In: Statistics and Probability
You are interested in finding a 90% confidence interval for the mean number of visits for physical therapy patients. The data below show the number of visits for 13 randomly selected physical therapy patients. Round answers to 3 decimal places where possible. 19 19 14 13 26 19 5 14 17 27 13 20 28 a. To compute the confidence interval use a distribution. b. With 90% confidence the population mean number of visits per physical therapy patient is between and visits. c. If many groups of 13 randomly selected physical therapy patients are studied, then a different confidence interval would be produced from each group. About percent of these confidence intervals will contain the true population mean number of visits per patient and about percent will not contain the true population mean number of visits per patient
Solution:
x | x2 |
19 | 361 |
19 | 361 |
14 | 196 |
13 | 169 |
26 | 676 |
19 | 361 |
5 | 25 |
14 | 196 |
17 | 289 |
27 | 729 |
13 | 169 |
20 | 400 |
28 | 784 |
∑x=234 | ∑x2=4716 |
Mean ˉx=∑xn
=19+19+14+13+26+19+5+14+17+27+13+20+28/13
=23413
=18
Sample Standard deviation S=√∑x2-(∑x)2nn-1
=√4716-(234)213/12
=√4716-4212/12
=√504/12
=√42
=6.4807
Degrees of freedom = df = n - 1 = 13 - 1 = 12
At 90% confidence level the z is ,
= 1 - 90% = 1 - 0.90 = 0.10
/ 2 = 0.10 / 2 = 0.05
t /2,df = t0.05,12 =1.782
Margin of error = E = t/2,df * (s /n)
= 1.782 * (6.481 / 13)
= 3.204
Margin of error = 3.204
The 90% confidence interval estimate of the population mean is,
- E < < + E
18 - 3.204 < < 18 + 3.204
14.796 < < 21.204
(14.796, 21.204 )