(Solved): The heights: 75.5 74.0 67.1 78.0 73.3 78.1 73.5 71.4 72.3 72.4 79.2 69.1 67.3 71.3 77.8 76.4 64.8 6 ...

The heights:

75.5
74.0
67.1
78.0
73.3
78.1
73.5
71.4
72.3
72.4
79.2
69.1
67.3
71.3
77.8
76.4
64.8
69.8
74.4
70.5
65.9
71.9
78.7
72.6
70.6
74.2
74.1
70.0
66.2
73.0
74.0
66.0
77.6
76.7
74.1
68.1
72.4
70.6
73.9
68.9
76.4
72.1
70.5
71.5
78.3
68.2
69.6
73.5
75.3
70.9

1. Conducting a one-sample t test What you'll learn about SPSS $${}^{?}$$ You'll learn how to conduct a single-sample t test. The context and the data A high school basketball coach wonders whether high school players in the state are the same height as high school basketball players who played 10 years ago. A survey from 10 years ago suggested that the average height for a high school basketball player in the state was 72 inches. He collects a random sample of heights among players playing in the current school year. To see the high school basketball coach's hypothetical data, download the following SPSS $${}^{?}$$ spreadsheet by clicking on the following words in bold: Download SPSS® File (ZIP file). (Note: Using Internet Explorer is not recommended when downloading SPSS $${}^{(1}$$ files.) The questions you will answer using SPSS $${}^{?}$$ Use SPSS $${}^{@}$$ to obtain a histogram of the heights. Considering the shape of the histogram, the single-sample t test appropriate. Assume that a single-sample $$\mathrm{t}$$ test is appropriate. Use SPSS $${}^{?}$$ to conduct a single-sample $$t$$ test to test the nondirectional null hypothesis $${\mathrm{H}}_0$$ : $$?=72$$. Using your output, complete the following statement of the results: The mean height for this sample of $$n=$$ incheights is with a significance level of $$a=0.05$$, the null hypothesis that the population mean is 72 is indicating there the heights among players playing in the current school year are different than they were among players playing 10 years ago.