The following data are from a repeatedmeasures study examin.pdf

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This document summarizes the results of a repeated-measures study that examined the effect of a treatment on a group of 9 participants by measuring them before and after receiving the treatment. It calculates difference scores, mean difference, sum of squares, sample variance, standard error, and t-statistic to test whether there is a significant difference between the measurements before and after treatment using a two-tailed t-test at an alpha level of 0.05. Based on the t-critical and t values, it determines whether to reject or fail to reject the null hypothesis that the treatment does not have a significant effect.

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The following data are from a repeated-measures study examining the effect of a treatment by
measuring a group of n = 9 participants before and after they receive the treatment. Calculate the
difference scores and MD . Participant Before Treatment After Treatment D D A 82 89 D
(ANSWES a-I) D2(answers a-I) B 64 67 C 76 79 D 6 8 E 38 40 F 150 147 G 10 14 H 4 11 I 16 18
D = D = MD = Compute SS, sample variance, and estimated standard error. SS = s = sMD =
Using a two-tailed test with = .05, is there a significant difference between the two treatments? t-
critical = t = The results indicate: Failure to reject the null hypothesis; the treatment does not have
a significant effect Failure to reject the null hypothesis; the treatment does have a significant effect
Rejection of the null hypothesis; the treatment does not have a significant effect Rejection of the
null hypothesis; the treatment does have a significant effect

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Lab 7 Problem: A researcher uses a repeated-measures study to examine the effectiveness of a therapy procedure for treating depression. A sample of n = 8 depressed patients is obtained and each individual is given a depression test immediately before therapy, immediately after therapy, and once again 3 months after therapy. The data are to be examined with a repeated-measures ANOVA. Questions: 1) What does significantly different mean for this scenario? 2) What is the null hypothesis? 3) What is the alternative hypothesis? 4) What is our test statistic? a. Which variance is affected when the sample means get farther apart? How? b. Which variance is affected when scores within a group get farther apart from one another? How? c. What is our expected test-value under the assumed null? d. Is it a 1-tailed or 2-tailed test? Page 1 of 4 Lab 7 5) Data: Before Therapy After Therapy 3 Months Later Total n1=8 n2=8 n3=8 N = 24 T1=136.3 T2 = 134 T3 = 85.1 G = 355.4 SS1 = 25.54 SS2 = 30.14 SS3 = 17.90 k = 3 ΣX2 =2347.75 ΣX2 = 2274.64 ΣX2 = 923.15 ΣX2 =5545.54 M1 = 17.04 M2 = 16.75 M3 =10.64 6) Calculate SS’s: a. SSTOTAL = b. SSWITHIN = c. SSBETWEEN = 7) Compute dfs: a. dfTOTAL = b. dfWITHIN = c. dfBETWEEN = 8) Calculate MS and df necessary for repeated-measures steps: a. SSBETWEEN SUBJECTS (OR SSINDIVIDUAL DIFFERENCES) = b. SSERROR = c. dfBETWEEN SUBJECTS (OR dfINDIVIDUAL DIFFERENCES) = d. dfERROR = 9) Calculate MS’s: a. MSBETWEEN = b. MSERROR = 10) Calculate F-ratio: a. F = Page 2 of 4 Lab 7 11) What is our critical value? 12) What do we conclude? 13) What is the calculated effect size? 14) Compute post-hoc tests: a. Tukey HSD b. Scheffe i. Immediately Before vs. Immediately After Source SS df MS F Between Within B/S (ID) Error Total ii. Do we reject the null hypothesis? iii. Immediately Before vs. 3 months later Source SS df MS F Between Within B/S (ID) Error Total Page 3 of 4 Lab 7 iv. Do we reject the null hypothesis? v. Immediately After vs. 3 months later Source SS df MS F Between Within B/S Error Total vi. Do we reject the null hypothesis? Page 4 of 4 The stock price is shown on the AT&T's website. The market value of the stock and not the par value determines the cash proceeds from the sale of stock. The stock market price for preferred and common stock does not appear on the financial statements. The stock market price changes daily. The 52 week high and low for AT&T stock is $32.07 -$37.48. Sites such as Morningstar and Yahoo Finance provide daily updates regarding the market price per share of stock for publicly traded companies. Also, the daily stock quotes usually appe ...

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In the t test for independent groups, ____. we estimate µ1 µ2 we estimate 2 we estimate X1-X2 df = N  1 Exhibit 14-1 A professor of women's studies is interested in determining if stress affects the menstrual cycle. Ten women are randomly sampled for an experiment and randomly divided into two groups. One of the groups is subjected to high stress for two months while the other lives in a relatively stress-free environment. The professor measures the menstrual cycle (in days) of each woman during the second month. The following data are obtained. High stress 20 23 18 19 22 Relatively stress free 26 31 25 26 30 Refer to Exhibit 14-1. The obtained value of the appropriate statistic is ____. tobt = 4.73 tobt = 4.71 tobt = 3.05 tobt = 0.47 Refer to Exhibit 14-1. The df for determining tcrit are ____. 4 9 8 3 Refer to Exhibit 14-1. Using  = .052 tail, tcrit = ____. +2.162 +2.506 ±2.462 ±2.306 Refer to Exhibit 14-1. Using  = .052 tail, your conclusion is ____. accept H0; stress does not affect the menstrual cycle retain H0; we cannot conclude that stress affects the menstrual cycle retain H0; stress affects the menstrual cycle reject H0; stress affects the menstrual cycle Refer to Exhibit 14-1. Estimate the size of the effect. = ____ 0.8102 0.6810 0.4322 0.5776 A major advantage to using a two condition experiment (e.g. control and experimental groups) is ____. the test has more power the data are easier to analyze the experiment does not need to know population parameters the test has less power Which of the following tests analyzes the difference between the means of two independent samples? correlated t test t test for independent groups sign test test of variance If n1 = n2 and n is relatively large, then the t test is relatively robust against ____. violations of the assumptions of homogeneity of variance and normality violations of random samples traffic violations violations by the forces of evil Exhibit 14-3 Five students were tested before and after taking a class to improve their study habits. They were given articles to read which contained a known number of facts in each story. After the story each student listed as many facts as he/she could recall. The following data was recorded. Before 10 12 14 16 12 After 15 14 17 17 20 Refer to Exhibit 14-3. The obtained value of the appropriate statistic is ____. 3.92 3.06 4.12 2.58 Refer to Exhibit 14-3. What do you conclude using  = 0.052 tail? reject H0; the class appeared to improve study habits retain H0; the class had no effect on study habits retain H0; we cannot conclude that the class improved study habits accept H0; the class appeared to improve study habits Which of the following is (are) assumption(s) underlying the use of the F test? the raw score populations are normally distributed the variances of the raw score populations are the same the mean of the populations differ the raw score popul.

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