In: Statistics and Probability
An article presents a study of the failure pressures of roof panels. Following are the failure pressures, in kPa, for five panels constructed with 6d smooth shank nails. These data are consistent with means and standard deviations presented in the article. 3.32 2.52 3.45 2.38 3.01 Find a 95% confidence interval for the mean failure pressure for this type of roof panel. Round the answers to three decimal places. The 95% confidence interval is ( , ).
From the data:
= 2.936 kPa, s = 0.4742 Kpa
Since population standard deviation is unknown, we use t critical values.
The tcritical (2 tail) for
= 0.05, for df = n -1 = 4, is 2.7764
The Confidence Interval is given by
ME, where
The Lower Limit = 2.936 - 0.5887 = 2.3472
2.347 (Rounding to 3 decimal
places)
The Upper Limit = 2.936 + 0.5887 = 3.5248
3.525 (Rounding to 3 decimal
places)
The 95% Confidence Interval is (2.347 , 3.525)
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Calculation of mean and standard deviation of the sample
Mean = Sum of Observations/Total Observations
Standard Deviation = Sqrt(Variance), where Variance = Sum of Squares/(n - 1)
# | X | Mean | (x - mean)2 |
1 | 3.32 | 2.936 | 0.147456 |
2 | 2.52 | 2.936 | 0.173056 |
3 | 3.45 | 2.936 | 0.264196 |
4 | 2.38 | 2.936 | 0.309136 |
5 | 3.01 | 2.936 | 0.005476 |
Total | 14.68 | 0.89932 |
n | 5 |
Sum | 14.68 |
Average | 2.936 |
SS(Sum of squares) | 0.89932 |
Variance = SS/n-1 | 0.225 |
Std Dev=Sqrt(Variance) | 0.4742 |
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