Please use the accompanying Excel data set or accompanying Text filedata set when completing the following exercise.An Article in the Journal of Sports Science (1987, Vol. 5, pp. 261-271)presents the results of an investigation of the hemoglobin level ofCanadian Olympic ice hockey players. A random sample of 20 players isselected and the hemoglobin level is measured. The resulting samplemean and standard deviation(g/dl) are = 15.31 and s = 0.6160. Usethis information to calculate a 95% two-sided confidence interval onthe mean hemoglobin level and a 95% two-sided confidence interval onthe variance. Assume the data are normally distributed.Round your answers to 2 decimal places.

Answered: Image /qna-images/answer/5e8d0fb5-c67f-4f7a-b2eb-ec6c5c7a9fd1.jpg

Answered: An Article in the Journal of Sports…

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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Three experiments investigating the relation between need for cognitive closure and persuasion were performed. Part of the study involved administering a "need for closure scale" to a group of students enrolled in an introductory psychology course. The "need for closure scale" has scores ranging from 101 to 201. For the 67 students in the highest quartile of the distribution, the mean score was x = 175.90. Assume a population standard deviation of ? = 7.61. These students were all classified as high on their need for closure. Assume that the 67 students represent a random sample of all students who are classified as high on their need for closure. How large a sample is needed if we wish to be 99% confident that the sample mean score is within 2.4 points of the population mean score for students who are high on the need for closure? (Round your answer up to the nearest whole number.) ( )students
When engaging in weight-control (fitness/fat burning) types of exercise, a person is expected to attain approximately 60% of his or her maximum heart rate. For 20-year-olds, this rate is approximately 120 bpm. A simple random sample of thirty 20-year-olds was taken, and the sample mean was found to be 107 bpm, with a standard deviation of 45 bpm. Researchers wonder if this is evidence to conclude that the expected level is actually lower than 120 bpm. (a = 0.05) What decision do you make about the hypothesis test? O We will accept the null hypothesis O We reject the null hypothesis O We will not able to make a decision from data. O We will fail to reject the null hypothesis
A scientist formulated a new cough medicine and would want to know if there is an impact on its reaction time. He gathered about 50 patients and the reaction times of each is measured right before and one hour after taking the cough medication. Assuming that the data is not normally distributed, what would be the best statistical tool to be used? And why? a. ANOVAb. Mann Whitneyc. Wilcoxon Signed Rankd. Independent t-teste. Spearman Rho - Why?
In a study investigating the effect of car speed on accident severity, 5,000 reports of fatal automobile accidents were examined, and the vehicle speed at impact was recorded for each one. For these 5,000 accidents, the average speed was 44 mph and the standard deviation was 16 mph. A histogram revealed that the vehicle speed at impact distribution was approximately normal. (Use the Empirical Rule.) (a) Approximately what percentage of these vehicle speeds were between 28 and 60 mph? approximately % (b) Approximately what percentage of these vehicle speeds exceeded 60 mph? (Round your answer to the nearest whole number.) approximately %
In a study investigating the effect of car speed on accident severity, 5,000 reports of fatal automobile accidents were examined, and the vehicle speed at impact was recorded for each one. For these 5,000 accidents, the average speed was 54 mph and the standard deviation was 11 mph. A histogram revealed that the vehicle speed at impact distribution was approximately normal. (Use the Empirical Rule.) (a) Approximately what percentage of these vehicle speeds were between 43 and 65 mph? (b) Approximately what percentage of these vehicle speeds exceeded 65 mph? Step 1 (a) Approximately what percentage of these vehicle speeds were between 43 and 65 mph? Recall that per the Empirical Rule, if a data distribution is mound shaped and approximately symmetric, then: • Approximately 68% of the observations fall within 1 standard deviation of the mean. Approximately 95% of the observations fall within 2 standard deviations of the mean. Approximately 99.7% of the observations fall within 3 standard…
In a recent year, 11th grade New York public school students taking an English test produced test scores that were normally distributed with a mean of 84 and a standard deviation of 7.2. Let x be a random variable that represents a test score. What is the lowest score that would still place a student in the top 30% of the scores? A. 85.82 B. 87.78 C. 82.52 D. 79.47
In a study investigating the effect of car speed on accident severity, 5,000 reports of fatal automobile accidents were examined, and the vehicle speed at impact was recorded for each one. For these 5,000 accidents, the average speed was 44 mph and the standard deviation was 17 mph. A histogram revealed that the vehicle speed at impact distribution was approximately normal. (Use the Empirical Rule.) (a) Approximately what percentage of these vehicle speeds were between 27 and 61 mph? approximately % (b) Approximately what percentage of these vehicle speeds exceeded 61 mph? (Round your answer to the nearest whole number.) approximately %
Areas under the Normal Curve .00 .01 .02 .03 .04 .05 .06 .07 .08 .09 0.5040 0.5438 0.5832 0.5199 0.5596 0.5239 0,5636 0.6026 0.5279 0,5675 0.6064 0.0 0.5000 0.5080 0.5120 0.5319 0.5714 0.6103 0.5160 0.5359 0.0 0.5753 0.1 0.2 0.5398 0.5478 0.5517 0.5557 0.1 0.5793 0.5871 0.5910 0.5948 0.5987 0.6141 0.2 0.6331 0.6700 0.6368 0.6480 0.6517 0.6879 0.6179 0.6217 0.6255 0.6628 0.6293 0.6664 0.6406 0.6443 0.6808 0.3 0.4 0.3 0.4 0.6554 0.6591 0.6736 0.6772 0.6844 0.6985 0.7324 0.7642 0.7224 0.7549 0.7852 0.5 0.6915 0.6950 0.7019 0.7054 0.7088 0.7123 0.7157 0.7190 0.5 0.6 0.7257 0.7291 0.7357 0.7389 0.7422 0.7734 0.7454 0.7486 0.7794 0.8078 0.7517 0.7823 0.6 0.7 0.7580 0.7611 0.7673 0.7704 0.7764 0.7 0.7995 0.8264 0.7939 0.8 0.9 0.8051 0.8315 0.8133 0.8389 0.7881 0.7910 0.7967 0.8023 0.8106 0.8 0.8159 0.8186 0.8212 0.8238 0.8289 0.8340 0.8365 0.9 1.0 0.8413 0.8485 0.8554 0.8770 0.8962 0.8599 0.8810 0.8438 0.8461 0.8508 0.8531 0.8577 0.8621 1.0 1.1 0.8643 0.8665 0.8686 0.8708 0.8830 0.8729 0.8925…
In a study investigating the effect of car speed on accident severity, 5,000 reports of fatal automobile accidents were examined, and the vehicle speed at impact was recorded for each one. For these 5,000 accidents, the average speed was 42 mph and the standard deviation was 12 mph. A histogram revealed that the vehicle speed at impact distribution was approximately normal. (Use the Empirical Rule.) (a) Approximately what percentage of vehicle speeds were between 30 and 54 mph? approximately % (b) Approximately what percentage of vehicle speeds exceeded 54 mph? (Round your answer to the nearest whole number.) approximately %
Childhood participation in sports, cultural groups, and youth groups appears to be related to improved self-esteem for adolescents (McGee, Williams, Howden-Chapman, Martin, & Kawachi, 2006). In a representative study, a sample of n = 100 adolescents with a history of group participation is given a standardized self-esteem questionnaire. For the general population of adolescents, scores on this questionnaire form a normal distribution with a mean of µ = 50 and a standard deviation of a = 15. The sample of group-participation adolescents had an average of M = 53.8 . a. Does this sample provide enough evidence to conclude that self esteem scores for these adolescents are significantly different from those of the general population? Use a two-tailed test with a = .05. b. Compute Cohen's d to measure the size of the difference. c. Write a sentence describing the outcome of the hypothesis test and the measure of effect size as it would appear in a research report.
BrainWeights. In 1905, R. Pearl published the article “Biometrical Studies on Man. I. Variation and Correlation in Brain Weight” (Biometrika, Vol. 4, pp. 13–104). According to the study, brain weights of Swedish men are normally distributed with mean 1.40 kg and standard deviation 0.11 kg. Apply the empirical rule to fill in the blanks. a. Approximately 68% of Swedish men have brain weights between ______ and ______ . b. Approximately 95% of Swedish men have brain weights between ______ and ______ . c. Approximately 99.7% of Swedish men have brain weights between ______ and ______ . d. Draw graphs similar to those in Fig. 6.27 on page 283 to portray your results.
When engaging in weight-control (fitness/fat burning) types of exercise, a person is expected to attain approximately 60% of his or her maximum heart rate. For 20-year-olds, this rate is approximately 120 bpm. A simple random sample of thirty 20-year-olds was taken, and the sample mean was found to be 107 bpm, with a standard deviation of 45 bpm. Researchers wonder if this is evidence to conclude that the expected level is actually lower than 120 bpm. Compute the p-value: O 0.023 O 0.062 O 0.002 O 0.02

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