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Date Submitted: 01/05/2016 07:51 AM
Chapter 8:
8-4 pg 399 (CI)
Part A. Random Sample generated n=25 Proportion(1) |
0.6 |
0.72 |
0.76 |
0.35 |
0.1 |
0.03 |
0.96 |
0.74 |
0.91 |
0.77 |
0.79 |
0.09 |
0.32 |
0.45 |
0.69 |
0.38 |
0.87 |
0.5 |
0.79 |
0.14 |
0.67 |
0.61 |
0.08 |
0.59 |
0.93 |
| Part B. random sample n=25 | Proportion(1) |
Conf. Intervals (One-Sample) | Data Set #2 |
Sample Size | 25 |
Sample Mean | 0.5536 |
Sample Std Dev | 0.2934 |
Confidence Level (Mean) | 95.0% |
Degrees of Freedom | 24 |
Lower Limit | 0.4325 |
Upper Limit | 0.6747 |
Confidence Level (Std Dev) | 95.0% |
Degrees of Freedom | 24 |
Lower Limit | 0.2291 |
Upper Limit | 0.4082 |
population | Proportion |
Conf. Intervals (One-Sample) | Data Set #1 |
Sample Size | 500 |
Sample Mean | 0.5025 |
Sample Std Dev | 0.2833 |
Confidence Level (Mean) | 95.0% |
Degrees of Freedom | 499 |
Lower Limit | 0.4776 |
Upper Limit | 0.5274 |
Confidence Level (Std Dev) | 95.0% |
Degrees of Freedom | 499 |
Lower Limit | 0.2668 |
Upper Limit | 0.3020 |
|
Part C.The quality control department manager can say, with 95% confidence that the mean proportion of defective items over all monthly shipments to be somewhere between 0.447 and 0.7029. | Part D. Population Mean = 0.5052 with n=500. The 95% confidence interval contains the actual pop mean of 0.5025. This states that there is 95 percent/proportion of many similarly constructed CI should include the true population mean.Given the data in a particular sample, about 95% of the resulting confidence intervals, of many similarly constructed C.I.) will include the population mean and only about 5% wont if the same random sampling procedure is used. |
8-21 pg 411 (CI:proportion)
Part A and B:
| Work Hours |
Conf. Intervals (One-Sample) | Data Set #1 |
Sample Size | 50 |
Sample Mean | 48.340 |
Sample Std Dev | 6.942 |
Confidence Level (Mean) | 95.0% |
Degrees of Freedom | 49 |...