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In a national health survey, the pulse rate of 2344 adults in a particular country averaged 69.59 beats/min with a standard deviation of 11.2 beats/min. Complete parts a through c below. ... a) Can the Central Limit Theorem be applied to describe the distribution of the pulse rates? Why or why not? A. No, because the sample size is not large enough to apply the Central Limit Theorem. B. Yes, if it is assumed that the sample is unimodal and symmetric. C. No, because the sample may be skewed. D. Yes, if it is assumed that these adults are a representative, random sample of adults in this country. OE. No, because the Central Limit Theorem is about sample statistics and not individual measurements. b) Can the Central Limit theorem be used to describe the sampling distribution model for the sample mean of all adults in the country? Why or why not? OA. Yes, if it is assumed that the sample is unimodal and symmetric. B. Yes, if it is assumed that these adults are a representative, random sample of all adults in this country. OC. No, because the sample may be skewed. D. No, because the Central Limit Theorem is about population parameters and not sample statistics. E. No, because the sample size is not large enough to apply the Central Limit Theorem. c) Sketch and clearly label the sampling model of the mean pulse rates of samples of size 2344 based on the 68-95-99.7 Pulo

In a national health survey, the pulse rate of 2344 adults in a particular country averaged 69.59 beats/min with a standard deviation of 11.2 beats/min. Complete parts a through c below. ... a) Can the Central Limit Theorem be applied to describe the distribution of the pulse rates? Why or why not? A. No, because the sample size is not large enough to apply the Central Limit Theorem. B. Yes, if it is assumed that the sample is unimodal and symmetric. C. No, because the sample may be skewed. D. Yes, if it is assumed that these adults are a representative, random sample of adults in this country. OE. No, because the Central Limit Theorem is about sample statistics and not individual measurements. b) Can the Central Limit theorem be used to describe the sampling distribution model for the sample mean of all adults in the country? Why or why not? OA. Yes, if it is assumed that the sample is unimodal and symmetric. B. Yes, if it is assumed that these adults are a representative, random sample of all adults in this country. OC. No, because the sample may be skewed. D. No, because the Central Limit Theorem is about population parameters and not sample statistics. E. No, because the sample size is not large enough to apply the Central Limit Theorem. c) Sketch and clearly label the sampling model of the mean pulse rates of samples of size 2344 based on the 68-95-99.7 Pulo

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.3: Measures Of Spread
Problem 1GP
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In a national health survey, the pulse rate of 2344 adults in a particular country averaged 69.59 beats/min with a standard deviation of 11.2 beats/min. Complete parts a through c below. a) Can the Central Limit Theorem be applied to describe the distribution of the pulse rates? Why or why not? A. No, because the sample size is not large enough to apply the Central Limit Theorem. B. Yes, if it is assumed that the sample is unimodal and symmetric. C. No, because the sample may be skewed. D. Yes, if it is assumed that these adults are a representative, random sample of adults in this country. OE. No, because the Central Limit Theorem is about sample statistics and not individual measurements. b) Can the Central Limit theorem be used to describe the sampling distribution model for the sample mean of all adults in the country? Why or why not? OA. Yes, if it is assumed that the sample is unimodal and symmetric. B. Yes, if it is assumed that these adults are a representative, random sample of all adults in this country. OC. No, because the sample may be skewed. D. No, because the Central Limit Theorem is about population parameters and not sample statistics. E. No, because the sample size is not large enough to apply the Central Limit Theorem. c) Sketch and clearly label the sampling model of the mean pulse rates of samples of size 2344 based on the 68-95-99.7 Rule.
Transcribed Image Text:In a national health survey, the pulse rate of 2344 adults in a particular country averaged 69.59 beats/min with a standard deviation of 11.2 beats/min. Complete parts a through c below. a) Can the Central Limit Theorem be applied to describe the distribution of the pulse rates? Why or why not? A. No, because the sample size is not large enough to apply the Central Limit Theorem. B. Yes, if it is assumed that the sample is unimodal and symmetric. C. No, because the sample may be skewed. D. Yes, if it is assumed that these adults are a representative, random sample of adults in this country. OE. No, because the Central Limit Theorem is about sample statistics and not individual measurements. b) Can the Central Limit theorem be used to describe the sampling distribution model for the sample mean of all adults in the country? Why or why not? OA. Yes, if it is assumed that the sample is unimodal and symmetric. B. Yes, if it is assumed that these adults are a representative, random sample of all adults in this country. OC. No, because the sample may be skewed. D. No, because the Central Limit Theorem is about population parameters and not sample statistics. E. No, because the sample size is not large enough to apply the Central Limit Theorem. c) Sketch and clearly label the sampling model of the mean pulse rates of samples of size 2344 based on the 68-95-99.7 Rule.
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