3. A research team wants to investigate the usefulness of relaxation training forreducing levels of anxiety in individuals experiencing stress. They identify 30people at random from a group of 100 who have "high stress" jobs. The 30 peopleare divided into two groups. One group acts as the control group - they receive notraining. The second group of 15 receive the relaxation training. The subjects ineach group are then given an anxiety inventory. The summarized results appearbelow where higher scores indicate greater anxiety.ControlRelaxationX 30X = 26S= 6.20S=6.63n = 15n = 154. A colleague of the investigators is problem 3 repeats the experiment but matchesthe samples on the dimensions of sex and job type. the raw data appear below.Evaluate her experiment using the criteria of p<.05. Assume it is a two tailedtest.Pairs:12 34 5 6 7 8 9 1011121314 15Contr: 38 40 35 36 35 32 31 30 28 26 24 21 18 34 22Relax:35 32 30 34 30 32 28 27 22 2218 17 17 25 21

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Description: 3. A research team wants to investigate the usefulness of relaxation training forreducing levels of anxiety in individuals experiencing stress. They identify 30people at random from a group of 100 who have "high stress" jobs. The 30 peopleare divide

4) Given data: Pairs 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Control 38 40 35 36 35 32 31 30 28 26…

Math

Statistics

4. A colleague of the investigators is problem 3 repeats the experiment but matches the samples on the dimensions of sex and job type. the raw data appear below. Evaluate her experiment using the criteria of p<.05. Assume it is a two tailed test. Pairs: 1 3 4 5 6 7 8 9. 10 11 12 13 14 15 Contr: 38 40 35 36 35 32 31 30 28 26 24 18 34 22 Relax: 35 32 30 34 30 32 28 27 22 22 18 17 17 25 21 21

4. A colleague of the investigators is problem 3 repeats the experiment but matches the samples on the dimensions of sex and job type. the raw data appear below. Evaluate her experiment using the criteria of p<.05. Assume it is a two tailed test. Pairs: 1 3 4 5 6 7 8 9. 10 11 12 13 14 15 Contr: 38 40 35 36 35 32 31 30 28 26 24 18 34 22 Relax: 35 32 30 34 30 32 28 27 22 22 18 17 17 25 21 21

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Suppose IQ scores were obtained for 20 randomly selected sets of siblings. The 20 pairs of measurements yield x = 98.67, y = 99, r= 0.930, P-value = 0.000, and %3D y = - 12.38 +1.13x, where x represents the IQ score of the younger child. Find the best predicted value of y given that the younger child has an IQ of 97? Use a significance level of 0.05. Click the icon to view the critical values of the Pearson correlation coefficient r. The best predicted value of y is (Round to two decimal places as needed.)
Question #2 A diet guide claims that you will get 120 calories in a serving of vanilla yogurt. Consumer Reports tested 14 brands of vanilla yogurt and found the following numbers of calories per serving: 160 200 220 230 120 180 140 130 170 190 80 120 100 170 Test the claim that the mean number of calories per serving of vanilla yogurt is 120. Use a significance level of 0.05. Show all the steps of your hypothesis test including The claim being tested: The null and alternative hypothesis: The test statistic
Suppose IQ scores were obtained for 20 randomly selected sets of siblings. The 20 pairs of measurements yield x = 101.13, y = 103.5, r=0.867, P-value = 0.000, and y = 6.25 +0.96x, where x represents the IQ score of the younger child. Find the best predicted value of y given that the younger child has an IQ of 101? Use a significance level of 0.05. Click the icon to view the critical values of the Pearson correlation coefficient r. The best predicted value of ŷ is. (Round to two decimal places as needed.)
Which of these scenarios means that a pretest-posttest design with a non-equivalent control group is not suitable? Select all that apply. O a. All of the available participants will be receiving the intervention at the same time. O b. Authors want to examine for any trends in the data over time. O c. The participants were placed into the experimental and control groups by natural circumstances rather than random assignment. O d. Authors want to compare averages between two groups before and after the intervention using an ANOVA.
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A study of seat belt yielded the randomly selected sample data summarized in the accompanying table. Use a 0.05 significance level to test the claim that the amount of smoking is independent of seat belt use. A plausible theory is that people who smoke dy are less concerned about their health and safety and are therefore less inclined to wear seat belts. Is this theory supported by the sample data? 5 sic Click the icon to view the data table. use. ..... Hа: Heavy Determine the test More info izlet. y of X-(Round to claim Number of Cigarettes Smoked per Day 15-34 Determine the P-v 1-14 35 and over le wh Wear Seat Belts 190 13 36 10 P-Value = (Rou Don't Wear Seat Belts 152 13 45 ww.nur y is that people ry supported by Use a 0.05 signific who smoke are les the sample data? nour seat Done theory is not zed in t Print O A. There is nd supported S Top eat belt. The O B. There is no theory is supportou Dy ao vampIG Gutu. O C. There is sufficient evidence to reject the claim that heavy smokers…
Is the proportion of wildfires caused by humans in the south different from the proportion of wildfires caused by humans in the west? 350 of the 519 randomly selected wildfires looked at in the south were caused by humans while 383 of the 500 randomly selected wildfires looked at the west were caused by humans. What can be concluded at the a = 0.01 level of significance? Rectangular Snip a. For this study, we should use Select an answer b. The null and alternative hypotheses would be: Ho: Select an answer | (please enter a decimal) Select an answer v Select an answer H1: Select an answer v Select an answer vSelect an answer v (Please enter a decimal) c. The test statistic ? v = (please show your answer to 3 decimal places.)
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4 4G I. moodle.unizwa.edu.om a | Quiz3 Time left 0:00:21 Question 3 Answer saved Marked out of 2.00 P Flag question Which one of the following choices describes a problem for which an analysis of variance would be appropriate? O A. Comparing the proportion of successes for three different treatments of anxiety. Each treatment is tried on 100 patients O B. Analyzing the relationship between high school GPA and college GPA O . Analyzing the relationship between gender and opinion about capital punishment (favor or oppose). O D. Comparing the mean birth weights of newborn babies for three different hospitals. O E. None of these Clear my choice Previous page Next page 1 2w-ANOVA(3) Jump to... Quiz navigation 7 +
Suppose IQ scores were obtained for 20 randomly selected sets of siblings. The 20 pairs of measurements yield x = 102.13, y = 101.35, r= 0.927, P-value = 0.000, and y = 2.05 + 0.97x, where x represents the IQ score of the older child. Find the best predicted value of y given that the older child has an IQ of 103? Use a significance level of 0.05. Click the icon to view the critical values of the Pearson correlation coefficient r. Critical Values of the Pearson Correlation Coefficient r The best predicted value of y is (Round to two decimal places as needed.) Critical Values of the Pearson Correlation Coefficient r a = 0.05 a = 0.01 NOTE: To test Ho: p=0 Jagainst H,: p#0, reject H, lif the absolute value of r is greater than the critical value in the table. 4. 0.950 0.990 0.878 0.959 6 0.811 0.917 0.754 0.875 8. 0.707 0.834 0.666 0.632 0.602 9 0.798 10 0.765 11 0.735 12 0.576 0.708 13 0.553 0.684 14 0.532 0.661 15 0.514 0.641 16 0.497 0.623 17 0.482 0.606 0.468 0.456 18 0.590 19 0.575…
Five observations taken for two variables follow. xi 6 11 15 21 27 yi 6 9 5 18 12 a. compute the sample covarinace b. Compute the sample correlation coefficient. (Round your answer to three decimal places.)