In: Statistics and Probability
A randomly selected sample of college basketball players has the following heights in inches. 63, 62, 71, 63, 63, 63, 69, 61, 68, 64, 62, 62, 65, 69, 69, 71, 66, 62, 63, 64, 66, 61, 63, 67, 65, 64, 63, 61, 68, 68, 67, 62. Compute a 93% confidence interval for the population mean height of college basketball players based on this sample and fill in the blanks appropriately.
For the confidence interval, we first obtain the sample mean and sample standard deviation here as:
X | X - Mean(X) | (X - Mean(X))^2 |
63 | -1.84375 | 3.399414063 |
62 | -2.84375 | 8.086914063 |
71 | 6.15625 | 37.89941406 |
63 | -1.84375 | 3.399414063 |
63 | -1.84375 | 3.399414063 |
63 | -1.84375 | 3.399414063 |
69 | 4.15625 | 17.27441406 |
61 | -3.84375 | 14.77441406 |
68 | 3.15625 | 9.961914063 |
64 | -0.84375 | 0.711914063 |
62 | -2.84375 | 8.086914063 |
62 | -2.84375 | 8.086914063 |
65 | 0.15625 | 0.024414063 |
69 | 4.15625 | 17.27441406 |
69 | 4.15625 | 17.27441406 |
71 | 6.15625 | 37.89941406 |
66 | 1.15625 | 1.336914063 |
62 | -2.84375 | 8.086914063 |
63 | -1.84375 | 3.399414063 |
64 | -0.84375 | 0.711914063 |
66 | 1.15625 | 1.336914063 |
61 | -3.84375 | 14.77441406 |
63 | -1.84375 | 3.399414063 |
67 | 2.15625 | 4.649414063 |
65 | 0.15625 | 0.024414063 |
64 | -0.84375 | 0.711914063 |
63 | -1.84375 | 3.399414063 |
61 | -3.84375 | 14.77441406 |
68 | 3.15625 | 9.961914063 |
68 | 3.15625 | 9.961914063 |
67 | 2.15625 | 4.649414063 |
62 | -2.84375 | 8.086914063 |
2075 | 280.21875 |
The sample mean and sample standard deviation here are computed as:
For n - 1 = 31 degrees of freedom, we have from the t distribution tables here:
P( t31 < 1.877) = 0.965
Therefore, due to symmetry, we have here:
P( -1.877 < t31 < 1.877) = 0.93
Now the confidence interval here is obtained as:
This is the required 93% confidence interval for the population mean height here.