Weights of golden retriever dogs are normally distributed. Samples of weights of golden retriever dogs, each of size n = 15, are randomly collected and the sample means are found. Is it correct to conclude that the sample means cannot be treated as being from a normal distribution because the sample size is too small? Explain. Choose the correct answer below. O A. Yes; the sample size must be over 30 for the sample means to be normally distributed. O B. No; the original population is normally distributed, so the sample means will be normally distributed for any sample size. O C. No; the samples are collected randomly, so the sample means will be normally distributed for any sample size. O D. No; as long as more than 30 samples are collected, the sample means will be normally distributed.

Weights of golden retriever dogs are normally distributed. Samples of weights of golden retriever dogs, each of size n = 15, are randomly collected and the sample means are found. Is it correct to conclude that the sample means cannot be treated as being from a normal distribution because the sample size is too small? Explain. Choose the correct answer below. O A. Yes; the sample size must be over 30 for the sample means to be normally distributed. O B. No; the original population is normally distributed, so the sample means will be normally distributed for any sample size. O C. No; the samples are collected randomly, so the sample means will be normally distributed for any sample size. O D. No; as long as more than 30 samples are collected, the sample means will be normally distributed.

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Description: Weights of golden retriever dogs are normally distributed. Samples of weights of golden retriever dogs, each of sizen = 15, are randomly collected and the sample means are found. Is it correct to conclude that the sample meanscannot be treated as be

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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