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:
We'll use the properties of sampling distributions of sample means.
1. Mean:
"\\mu_{\\bar x} =\\mu=6."
Variance:
"\\sigma^2_{\\bar x}=\\cfrac{\\sigma^2}{n}=\\cfrac{2.4}{3}=0.8."
Standard deviation:
"\\sigma_{\\bar x}=\\cfrac{\\sigma}{\\sqrt n}=\\sqrt{\\sigma^2_{\\bar x}}=\\sqrt{0.8}=0.89."
2. Mean:
"\\mu_{\\bar x} =\\mu=20."
Variance:
"\\sigma^2_{\\bar x}=\\cfrac{\\sigma^2}{n}=\\cfrac{5.5}{25}=0.22."
Standard deviation:
"\\sigma_{\\bar x}=\\cfrac{\\sigma}{\\sqrt n}=\\sqrt{\\sigma^2_{\\bar x}}=\\sqrt{0.22}=0.47."
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