Direction: Solve the following problems. 1. Consider all samples of size 4 from this population: 6 8 10 12 13 What is the mean and standard deviation of the Sampling Distribution?

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Direction: Solve the following problems.
1. Consider all samples of size 4 from this population: 6 8 10 12 13
What is the mean and standard deviation of the Sampling Distribution?
2. Given the population 1, 3, 4, 6, and 8. Suppose 3 samples of size 3 are drawn from this
population. What is the mean and standard deviation of the Sampling Distribution?
3. A random sample of n=100 measurements is obtained from a population of N=120, with
µ=55 and o=20. Describe the sampling distribution of sample means by computing the µg and
4. Mang Renato's ice cream machine serves about 220 ice creams daily, with an average of
315.45 ml each serving. The machine has some variability so the standard deviation of the
serving is 3.67 ml. A sample of 10 ice creams is inspected. What are the mean and standard
deviation of this sampling distribution?
5. A random sample of n=100 measurements is obtained from a population with µ=55 and
o=20. Describe the sampling distribution of sample means by computing the Hg and og.
Transcribed Image Text:Direction: Solve the following problems. 1. Consider all samples of size 4 from this population: 6 8 10 12 13 What is the mean and standard deviation of the Sampling Distribution? 2. Given the population 1, 3, 4, 6, and 8. Suppose 3 samples of size 3 are drawn from this population. What is the mean and standard deviation of the Sampling Distribution? 3. A random sample of n=100 measurements is obtained from a population of N=120, with µ=55 and o=20. Describe the sampling distribution of sample means by computing the µg and 4. Mang Renato's ice cream machine serves about 220 ice creams daily, with an average of 315.45 ml each serving. The machine has some variability so the standard deviation of the serving is 3.67 ml. A sample of 10 ice creams is inspected. What are the mean and standard deviation of this sampling distribution? 5. A random sample of n=100 measurements is obtained from a population with µ=55 and o=20. Describe the sampling distribution of sample means by computing the Hg and og.
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