lation, we Rhow that apPproximately with any given mearn 68% of the observations fall within one standard deviation of the mean 95% of the observations fall within two standard deviations of the mean 99.7% of the observations fall within 3 standard deviations of the mean. This is sometimes called the 68-95-99.7 Empirical Rule-of-Thumb. Jsing the 68-95-99.7 Empirical Rule-of-Thumb, answer the following questions. No partial credit will be given for using any other method. . If a population has mean 100 and standard deviation 20, what is the mean of the sampling distribution of sample size n = 25? . If a population has mean 100 and standard deviation 20, what is the standard deviation of the sampling distribution of sample size n = 25? . A given exam has a normal distribution with a mean of 70 and a standard deviation of 10. A sample of size 25 is selected. What percentage of the time wor expect the mean of this sample size to fall between 66 and 74?

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In the normal distribution with any given mean and standard deviation, we know that approximately
68% of the observations fall within one standard deviation of the mean
95% of the observations fall within two standard deviations of the mean
99.7% of the observations fall within 3 standard deviations of the mean.
This is sometimes called the 68-95-99.7 Empirical Rule-of-Thumb.
Using the 68-95-99.7 Empirical Rule-of-Thumb, answer the following questions. No partial credit will be given for using any other method.
a. If a population has mean 100 and standard deviation 20, what is the mean of the sampling distribution of sample size n = 25?
b. If a population has mean 100 and standard deviation 20, what is the standard deviation of the sampling distribution of sample size n = 25?
c. A given exam has a normal distribution with a mean of 70 and a standard deviation of 10. A sample of size 25 is selected. What percentage of the time would you
expect the mean of this sample size to fall between 66 and 74?
d. A given exam has a normal distribution with a mean of 70 and a standard deviation of 10. A sample of size 25 is selected. What percentage of the time would you
expect the mean of this sample size to be less than 70?
%
e. A given exam has a normal distribution with a mean of 70 and a standard deviation of 10. A sample of size 25 is selected. What percentage of the time would you
expect the mean of this sample size to be greater than 68?
%
Transcribed Image Text:In the normal distribution with any given mean and standard deviation, we know that approximately 68% of the observations fall within one standard deviation of the mean 95% of the observations fall within two standard deviations of the mean 99.7% of the observations fall within 3 standard deviations of the mean. This is sometimes called the 68-95-99.7 Empirical Rule-of-Thumb. Using the 68-95-99.7 Empirical Rule-of-Thumb, answer the following questions. No partial credit will be given for using any other method. a. If a population has mean 100 and standard deviation 20, what is the mean of the sampling distribution of sample size n = 25? b. If a population has mean 100 and standard deviation 20, what is the standard deviation of the sampling distribution of sample size n = 25? c. A given exam has a normal distribution with a mean of 70 and a standard deviation of 10. A sample of size 25 is selected. What percentage of the time would you expect the mean of this sample size to fall between 66 and 74? d. A given exam has a normal distribution with a mean of 70 and a standard deviation of 10. A sample of size 25 is selected. What percentage of the time would you expect the mean of this sample size to be less than 70? % e. A given exam has a normal distribution with a mean of 70 and a standard deviation of 10. A sample of size 25 is selected. What percentage of the time would you expect the mean of this sample size to be greater than 68? %
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