During a weight loss study, each of 7 subjects was given a particular drug that is meant to decrease hunger levels, as well as a placebo. The hunger rating data are shown at right. For problems on this page, we are assuming pairing and normal distribution. With With Difference Person Drug | Placebo ( Y – Y2 ) 1 79 78 1 65 54 11 3 52 72 -20 (a) Construct a 90% CI for the difference in mean difference in change. 4 15 25 -10 61 101 -40 6. 107 99 7 77 114 -37 Mean 65.1 77.6 -12.4 SD 28.3 30.8 20.7 (b) For the CI you just found, approximately how large would the sample size have needed to be so that the margin of error ta/2 · SE, would have been < 10? (c) Compare the Drug and Placebo populations using a t-test at a = 0.10. Use a non-directional alternative. What do you conclude about Drug vs. Placebo: is there significant evidence that the drug changes hunger level? d) Using the work from (c), is there significant evidence that the drug decreases hunger level? (So this is now a directional test.)

During a weight loss study, each of 7 subjects was given a particular drug that is meant to decrease hunger levels, as well as a placebo. The hunger rating data are shown at right. For problems on this page, we are assuming pairing and normal distribution. With With Difference Person Drug | Placebo ( Y – Y2 ) 1 79 78 1 65 54 11 3 52 72 -20 (a) Construct a 90% CI for the difference in mean difference in change. 4 15 25 -10 61 101 -40 6. 107 99 7 77 114 -37 Mean 65.1 77.6 -12.4 SD 28.3 30.8 20.7 (b) For the CI you just found, approximately how large would the sample size have needed to be so that the margin of error ta/2 · SE, would have been < 10? (c) Compare the Drug and Placebo populations using a t-test at a = 0.10. Use a non-directional alternative. What do you conclude about Drug vs. Placebo: is there significant evidence that the drug changes hunger level? d) Using the work from (c), is there significant evidence that the drug decreases hunger level? (So this is now a directional test.)

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Suppose that the time in minutes it takes a student to complete an assignment is normally distributed with a mean 50 and variance 100 then the 85th percentile of the average time it takes a random sample of 25 students to complete the assignment is closest to a 48. • b. 52 • C. 40. • d. 60. • e. 71.
Eye Color Based on a study by Dr. R Sorita at Indiana University, assume that 12% of us have green eyes. In a study of 650 people, it is found that 86 of them have green eyes. a. Find the probability of at least 86 people with green eyes among 650 randomly selected people. b. Is 86 people with green eyes significantly high?
Help!!
Twenty samples of students from the first year were taken for the study related to fitness level in a university. The researcher has collected the data for a few variables: gender and fitness test score. Fitness Camp No Gender Fitness score Fitness score (Before Attend camp) (After Attend camp) 1 M 444 526 2 F 780 862 3 F 475 557 4 F 490 572 5 M 755 837 6. M 766 848 7 F 540 622 8 M 623 705 9. F 600 682 10 620 702 11 505 590 12 M 640 725 13 F 523 608 14 F 700 785 15 M 710 795 16 M 726 811 17 M 740 825 18 F 550 635 19 F 685 770 20 F 460 545 Range of Fitness Score: 0 to 900 1. Determine whether this set of data is sample or population? Why? Which formulae to be used when calculating the standard deviation of fitness score before and after camp 2. Calculate the standard deviation for fitness score before and after students attended the fitness camp for the whole samples using the formula in (1) 3. Based on the sample standard deviation in part (2), explain whether the fitness camp can…
Ost watched Ani... Question 2 Y Part 1 of 4 A doctor in Cleveland wants to know whether the average life span for heart disease patients at four hospitals in the city differ. The data below represents the life span, in years, of heart disease patients from each hospital. Perform an ANOVA test with a 9% level of significance to test whether the average life span of heart disease patients in Cleveland differs depending on the hospital that treats them Life Span of Patients Treated at Hospital 1: 7.4, 7.8, 7.7, 7.5, 8, 8.2, 7.8, 8.6, 8, 7.8, 8.3, 8.3, 8, 7.6, 8.2, 7.9, 7.3, 8, 8.6, 7.3, 8.3, 8, 7.8, 8, 7.8, 8.1, 8.1, 8, 7.6, 7.6, 7.7, 7.4, 7.7, 7.8, 7.8 Life Span of Patients Treated at Hospital 2: 7.9, 7.9, 8.2, 8, 8.1, 8.5, 8.3, 8.4, 8, 8.2, 7.7, 8, 8, 7.8, 7.9, 8.1, 8.1, 7.8, 7.9, 8, 8.5, 8.3, 8.2, 8.3, 7.8, 7.9 Life Span of Patients Treated at Hospital 3: 8.2, 8.1, 7.4, 8.7, 8.6, 8.2, 7.9, 8.1, 8.1, 8.3, 8.3, 8, 7.6, 8, 7.4, 8.6, 8.2, 8.2, 7.9, 7.7, 8.1, 7.9, 8, 8.3 Life Span of…
Part 1 of 4 A doctor in Oklahoma City wants to know whether the average life span for heart disease patients at four hospitals in the city differ. The data below represents the life span, in years, of heart disease patients from each hospital. Perform an ANOVA test with a 10% level of significance to test whether the average life span of heart disease patients in Oklahoma City differs depending on the hospital that treats them Life Span of Patients Treated at Hospital 1: 8.1, 1.2, 7, 11.5, 21, 2, 15.3, 19.2, 10.5, 15.4, 12.7, 15.3, 12.1, 7.5, 11.4, 16.4, 26.7, 14.6, 1.5, 16.3, 12.6, 0.8, 18.2, 4.2, 9.6, 21, 16.3, 2.7 Life Span of Patients Treated at Hospital 2: 17.6, 11.6, 16.8, 5.2, 6.7, 3.2, 13.8, 12.5, 0.9, 6, 14.3, 1.8, 14.8, 10, 5.8, 15.2, 10, 3.7, 11.4, 21.6, 12.9, 0.5, 9.2, 13.9, 10.9 Life Span of Patients Treated at Hospital 3: 8.5, 2.3, 11, 7.4, 14.8, 5.8, 11, 3.4, 10.9, 1.1, 5.9, 21.6, 12.5, 0.1, 15.5, 15.4, 0.8, 7.7, 5.6, 12, 7.1 Life Span of Patients Treated at Hospital 4:…
7.Which of the values below is closest to the IQR for a normally distributed population with a variance of 36? chosse one: 5,6,7,8,9
18
Which of the following would not be considered
The following table shows the results of an analysis of variance comparing three treatment conditions. What is the value of h2, the percentage of variance accounted for? Source SS df MS Between 30 2 15 F = 7.50 Within 60 30 2 Total 90 32
A researcher has 8 teenagers report the number of times they have left the house without their parents knowing. Scores ranged from 0 to 5. The scores were 3, 1, 2, 5, 3, 1, 3, 4. What is the percentile rank for X = 3: ____%? (RANK SCORES IN YOUR FREQUENCY TABLE FROM HIGHEST TO LOWEST) SHOW YOUR WORK (i.e., write out the columns of the table)!!! a. 62.5 b. 37.5 c. answer not listed d. 75
2. Recovering from surgery: A new postsurgical treatment was compared with a stan- dard treatment. Seven subjects received the new treatment, while seven others (the controls) received the standard treatment. The recovery times, in days, are given below. Can you conclude that the mean recovery time for those receiving the new treatment is less than the mean for those receiving the standard treatment? Use the a = 0.05 level. Treatment: Control: H₁: 12 18 (a) List the null and alternate hypetheses. Ho : (c) List the P-value. 13 23 (d) Make the comparison. 15 24 19 30 20 32 (b) List the distribution, the test statistic, the calculator program, and all input and output variables. 21 35 We reject Ho / We do not reject Ho (circle one) (e) State the final conclusion in the wording of the problem. 24 39