The following information is available for two samples drawn from independent normally distributed populations. Population A: n= 13 s2- 125.7 Population B: n= 13 s2 = 143.8 What is the value of FSTAT if you are testing the null hypothesis Ho: o? =03? IMPORTANT NOTE: In all of these questions, there are 2 possible ratios A/B and B/A! Our convention is to always assume that the larger variance is in the numerator (i.e., on top). The correct answer will always be found in this fashion. Similarly, im questions about a critical value, we shall consider the right (upper) tail. The value of FSTAT is. (Round to two decimal places as needed.)

1. What is the pooled variance for the following two samples? Sample 1: n - 8 and SS = 168 Sample 2: n = 6 and SS = 120     2. An independent-measures study comparing two treatment conditions produces a t statistic with df = 18. If the two samples are the same size, how many participants were in each of the samples?     3. Caroline and Mira are both really smart and do equally well in their psychology classes, but something happens to Caroline when she goes to their philosophy class. She just can't keep up, whereas Mira does even better. One of the independent variables is the student.   True or False

Just need B. These are old practice problems

You wish to test the following claim (��) at a significance level of �=0.002.      ��:�1=�2      ��:�1≠�2You believe both populations are normally distributed, but you do not know the standard deviations for either. However, you also have no reason to believe the variances of the two populations are not equal. You obtain the following two samples of data. Sample #1 Sample #2 50.2 77.2 87.1 65 64.2 58.4 78 60.5 72.6 53.1 51.2 75.6 64.2 93.6 68.6 63.8 71.9 74.9 74.5 54.6   59.2 61.8 90.1 73.6 55.4 62.6 68.6 71.6 67.9 87.3 51.9 85.2 81.3 76.3 54 59.6 59.6 88.6 50.8     What is the test statistic for this sample? (Report answer accurate to three decimal places.)test statistic = What is the p-value for this sample? For this calculation, use the degrees of freedom reported from the technology you are using. (Report answer accurate to four decimal places.)p-value =

In an analysis of variance where the total sample size for the experiment is nT and the number of populations is k, the mean square due to error is a. SSE/(nT-k) b. SSTR/(nT-k) c. SSE/(k-1) d. SSTR/k

Question 16: Please use the approporate stats table attached. Do not use a software for this problem.a. What was the observed difference between the mean PCV levels for the two groups? b.Assuming that the two groups have similar variances, estimate the standard error of the difference between the sample means c. Conduct an appropriate test to assess the difference between the two means. What do you conclude?

Which of the following factors have each of the advantages listed when using analysis of variance? Multiple answers can be chosen.   1. Makes ANOVA more robust to departures from the assumption of normality. 2. Makes ANOVA more robust to departures from the assumption of equal variance. 3. Increases the power of the test.   Options: Large sample size. Balanced design.

question 3