Suppose X is a Normal random varlable with with expected value 21.21 and standard deviation 3.33. We take a random sample of size n from the distribution of X. Let X be the sample mean. Use R to determine the following: a) Find the probability P(X<23.1) 0.7148357 b) Find the probability P(X <23.1) when n = 4 0.8718406 c) Find the probability P(X <23.1) when n = 25 0.997729 d) What is the probability P(22 361.57? g) Copy your R script for the above into the text box here.

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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Suppose \( X \) is a normal random variable with an expected value of 21.21 and a standard deviation of 3.33. We take a random sample of size \( n \) from the distribution of \( X \). Let \( \overline{X} \) be the sample mean. Use R to determine the following:

a) Find the probability \( P(X < 23.1) \)  
   - Result: 0.7148357

b) Find the probability \( P(\overline{X} < 23.1) \) when \( n = 4 \)  
   - Result: 0.8718406

c) Find the probability \( P(\overline{X} < 23.1) \) when \( n = 25 \)  
   - Result: 0.997729

d) What is the probability \( P(22 < \overline{X} < 23.5) \) when \( n = 25 \)  
   - Result: 0.1174819

e) What is the standard deviation of \( \overline{X} \) when \( n = 39 \)  
   - (Calculate here)

f) What is the probability that \( X_1 + X_2 + \ldots + X_{17} > 361.57 \)?  
   - (Calculate here)

g) Copy your R script for the above into the text box here.  
   - (Provide script here)

This task involves calculating probabilities and the standard deviation of the sample mean using the normal distribution and a statistical programming language, R.
Transcribed Image Text:Suppose \( X \) is a normal random variable with an expected value of 21.21 and a standard deviation of 3.33. We take a random sample of size \( n \) from the distribution of \( X \). Let \( \overline{X} \) be the sample mean. Use R to determine the following: a) Find the probability \( P(X < 23.1) \) - Result: 0.7148357 b) Find the probability \( P(\overline{X} < 23.1) \) when \( n = 4 \) - Result: 0.8718406 c) Find the probability \( P(\overline{X} < 23.1) \) when \( n = 25 \) - Result: 0.997729 d) What is the probability \( P(22 < \overline{X} < 23.5) \) when \( n = 25 \) - Result: 0.1174819 e) What is the standard deviation of \( \overline{X} \) when \( n = 39 \) - (Calculate here) f) What is the probability that \( X_1 + X_2 + \ldots + X_{17} > 361.57 \)? - (Calculate here) g) Copy your R script for the above into the text box here. - (Provide script here) This task involves calculating probabilities and the standard deviation of the sample mean using the normal distribution and a statistical programming language, R.
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