Current Attempt in Progress
Construct 90%, 95%, and 99% confidence intervals to estimate μ from the following data. State the point estimate. Assume the data come from a normally distributed population.
13.3 | 11.6 | 11.9 | 13.1 | 12.5 | 11.4 | 12.0 |
11.7 | 11.8 | 13.3 |
Appendix A Statistical Tables
(Round the intermediate values to 4 decimal places.
Round your answers to 2 decimal places.)
90% confidence interval: enter the lower limit of the 90%
confidence interval ≤ μ ≤ enter the upper limit
of the 90% confidence interval
95% confidence interval: enter the lower limit of the 95%
confidence interval ≤ μ ≤ enter the upper limit
of the 95% confidence interval
99% confidence interval: enter the lower limit of the 99%
confidence interval ≤ μ ≤ enter the upper limit
of the 99% confidence interval
The point estimate is enter the point estimate .
Values ( X ) | Σ ( Xi- X̅ )2 | |
13.3 | 1.0816 | |
11.6 | 0.4356 | |
11.9 | 0.1296 | |
13.1 | 0.7056 | |
12.5 | 0.0576 | |
11.4 | 0.7396 | |
12 | 0.0676 | |
11.7 | 0.3136 | |
11.8 | 0.2116 | |
13.3 | 1.0816 | |
Total | 122.6 | 4.824 |
Mean X̅ = Σ Xi / n
X̅ = 122.6 / 10 = 12.26
Sample Standard deviation SX = √ ( (Xi - X̅ )2 / n - 1
)
SX = √ ( 4.824 / 10 -1 ) = 0.7321
Point Estimate X̅ = 12.26
Part a)
Confidence Interval
X̅ ± t(α/2, n-1) S/√(n)
t(α/2, n-1) = t(0.1 /2, 10- 1 ) = 1.833
12.26 ± t(0.1/2, 10 -1) * 0.7321/√(10)
Lower Limit = 12.26 - t(0.1/2, 10 -1) 0.7321/√(10)
Lower Limit = 11.8356 ≈ 11.84
Upper Limit = 12.26 + t(0.1/2, 10 -1) 0.7321/√(10)
Upper Limit = 12.6844 ≈ 12.68
90% Confidence interval is ( 11.84 , 12.68 )
Part b)
Confidence Interval
X̅ ± t(α/2, n-1) S/√(n)
t(α/2, n-1) = t(0.05 /2, 10- 1 ) = 2.262
12.26 ± t(0.05/2, 10 -1) * 0.7321/√(10)
Lower Limit = 12.26 - t(0.05/2, 10 -1) 0.7321/√(10)
Lower Limit = 11.7363 ≈ 11.74
Upper Limit = 12.26 + t(0.05/2, 10 -1) 0.7321/√(10)
Upper Limit = 12.7837 ≈ 12.78
95% Confidence interval is ( 11.74 , 12.78 )
Part c)
Confidence Interval
X̅ ± t(α/2, n-1) S/√(n)
t(α/2, n-1) = t(0.01 /2, 10- 1 ) = 3.25
12.26 ± t(0.01/2, 10 -1) * 0.7321/√(10)
Lower Limit = 12.26 - t(0.01/2, 10 -1) 0.7321/√(10)
Lower Limit = 11.5076 ≈ 11.51
Upper Limit = 12.26 + t(0.01/2, 10 -1) 0.7321/√(10)
Upper Limit = 13.0124 ≈ 13.01
99% Confidence interval is ( 11.51 , 13.01 )
Current Attempt in Progress Construct 90%, 95%, and 99% confidence intervals to estimate μ from the...
Construct 90%, 95%, and 99% confidence intervals to estimate
μ from the following data. State the point estimate.
Assume the data come from a normally distributed
population.
12.1
11.6
11.9
12.3
12.5
11.4
12.0
11.7
11.8
12.1
Appendix A Statistical Tables
(Round the intermediate values to 4 decimal places.
Round your answers to 2 decimal places.)
90% confidence interval:
≤ μ ≤
95% confidence interval:
≤ μ ≤
99% confidence interval:
≤ μ ≤
The point estimate is
.
Construct 90%, 95%, and 99% confidence intervals to estimate μ from the following data. State the point estimate. Assume the data come from a normally distributed population. 13.4 11.6 11.9 12.9 12.5 11.4 12.0 11.7 11.8 13.4 (Round the intermediate values to 4 decimal places. Round your answers to 2 decimal places.) 90% confidence interval: ______ ≤ μ ≤ ______ 95% confidence interval: ______ ≤ μ ≤ ______ 99% confidence interval: ______ ≤ μ ≤ ______ The point estimate is...
Construct 90%, 95%, and 99% confidence intervals to estimate μ from the following data. State the point estimate. Assume the data come from a normally distributed population. 13.1 11.6 11.9 13.0 12.5 11.4 12.0 11.7 11.8 13.1
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