Question #322886

A. Find the mean (𝝁𝑿), variance (𝝈 𝑿

𝟐) and standard deviation (𝝈𝑿) of the sampling distribution of the means given the sample size, and the means and variances of the population. Sample size n were randomly selected from the population.


1. 𝑛 = 3

𝜇 = 6

𝜎² = 2.4

Mean:


Variance:


Standard Deviation:


2. 𝑛 = 25

𝜇 = 20

𝜎² = 5.5

Mean:


Variance:


Standard Deviation:


1
Expert's answer
2022-04-05T07:09:35-0400

We'll use the properties of sampling distributions of sample means.


1. Mean:

μxˉ=μ=6.\mu_{\bar x} =\mu=6.

Variance:

σxˉ2=σ2n=2.43=0.8.\sigma^2_{\bar x}=\cfrac{\sigma^2}{n}=\cfrac{2.4}{3}=0.8.

Standard deviation:

σxˉ=σn=σxˉ2=0.8=0.89.\sigma_{\bar x}=\cfrac{\sigma}{\sqrt n}=\sqrt{\sigma^2_{\bar x}}=\sqrt{0.8}=0.89.


2. Mean:

μxˉ=μ=20.\mu_{\bar x} =\mu=20.

Variance:

σxˉ2=σ2n=5.525=0.22.\sigma^2_{\bar x}=\cfrac{\sigma^2}{n}=\cfrac{5.5}{25}=0.22.

Standard deviation:

σxˉ=σn=σxˉ2=0.22=0.47.\sigma_{\bar x}=\cfrac{\sigma}{\sqrt n}=\sqrt{\sigma^2_{\bar x}}=\sqrt{0.22}=0.47.

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