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Let x be a random variable representing the amount of sleep each adult in New York City got last night. Consider a sampling distribution of sample means x (a) As the sample size becomes increasingly large, what distribution does the x distribution approach? O sampling distribution O binomial distribution O normal distribution O uniform distribution (b) As the sample size becomes increasingly large, what value will the mean of the x distribution approach? Он Oo O μ/n O μ/√n Oμ (c) What value will the standard deviation of the sampling distribution approach? O a/n Oμ Oo O o/√n ox (d) How do the two x distributions for sample size n = 50 and n = 100 compare? (Select all that apply.) The standard deviations are / 50 and o/100, respectively. The standard deviations are the same. The standard deviations are μ/ 50 and μ/ 100, respectively. The standard deviations are a / √50 and / √100, respectively. The standard deviations are μ/ √50 and μ/ √100, respectively. The means are the same.

Let x be a random variable representing the amount of sleep each adult in New York City got last night. Consider a sampling distribution of sample means x (a) As the sample size becomes increasingly large, what distribution does the x distribution approach? O sampling distribution O binomial distribution O normal distribution O uniform distribution (b) As the sample size becomes increasingly large, what value will the mean of the x distribution approach? Он Oo O μ/n O μ/√n Oμ (c) What value will the standard deviation of the sampling distribution approach? O a/n Oμ Oo O o/√n ox (d) How do the two x distributions for sample size n = 50 and n = 100 compare? (Select all that apply.) The standard deviations are / 50 and o/100, respectively. The standard deviations are the same. The standard deviations are μ/ 50 and μ/ 100, respectively. The standard deviations are a / √50 and / √100, respectively. The standard deviations are μ/ √50 and μ/ √100, respectively. The means are the same.

MATLAB: An Introduction with Applications
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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Let x be a random variable representing the amount of sleep each adult in New York City got last night. Consider a sampling distribution of sample means x. (a) As the sample size becomes increasingly large, what distribution does the x distribution approach? O sampling distribution O binomial distribution O normal distribution O uniform distribution (b) As the sample size becomes increasingly large, what value will the mean of the x distribution approach? OHI O o O μ/n Ομίνη Ομ (c) What value will the standard deviation of the sampling distribution approach? O g/n Ομ O o O g/√n O ox (d) How do the two x distributions for sample size n = 50 and n = 100 compare? (Select all that apply.) The standard deviations are o / 50 and o/100, respectively. 00 The standard deviations are the same. The standard deviations are μ / 50 and μ / 100, respectively. The standard deviations are o/ √50 and o/ √100, respectively. The standard deviations are μ/ √50 and μ/ √100, respectively. The means are the same.
Transcribed Image Text:Let x be a random variable representing the amount of sleep each adult in New York City got last night. Consider a sampling distribution of sample means x. (a) As the sample size becomes increasingly large, what distribution does the x distribution approach? O sampling distribution O binomial distribution O normal distribution O uniform distribution (b) As the sample size becomes increasingly large, what value will the mean of the x distribution approach? OHI O o O μ/n Ομίνη Ομ (c) What value will the standard deviation of the sampling distribution approach? O g/n Ομ O o O g/√n O ox (d) How do the two x distributions for sample size n = 50 and n = 100 compare? (Select all that apply.) The standard deviations are o / 50 and o/100, respectively. 00 The standard deviations are the same. The standard deviations are μ / 50 and μ / 100, respectively. The standard deviations are o/ √50 and o/ √100, respectively. The standard deviations are μ/ √50 and μ/ √100, respectively. The means are the same.
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