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Given the population 2, 3, 6, 8, 11, N=5, n=2, sampling with replacement, calculate the population mean, population standard deviation, and the mean of the sampling distribution of means.

Mathematics

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Answers

4 parts
i
6
ii
3.29
iv
2.32

Step-by-step solution

7 steps

Here are the solutions to your questions:

The population consists of the numbers 2,3,6,8,112, 3, 6, 8, 11.
The population size is N=5N = 5.
The sample size is n=2n = 2.
Sampling is done with replacement.

Part i· 2 steps

The mean of the population (μ\mu)

  1. Sum all the values in the population.

    ∑x=2+3+6+8+11=30\sum x = 2 + 3 + 6 + 8 + 11 = 30
  2. Divide the sum by the number of values in the population (NN).

    μ=∑xN=305=6\mu = \frac{\sum x}{N} = \frac{30}{5} = 6

    The mean of the population is 6\boxed{6}.

Part ii3.29

The standard deviation of the population (σ\sigma)

  1. Calculate the squared difference between each population value and the population mean (μ=6\mu=6).

    (x−μ)2(x - \mu)^2 (2−6)2=(−4)2=16(2 - 6)^2 = (-4)^2 = 16 (3−6)2=(−3)2=9(3 - 6)^2 = (-3)^2 = 9 (6−6)2=(0)2=0(6 - 6)^2 = (0)^2 = 0 (8−6)2=(2)2=4(8 - 6)^2 = (2)^2 = 4 (11−6)2=(5)2=25(11 - 6)^2 = (5)^2 = 25
  2. Sum these squared differences.

    ∑(x−μ)2=16+9+0+4+25=54\sum (x - \mu)^2 = 16 + 9 + 0 + 4 + 25 = 54
  3. Divide the sum by the population size (NN) and take the square root.

    σ=∑(x−μ)2N=545=10.8\sigma = \sqrt{\frac{\sum (x - \mu)^2}{N}} = \sqrt{\frac{54}{5}} = \sqrt{10.8} σ≈3.286\sigma \approx 3.286

    The standard deviation of the population is 3.29\boxed{3.29}.

Part iii6

The mean of the sampling distribution of means (μxˉ\mu_{\bar{x}})

  1. For sampling with replacement, the mean of the sampling distribution of means is equal to the population mean.

    μxˉ=μ\mu_{\bar{x}} = \mu μxˉ=6\mu_{\bar{x}} = 6

    The mean of the sampling distribution of means is 6\boxed{6}.

Part iv2.32

The standard deviation of the sampling distribution of means (σxˉ\sigma_{\bar{x}})

  1. Use the formula for the standard error of the mean for sampling with replacement.

    σxˉ=σn\sigma_{\bar{x}} = \frac{\sigma}{\sqrt{n}}

    Where σ=10.8\sigma = \sqrt{10.8} (from part ii) and n=2n = 2.

    σxˉ=10.82=10.82=5.4\sigma_{\bar{x}} = \frac{\sqrt{10.8}}{\sqrt{2}} = \sqrt{\frac{10.8}{2}} = \sqrt{5.4} σxˉ≈2.324\sigma_{\bar{x}} \approx 2.324

    The standard deviation of the sampling distribution of means is 2.32\boxed{2.32}.

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