A publisher wants to estimate the mean length of time? (in minutes) all adults spend reading newspapers. To determine this? estimate, the publisher takes a random sample of 15 people and obtains the results below. From past? studies, the publisher assumes standard deviation is 1.7 minutes and that the population of times is normally distributed.
9
10
6
8
11
7
10
8
7
12
12
11
9
9
9
Construct the? 90% and? 99% confidence intervals for the population mean. Which interval is? wider? If? convenient, use technology to construct the confidence intervals.
The? 90% confidence interval is
From the given data, the following statistics are calculated:
n = sample size = 15
= sample mean = 138/15 = 9.2
Given:
= Population SD = 1.7
SE =
/
= 1.7/
= 0.4389
(a)
= 0.10
From Table, critical values of Z =
1.645
90 % Confidence Interval:
Z SE
= 9.2
(1.645 X 0.4389)
= 9.2
0.7221
= (8.4779 , 9.9221)
The 90 % confidence interval is:
8.4779 <
< 9.9221
(b)
= 0.01
From Table, critical values of Z =
2.576
99 % Confidence Interval is:
9.2
(2.576 X 0.4389)
= 9.2
1.1306
= (8.0694 , 10.3306)
The 99 % Confidence Interval is:
8.0694 <
< 10.3306
(c)
99 % Confidence Interval is wider.
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