The home run percentage is the number of home runs per 100 times at bat. A random sample of 43 professional baseball players gave the following data for home run percentages.
1.6 | 2.4 | 1.2 | 6.6 | 2.3 | 0.0 | 1.8 | 2.5 | 6.5 | 1.8 |
2.7 | 2.0 | 1.9 | 1.3 | 2.7 | 1.7 | 1.3 | 2.1 | 2.8 | 1.4 |
3.8 | 2.1 | 3.4 | 1.3 | 1.5 | 2.9 | 2.6 | 0.0 | 4.1 | 2.9 |
1.9 | 2.4 | 0.0 | 1.8 | 3.1 | 3.8 | 3.2 | 1.6 | 4.2 | 0.0 |
1.2 | 1.8 | 2.4 |
(a) Use a calculator with mean and standard deviation keys to find x and s. (Round your answers to two decimal places.)
x = | % |
s = | % |
(b) Compute a 90% confidence interval for the population mean
? of home run percentages for all professional baseball
players. Hint: If you use the Student's
tdistribution table, be sure to use the closest
d.f. that is smaller. (Round your answers to two
decimal places.)
lower limit | % |
upper limit | % |
(c) Compute a 99% confidence interval for the population mean
? of home run percentages for all professional baseball
players. (Round your answers to two decimal places.)
lower limit | % |
upper limit | % |
(A) Mean= (sum of all data values)/(number of data values)
setting the values, we get
mean = (1.6+2.4+...+1.8+2.4)/43 =98.6/43 = 2.29
Standard deviation =
setting the values, we get
standard deviation =
it gives, standard deviation = 1.40
(B) t critical value corresponding to 90% confidence level and degree of freedom = n-1 = 43-1 = 42
we get, t critical = 1.68
confidence interval formula is
CI =
where
setting the values in the above formula, we get
CI =
so, lower limit is 1.93 and upper limit is 2.65
(C) t critical value corresponding to 99% confidence level and degree of freedom = n-1 = 43-1 = 42
we get, t critical = 2.70
confidence interval formula is
CI =
where
setting the values in the above formula, we get
CI =
so, lower limit is 1.71 and upper limit is 2.87
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