A random sample of 25 was collected and provided a sample mean 82.6 and a sample standarddeviation of 31.68. The values were the number of hours spent watching sports programs in onemonth.Calculate the margin of error for a 95% confidence interval.Round up to ONE decimal for the critical value. E.g. t = 1.09, then t = 1.1.Round up to TWO decimal places for your final answer. Eg. 12.656, the ME = 12.66

given data,n=25S=82.6S=31.68CI=0.95α=1-0.95 =0.05df=n-1 =25-1 =24we have to find out the margin…

Answered: A random sample of 25 was collected and…

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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A study wanted to compare the weight loss between two drugs. They sampled 60 people. 30 who took drug A and 30 who took drug B. With drug A the average weight loss was 15 pounds with a standard deviation of 8 pounds. With drug B the average weight loss was 18 pounds with a standard deviation of 9 pounds. Find the p-value with drug A population 1. Round to 4 decimal places.
Assume that adults have IQ scores that are normally distributed with a mean of 96.6 and a standard deviation 19. Find the first quartile Q,, which is the IQ score separating the bottom 25% from the top 75%. (Hint: Draw a graph.) The first quartile is (Type an integer or decimal rounded to one decimal place as needed.)
Test scores for a history class had a mean of 69 with a standard deviation of 4.5. Test scores for a physics class had a mean of 79 with a standard deviation of 3.5. Suppose a student gets a 75 on the history test and 83 on the physics test. Calculate the z- score for each test. On which test did the student perform better? A. B. C. D. History exam; history z-score is 1.33; physics z-score is 1.14 Physics exam; history z-score is 1.33; physics z-score is 1.14 History exam; history z-score is -1.33; physics z-score is -1.14 Physics exam; history z-score is -1.33; physics z-score is -1.14
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A student scores 74 on a geography test and 264 on a mathematics test. The geography test has a mean of 80 and a standard deviation of 5. The mathematics test has a mean of 300 and a standard deviation of 24. If the data for both tests are normally distributed, on which test did the student score better relative to the other students in each class? OA. The student scored better on the mathematics test. OB. The student scored better on the geography test. OC. The student scored the same on both tests.
Assume that adults have IQ scores that are normally distributed with a mean of 103.1 and a standard deviation 20.6. Find the first quartile Q1, which is the IQ score separating the bottom 25% from the top 75%. (Hint: Draw a graph.)
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Use the information below to answer question. Data measured on n=3,539 participants who attended the seventh examination of the O↵spring in the Framing- ham Heart Study showed that the mean Total Serum Cholesterol for men is 192.4 with sample size 1,544, whereas the mean Total Serum Cholesterol for women is 207.1 with sample size 1,766. The population standard deviation for men is 35.2 and 36.7 for women. We now wish to assess whether there is a statistically significant di↵er- ence in mean Total Serum Cholesterol between men and women using a 5% level of significance. Given that the table or the critical value is -1.96, do we accept or reject the claim that the mean weight is 191 and why?........................................................................... ...............................................................................................
Assume that the heights of women are normally distributed with a mean of 63 inches and a standard deviation of 1.4 inches. Find Qa, the third quartile that separates the bottom 75% from the top 25%. Click to view page 1 of the table. Click to view page 2 of the table. O A. 62.1 B. 63.9 O C. 64.6 O D. 64.8
The WAIS is an IQ test. Scores on the WAIS for the 20-34 age group are normally distributed with a mean 110 and a standard deviation of 25. Scores for the 60-64 age group are normally distributed with a mean of 90 and a standard deviation of 25. Find the percent of 20-34-year-olds that have an IQ greater than 120. a. 16% b. z= 0.4 or 40% c. 0.6554 or 65.54% d. 0.3446 or 34.46%
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