error remains the same