Calculating Standard Deviation for a Sample Mean

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SUMMARY

The discussion centers on calculating the standard deviation of the sample mean, ##\bar{x}##, for 55 independent normal observations with a mean of 100. The first 50 observations have a variance of 76.4, while the last five have a variance of 127. The calculated variance of ##\bar{x}## is 1.47272, leading to a standard deviation of 1.213559. This calculation is confirmed as correct, assuming no arithmetic errors were made.

PREREQUISITES
  • Understanding of variance and standard deviation in statistics
  • Familiarity with the properties of independent normal distributions
  • Knowledge of the Central Limit Theorem
  • Ability to perform basic arithmetic operations and algebraic manipulation
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  • Learn about the calculation of variance for combined distributions
  • Explore the concept of confidence intervals for sample means
  • Study the application of the normal distribution in hypothesis testing
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bonfire09
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Homework Statement



There are 55 independent normal observations with mean 100. The first 50 observations have variance 76.4 and last five have variance 127.
Calculate the probability that ##\bar{x}=\frac{1}{55}\sum_{i=1}^{55} X_i## is between 98 and 103.

Homework Equations


The Attempt at a Solution


The trouble I am having is finding the standard deviation of ##\bar{x}##.
What I did so far is Var(##\frac{1}{55}\sum_{i=1}^{55} X_i##)=##\frac{1}{55^2} Var(\sum_{i=1}^{55} X_i)=\frac{1}{55^2}[Var(X_1)+...+Var(X_{55})]= \frac{1}{55^2}*[76.4*50+127*5]=1.47272##. So the standard deviation of ##\bar{x}## is 1.213559.
Not sure if this correct or not?
 
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bonfire09 said:

Homework Statement



There are 55 independent normal observations with mean 100. The first 50 observations have variance 76.4 and last five have variance 127.
Calculate the probability that ##\bar{x}=\frac{1}{55}\sum_{i=1}^{55} X_i## is between 98 and 103.

Homework Equations





The Attempt at a Solution


The trouble I am having is finding the standard deviation of ##\bar{x}##.
What I did so far is Var(##\frac{1}{55}\sum_{i=1}^{55} X_i##)=##\frac{1}{55^2} Var(\sum_{i=1}^{55} X_i)=\frac{1}{55^2}[Var(X_1)+...+Var(X_{55})]= \frac{1}{55^2}*[76.4*50+127*5]=1.47272##. So the standard deviation of ##\bar{x}## is 1.213559.
Not sure if this correct or not?

You seem to be asking us if you are sure this is correct (rather than just asking us if it IS correct). Anyway, assuming no arithmetical errors (I have not checked) the answer should be OK.
 
Yes, I'm not sure if what I did is correct. Could you please check it for me if I did it correctly? I've been trying to figure this problem out for a while now thanks.
 
Last edited:

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