5. An experiment was designed to sec if regular exercise can hclp lower blood pressure for patients with high blood pressure. A rescarcher wanted to test this thcory and told a groen of volunteers with high blood pressure that exercise may work better than any other treatment for high blood pressure. The researcher assigned participants to two groups. One group was enrolled in a physical fitncss program and the other group was prescribed a placcbo. At the end of the month, the blood pressure in the volunteers, on average, decreascd approximatcly the same from the blood pressure at the beginning of the month for both groups of participants. Which of the following is true about this experiment? Because the researcher is the one that picks the group of patients that exercisc, the paticnts are blinded to the treatment and the decrease in blood pressure is caused by the exercise routine or the mcdicinc. b. a. The fact that the average decrease was not significantly different for both groups may be due to the placcbo effect, so it may be true that exercise works better than any other treatment. Because the test results were not significantly different, there is rcason to believe that exercisc works better than any other treatment. The experiment is well-designed, but the researcher nceds to incrcase the time of the experiment to a whole ycar. c. d.

A pharmaceutical company is testing a new drug for reducing cholesterol levels. to approve the drug for the next round of testing, they need to show that this drug reduces mean total cholesterol level by at least 50 mg/dL. They initially plan a study that involves 50 subjects and a significance level of 0.05, but they discover that the power of the test against this effect size is only 0.24. what are two ways they can increase teh power of the test without changing effect size?

The effectiveness of surgery for weight loss reported here found that "The surgery was associated with significantly greater weight loss [than the control group who dieted] through 2 years (61.3 versus 11.2 pounds, P<0.001)." What test could have been used and how would it have been computed?

Here is the scenario for your Between Subjects Independent One Way ANOVA: Dr. Xena is interested in determine which type of therapy best helps persons with bipolar depression.  She gathers a random and representative sample of men and women ages 18-95 years of age who have a diagnosis of Bipolar Depression who are taking Lithium for at least 6 months.  She randomly assigns participants to conditions and measures well being scores after 4 months of therapy.  Well being scores range from 0-100, with 100 being high well-being (feel good and experiencing no mood swings).  Here is the data: Cognitive Therapy                                        EMDR   Therapy                                   Psychoanalytical Therapy       15                                                                               72                                                                      28 78                                                                                91…

Fil 10. A small pilot study is conducted to investigate the effect of a nutritional supplement on total body weight. Six participants agree to take the nutritional supplement. To assess its effect on body weight, weights are measured before starting the supplementation and then after 6 weeks. The data are shown below. Is there a significant increase in body weight following supplementation? Run the test at a 5% level of significance. Demonstrate the five steps for hypothesis testing and explain your results. Subject İnitial Weight Weight after 6 Weeks 1 155 157 2 142 145 3 176 180 4 180 175 210 209 6. 125 126

An experiment to evaluate the effectiveness of the type of snack and children's perception of satiation was designed so that subjects aged 10 to 13 years were randomly assigned a snack that was of the exact same ingredients but described differently. The first group had their snack described as healthy and full of vitamins, the second group had their snack described as tasty, the third group were given a snack without any description whatsoever. Thirty minutes after finishing the snack, subjects were asked to rate their hunger on a scale of 1 to 10. The results are summarized in the table: ANOVA: Single Factor SUMMARY Groups Healthy Tasty No Description ANOVA Source of Variation Between Groups Within Groups Total Count 12 13. 14 SS 17.46154 62.89744 80.35897 Sum 62 46 56 Average 5.1667 3.5385 4.0000 Variance 1.9697 1.9359 1.3846 df MS F P-value 2 8.730769 4.997146 0.012156 36 1.747151 38 Based on these results, at a 5% level of significance what conclusion can the researchers draw from…

When only two treatments are involved, ANOVA and the Student’s t-test (Chapter 11) result in the same conclusions. Also, for computed test statistics, t2 = F. To demonstrate this relationship, use the following example. Fourteen randomly selected students enrolled in a history course were divided into two groups, one consisting of six students who took the course in the normal lecture format. The other group of eight students took the course in a distance format. At the end of the course, each group was examined with a 50-item test. The following is a list of the number correct for each of the two groups. Traditional Lecture Distance 36 45 31 35 40 45 34 35 33 45 38 36   43   41   a-1. Complete the ANOVA table. (Round your SS, MS, and F values to 2 decimal places and p-value, F crit to 4 decimal places.)     Source of Variation SS df MS F p-value F crit Treatment 96.01 1 96.01 5.67 0.0350   Error 203.21 12 16.93       Total 299.21 13…