When engaging in weight-control (fitness/fat burning) types of exercise, a person is expected to attain about 160% of their maximum heart rate. For 20-year-olds, this rate is approximately 120 bpm. A simple random sample of one hundred 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 95% Confidence Interval will have a Margin of Error of

When engaging in weight-control (fitness/fat burning) types of exercise, a person is expected to attain about 160% of their maximum heart rate. For 20-year-olds, this rate is approximately 120 bpm. A simple random sample of one hundred 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 95% Confidence Interval will have a Margin of Error of

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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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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
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. Report a 95% confidence region for the mean level of heart rate for this group. the mean level of heart rate is lower than 120.96 the mean level of heart rate is greater than 114.47 the mean level of heart rate is greater than 117.67 the mean level of heart rate is lower than 114.47
Callahan (2009) demonstrated that tai chi can significantly reduce symptoms for individuals with arthritis. Participants were 18 years old or older with doctor-diagnosed arthritis. Self-reports of pain and stiffness were measured at the beginning of an eight-week tai chi course and again at the end. Suppose that the data produced an average of MD = 8.5 decrease in pain and stiffness of with a standard deviation of 21.5 for a sample of n = 40 participants. Use a two-tailed test with α = .05 to determine whether the tai chi had a significant effect on pain and stiffness.
Bone mineral density (BMD) is a measure of bone strength. Studies show that BMD declines after age 45. The impact of exercise may increase BMD. A random sample of 59 women between the ages of 41 and 45 with no major health problems were studied. The women were classified into one of two groups based upon their level of exercise activity: walking women and sedentary women. The 39 women who walked regularly had a mean BMD of 5.96 with a standard deviation of 1.22. The 20 women who are sedentary had a mean BMD of 4.41 with a standard deviation of 1.02. Which of the following inference procedures could be used to estimate the difference in the mean BMD for these two types of women
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Because schools in areas affected by these natural disasters were disproportionately low performing schools, many students affected were not only forced to switch schools, but also ended up switching to a higher quality school. Sacerdote finds initial declines in test scores (likely due to the shock of displacement), but “by the third and fourth years after the disaster, evacuees displaced [by these natural disasters] see a 0.18 standard deviation improvement in scores.” Sacerdote also finds that the improvements observed were “concentrated among students initially in the lowest quintiles of the test score distribution.” 1. Define the outcome (Y), the endogenous regressor (X), and the instrument (Z) in the context of this study.2. Is this instrument relevant? Explain why or why not.3. Is this instrument exogenous? Explain why or why not.4. For what group of individuals is this study externally valid? List at least two groups for which this study is unlikely to yield externally valid…
Suppose that a report by a leading medical organization claims that the healthy human heart beats an average of 72 times per minute. Advances in science have led some researchers to question if the healthy human heart beats an entirely different amount of time, on average, per minute. They obtain pulse rate data from a sample of 85 healthy adults and find the average number of heart beats per minute to be 76, with a standard deviation of 13. Before conducting a statistical test of significance, this outcome needs to be converted to a standard score, or a test statistic. What would that test statistic be? (Use decimal notation. Give your answer to one decimal place.) test statistic:
I wanted to do a market research study estimating the average hourly wage earned by childcare workers in the bay area. How large does my sample need to be in order to have a margin of error that is less than $0.50 with a 95% confidence in the result. Assume that the standard deviation of the wages is $2 per hour.
Dr. Sylvester Stallone is a circadian rhythms researcher and believes sleep affects memory. Having collected data on a large number of subjects who are getting the recommended amount of sleep, he knows the mean digit span of this population is 5.6 digits. To test his hypothesis, he measures the digit span of 15 volunteers randomly selected from the population, after depriving them of one night’s sleep. The results show a mean (X bar) of 4.1 and a standard deviation of (s) 1.4. a. What does Dr. Stallone conclude, using and alpha of 0.05 (two tailed)? b. If appropriate, calculate the size of effect and provide an interpretation of the value?
A college student is interested in investigating the claim that students who graduate with a master’s degree earn higher salaries, on average, than those who finish with a bachelor’s degree. She surveys, at random, 49 recent graduates who completed their master’s degrees, and finds that their mean salary is $⁢37,400 per year. The standard deviation of annual salaries for the population of recent graduates who have master’s degrees is known to be $⁢2400. She also surveys, at random, 37 recent graduates who completed their bachelor’s degrees, and finds that their mean salary is $⁢36,700 per year. The standard deviation of annual salaries for the population of recent graduates with only bachelor’s degrees is known to be $⁢1900. Test the claim at the 0.05 level of significance. Let recent graduates with a master's degree be Population 1 and let recent graduates with a bachelor's degree be Population 2. Step 3 of 3 : Draw a conclusion and interpret the decision.
A shareholders' group is lodging a protest against your company. The shareholders group claimed that the mean tenure for a chief exective office (CEO) was at least 9 years. A survey of 67 companies reported in The Wall Street Journal found a sample mean tenure of 6.5 years for CEOS with a standard deviation of s = 4.9 years (The Wall Street Journal, January 2, 2007). You don't know the population standard deviation but can assume it is normally distributed. You want to formulate and test a hypothesis that can be used to challenge the validity of the claim made by the group, at a significance level of a = 0.02. Your hypotheses are: Hoiu 29 Hau<9 What is the test statistic for this sample? test statistic (Report answer accurate to 3 decimal places.) What is the p-value for this sample? p-value - (Report answer accurate to 4 decimal places.) The p-value is. O less than (or equal to) a Ogreater than a This test statistic leads to a decision to. Oreject the null Oaccept the nul O fail to…