In: Statistics and Probability
Dr. Mack Lemore, an expert in consumer behavior, wants to estimate the average amount of money that people spend in thrift shops. He takes a small sample of 8 individuals and asks them to report how much money they had in their pockets the last time they went shopping at a thrift store. Here are the data: 12, 31, 17, 18, 22, 36, 15, 13. Find the upper bound of a 95% confidence interval for the true mean amount of money individuals carry with them to thrift stores, to two decimal places. Take all calculations toward the final answer to three decimal places.
Solution:
x | x2 |
12 | 144 |
31 | 961 |
17 | 289 |
18 | 324 |
22 | 484 |
36 | 1296 |
15 | 225 |
13 | 169 |
x=164 | x2=3892 |
The sample mean is
Mean = (x / n) )
= (12 + 31 + 17+ 18 +22 +36 + 15 +17 / 8 )
= 164 / 8
= 20.5
Mean = 20.5
The sample standard is S
S = ( x2 ) - (( x)2 / n ) n -1
= (3892 ( (164 )2 / 8 ) 7
= ( 3892- 3362 /7)
= (530 / 7 )
= 75.7143
= 8.7014
The sample standard is 8.70
Degrees of freedom = df = n - 1 = 8 - 1 = 7
At 95% confidence level the t is ,
= 1 - 95% = 1 - 0.95 = 0.05
/ 2 = 0.05 / 2 = 0.025
t /2,df = t0.025,7 = 2.365
Margin of error = E = t/2,df * (s /n)
= 2.365 * (8.70 / 8 )
= 7.274
Margin of error =7.274
The 95% confidence interval estimate of the population mean is,
- E < < + E
20.5 - 7.274 < < 20.5 +7.274
13.225 < < 27.774
(13.225, 27.774 )