Function to generate sampling distribution of the sample mean function called samp.dist.mean , Such that: Takes as inputs: i) a population vector ( pop ), ii) the number of samples (n, lower-cas conduct (call this variable is K ). n the body of the function: i) for a given sample size n, uses the function sample.me mean for each experiment (i.e., for k = 1, 2, ..., K). Dutputs: returns a vector of length K with the sample means obtained from the K
Function to generate sampling distribution of the sample mean function called samp.dist.mean , Such that: Takes as inputs: i) a population vector ( pop ), ii) the number of samples (n, lower-cas conduct (call this variable is K ). n the body of the function: i) for a given sample size n, uses the function sample.me mean for each experiment (i.e., for k = 1, 2, ..., K). Dutputs: returns a vector of length K with the sample means obtained from the K
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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![Part 1: Function to generate sampling distribution of the sample mean
Write a function called samp.dist.mean, SUCch that:
• Takes as inputs: i) a population vector ( pop ), ii) the number of samples ( n, lower-case) to draw, and iii) the number of experiments to
conduct (call this variable is k ).
• In the body of the function: i) for a given sample size n, uses the function sample.mean (with out.sample=FALSE ) to obtain the sample
mean for each experiment (i.e., for k = 1, 2,... , K).
• Outputs: returns a vector of length K with the sample means obtained from the K experiments.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F5a3df371-d475-482a-84ce-057c931f1fc6%2F559030c2-5bf3-4da6-8b93-0da6cabd8275%2F7ffizxm_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Part 1: Function to generate sampling distribution of the sample mean
Write a function called samp.dist.mean, SUCch that:
• Takes as inputs: i) a population vector ( pop ), ii) the number of samples ( n, lower-case) to draw, and iii) the number of experiments to
conduct (call this variable is k ).
• In the body of the function: i) for a given sample size n, uses the function sample.mean (with out.sample=FALSE ) to obtain the sample
mean for each experiment (i.e., for k = 1, 2,... , K).
• Outputs: returns a vector of length K with the sample means obtained from the K experiments.
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