Male Height In the United States, the population mean height for 3-year-old boys is 38 inches http://www .kidsgrowth .com . Suppose a random sample of 15 non-U.S. 3-year-old boys showed a sample mean of 37.2 inches with a standard deviation of 3 inches. The boys were independently sampled. Assume that heights are Normally distributed in the population. a. Determine whether the population mean for non-U.S. boys is significantly different from the U.S. population mean. Use a significance level of 0.05 . b. Now suppose the sample consists of 30 boys instead of 15, and repeat the test. c. Explain why the t -values and p-values for parts a and b are different.
Male Height In the United States, the population mean height for 3-year-old boys is 38 inches http://www .kidsgrowth .com . Suppose a random sample of 15 non-U.S. 3-year-old boys showed a sample mean of 37.2 inches with a standard deviation of 3 inches. The boys were independently sampled. Assume that heights are Normally distributed in the population. a. Determine whether the population mean for non-U.S. boys is significantly different from the U.S. population mean. Use a significance level of 0.05 . b. Now suppose the sample consists of 30 boys instead of 15, and repeat the test. c. Explain why the t -values and p-values for parts a and b are different.
Solution Summary: The author explains how to perform a paired sample t-test using the MINITAB software.
Male Height In the United States, the population mean height for 3-year-old boys is 38 inches
http://www
.kidsgrowth
.com
. Suppose a random sample of 15 non-U.S. 3-year-old boys showed a sample mean of
37.2
inches with a standard deviation of 3 inches. The boys were independently sampled. Assume that heights are Normally distributed in the population.
a. Determine whether the population mean for non-U.S. boys is significantly different from the U.S. population mean. Use a significance level of
0.05
.
b. Now suppose the sample consists of 30 boys instead of 15, and repeat the test.
c. Explain why the
t
-values
and
p-values
for parts a and b are different.
Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.
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