A researcher wants to compare the heights of males between generations to see if they differ. To do this, he samplesrandom pairs of males who are at least 18 years old and their fathers. He then splits them into a sample of fathers and asample of sons. Suppose that data were collected for a random sample of 11 pairs, where each difference is calculated bysubtracting the height of the son from the height of the father. Assume that the heights are normally distributed. Using atest statistic of ț ~. 1 .971 , the significance level α-0.05, and the corresponding p-value between 0.05 and O. 10, draw aconclusion for the appropriate hypothesis test, where the null hypothesis is Ho·Ha-0 and the alternative hypothesis isSelect all that apply:Reject the null hypothesis.Fail to reject the null hypothesis.The conclusion of the hypothesis test is that there is sufficient evidence to suggest that the heights of malesbetween generations are different.The conclusion of the hypothesis test is that there is insufficient evidence to suggest that the heights of malesbetween generations are different.

Explanation:The decision rule regarding the testing of hypothesis for a two-sided alternative using…

Answered: A researcher wants to compare the…

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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In a frequency distribution coefficient of skewness based on quartiles is 0.8 if the sum of the upper and lower quartiles is 100 and the median is 36 find the value of the lower and upper quartiles.
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Recent studies have shown that about 16% of American adults fit the medical definition of being obese. A large medical clinic would like to estimate what percentage of their patients are obese, so they take a random sample of 400 patients and find that 52 are obese. Suppose that in truth, the same percentage holds for the patients of the medical clinic as for the general population, 16%. Find the mean of the sampling distribution of p̂.
The Table 1 shows the LDL cholesterol level in a sample of ten heart patients. Table 1: Total LDL cholesterol level 132 162 133 145 148 139 147 160 150 153 Calculate: (a) measures of central tendency. (b) range and semi inter-quartile range. (c) variance and determine the shape of skewness.
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An immunologist wants to compare two rabies vaccines. People who had previously received the vaccine were divided into two groups. The first group received a booster dose of type I vaccine and the second group received a booster dose of type II vaccine. Two weeks later the antibody level was measured. The average number of antibodies in each group appears in the following table: Do these data indicate that there is a difference in the effectiveness of the two vaccines used for booster doses? Assume a normal distribution and equal population variances. What type of hypothesis test will allow us to reach a conclusion in the situation posed above? A. Variance test B. Unilateral for difference in proportions C. Bilateral for average difference D. Unilateral for change in effectiveness
A national caterer determined that 87% of the people who sampled their food said that it was delicious. A random sample of 144 people is obtained from a population 5000. The 144 people are asked to sample the caterer`s food. Will the distribution of pˆ,the sample proportion saying that the food is delicious, be approximately normal?
Part I A bakery sells homemade bread by the loaf and sales are uniformly distributed between 200 and 600 loaves per day. a. Find the probability of selling 240 loaves on a given day. b. Find the probability of selling between 250 and 260 loaves per day Part II The golf balls produced by TruGolf have a mean distance of 250 meters and a variance of 625 meters. c. How large a sample of TruGolf balls should be taken if they want to estimate with 90% confidence the mean distance to within 8 meters? d A random sample of 40 balls from TruGolf are selected. Find the Bound of Error when the confidence level is 95% for TruGolf
The mean of the distribution of sample means would be equal to:
A researcher would like to evaluate the effectiveness of a pain-relief patch designed for back pain. Prior to testing the patch, each of n = 8 patients rates their current level of back pain on a scale from 1 to 10. After wearing the patch for 90 minutes, a second pain rating is recorded. The data are as follows: Before After 6 2 8 3 9 4 8 1 10 2 5 3 9 8 7 7 a. Compute the mean and variance for the sample of difference scores. b. Do the results indicate that the pain-relief patch has an effect? Use a two-tailed test with α = .05 c. Compute Cohen’s d to measure the size of the effect.
and if the scores A set of 10 scores has SS= 90. If the scores are a sample, the sample variance is are a population, the population variance is O 2 - 10: ? = 10
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