In: Statistics and Probability
The random sample shown below was selected from a normal distribution.
3, 5, 9, 4, 6, 9
Complete parts a and b.
A. Construct a 95% confidence interval for the population mean μ .
(___,___)
B. Assume that sample mean x and sample standard deviation s remain exactly the same as those you just calculated but that are based on a sample of n = 25 observations. Repeat part a. What is the effect of increasing the sample size on the width of the confidence intervals
The confidence interval is (___,___)
What is the effect of the sample size on the width of the confidence interval
A. As the sample size increases, the width decreases.
B. As the sample size increases, the width increases.
C. As the sample size increases, the width stays the same.
A. Many ancient tombs were cut from limestone rock that contained uranium. Since most such tombs are not well-ventilated, they may contain radon gas. In one study, the radon levels in a sample of 12 tombs in a particular region were measured in becquerels per cubic meter (Bq/m3). For this data, assume that x(over-bar)= 3,611 Bq/m3 and s= 1,269 Bq/m3. Use this information to estimate, with 95% confidence, the mean level of radon exposure in tombs in the region. Interpret the resulting interval.
The confidence interval is (_,_)
A.
Sample mean, = (3 + 5 + 9 + 4 + 6 + 9)/6 = 6
Sample Variance = [(3 - 6)^2 + (5 - 6)^2 + (9 - 6)^2 + (4 - 6)^2 + (6 - 6)^2 + (9 - 6)^2 ]/(6 - 1) = 6.4
Sample Standard deviation, s = = 2.53
Standard error of mean , SE = 2.53 / = 1.033
Degree of freedom, df = n-1 = 6-1 = 5
Critical value of t at df = 5 and 95% confidence interval is 2.57
95% confidence interval for the population mean μ is,
(6 - 2.57 * 1.033 , 6 + 2.57 * 1.033)
(3.345, 8.655)
Confidence interval length = 8.655 - 3.345 = 5.31
B.
Standard error of mean , SE = 2.53 / = 0.506
Degree of freedom, df = n-1 = 25-1 = 24
Critical value of t at df = 24 and 95% confidence interval is 2.06
95% confidence interval for the population mean μ is,
(6 - 2.06 * 0.506 , 6 + 2.06 * 0.506)
(4.958, 7.042)
Confidence interval length = 7.042 - 4.958 = 2.084
A. As the sample size increases, the width decreases.
A.
Standard error of mean , SE = 1269 / = 366.3287
Degree of freedom, df = n-1 = 12-1 = 11
Critical value of t at df = 11 and 95% confidence interval is 2.20
95% confidence interval for the population mean μ is,
(3611 - 2.20 * 366.3287 , 3611 + 2.20 * 366.3287)
(2805.077, 4416.923)
There is a 95% chance that the confidence interval (2805.077, 4416.923) contains the true population mean radon levels measured in becquerels per cubic meter.