Question #255014
Lesson Activity: A. A population consists of the numbers 2, 4, 8, 10 and 5. Let us list all the possible samples of size 3 from this population and construct the sampling distribution of the sample mean. B. Complete the statement by filling in the blank. Write your answer on a separate sheet of paper. A ___________ is a frequency distribution using the means computed from all possible random samples of a specific size taken from a population. To get the possible samples use the formula ______, where N is the ________ and n is the ____ size to be taken. The total probability of the sample mean must be equal to ____.
1
Expert's answer
2021-10-25T03:10:53-0400

Since the size of the population is N=5N=5 sample sizes of n=3n=3 are to be drawn from this population then, there are (Nn)=(53)=5!/(3!2!)=10\binom{N}{n}=\binom{5}{3}=5!/(3!*2!)=10 possible samples that can be drawn.

The possible samples and their respective sample means are given below.

The sample means are derived using the formula below,

xˉ=(x)/n\bar{x}=\sum(x)/n where xx are the data values for each sample and n=3n=3 for each sample.


samplesample xˉ\bar{x}

2,4,8 (2+4+8)/3=4.67

2,4,10 (2+4+10)/3=5.33

2,4,5 (2+4+5)/3=3.67

2,8,10 (2+8+10)/3=6.67

2,8,5 (2+8+5)/3=5

2,10,5 (2+10+5)/3=5.67

4,8,10 (4+8+10)/3=7.33

4,8,5 (4+8+5)/3=5.67

4,10,5 (4+10+5)/3=6.33

8,10,5 (8+10+5)/3=7.67

Since we are drawing at random, each sample will have the same probability of being chosen. Therefore probabilities for these sample means are,

p(xˉ=4.67)=1/10p(\bar{x}=4.67)=1/10

p(xˉ=5.33)=1/10p(\bar{x}=5.33)=1/10

p(xˉ=3.67)=1/10p(\bar{x}=3.67)=1/10

p(xˉ=6.67)=1/10p(\bar{x}=6.67)=1/10

p(xˉ=5)=1/10p(\bar{x}=5)=1/10

p(xˉ=5.67)=1/5p(\bar{x}=5.67)=1/5

p(xˉ=7.33)=1/10p(\bar{x}=7.33)=1/10

p(xˉ=6.33)=1/10p(\bar{x}=6.33)=1/10

p(xˉ=7.67)=1/10p(\bar{x}=7.67)=1/10


A sampling distributionsampling\space distribution is a frequency distribution using the means computed from all possible random samples of a specific size taken from a population. To get the possible samples use the formula (Nn)=N!/(n!(Nn)!)\binom{N}{n}=N!/(n!*(N-n)!), where NN is the population sizepopulation\space size and nn is the samplesample size to be taken. The total probability of the sample mean must be equal to 11


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