# Stat 200 Exam 2 Essay

5065 Words Nov 22nd, 2012 21 Pages
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Top of Form

Points Awarded | 34.00 | Points Missed | 6.00 | Percentage | 85.0% |

1.
The level of significance associated with a significance test is the probability
A) of rejecting a true null hypothesis.
B) of not rejecting a true null hypothesis.
C) that the null hypothesis is true.
D) that the alternative hypothesis is true.

Feedback: This level of significance, commonly set to α equal to 0.05, is used to set the cut-off as the maximum probability a researcher would use in order to reject a true null hypothesis. Points Earned: | 1.0/1.0 | | Correct Answer(s): | A |

2.
A null hypothesis is that the average pulse rate of adults is 70. For a
C) Values of a parameter will vary according to the sampling distribution for that parameter.
D) Values of a statistic will vary according to the sampling distribution for that statistic.

Feedback: The population parameter does not vary, however, the values of the statistic will vary based on the sampling distribution of that statistic Points Earned: | 1.0/1.0 | | Correct Answer(s): | D |

11.
For a random sample of 10 men, the mean head circumference is x = 57.3 cm and the sample standard deviation is s = 2 cm. The standard error of the sample mean is
A) 0.200
B) 0.447
C) 0.500
D) 0.632

Feedback: The standard error equals S/Sq.Rt. of N = 2/3.16 = 0.632 Points Earned: | 1.0/1.0 | | Correct Answer(s): | D |

12.
Suppose that a 95% confidence interval for the proportion of first-year students at a school who played in intramural sports is 35% plus or minus 5%. The margin of error for the confidence interval is
A) 5%
B) 35%
C) 95%

Feedback: "plus or minus" indicates the margin of error which is 5% Points Earned: | 1.0/1.0 | | Correct Answer(s): | A |

13.
In a past General Social Survey, a random sample of men and women answered the question "Are you a member of any sports groups?" Based on the sample data, 95% confidence intervals for the population proportion who would answer yes are 0.13 to 0.19 for women and 0.25 to 0.33 for men. Based on these results, you can reasonably conclude that
A) at least 25%

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