Stat

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 |...