QNT275-The width of a confidence interval depends on the size

QNT275-The width of a confidence interval depends on the size

Subject: Mathematics    / Statistics
Question

1. The width of a confidence interval depends on the size of the:
A    population mean
B    margin of error
C    sample mean
D    none of these

2. A sample of size 74 from a population having standard deviation?= 53 produced a mean of 241.00.

The 95% confidence interval for the population mean (rounded to two decimal places) is:

The lower limit is _____

The upper limit is _____

3.The null hypothesis is a claim about a:
A    statistic, where the claim is assumed to be false until it is declared true
B    statistic, where the claim is assumed to be true until it is declared false
C    population parameter, where the claim is assumed to be true until it is declared false
D    population parameter, where the claim is assumed to be false until it is declared true

4. The alternative hypothesis is a claim about a:
A    population parameter, where the claim is assumed to be true if the null hypothesis is declared false
B    population parameter, where the claim is assumed to be true until it is declared false
C    statistic, where the claim is assumed to be true if the null hypothesis is declared false
D    statistic, where the claim is assumed to be false until it is declared true

5. In a one-tailed hypothesis test, a critical point is a point that divides the area under the sampling distribution of a:
A    population parameter into two rejection regions and one nonrejection region
B    statistic into one rejection region and two nonrejection regions
C    statistic into one rejection region and one nonrejection region
D    population parameter into one rejection region and one nonrejection region

6. In a two-tailed hypothesis test, the two critical points are the points that divide the area under the sampling distribution of a:
A    statistic into two rejection regions and one nonrejection region
B    population parameter into one rejection region and one nonrejection region
C    statistic into one rejection region and two nonrejection regions
D    population parameter into two rejection regions and one nonrejection region

7. In a hypothesis test, a Type I error occurs when:
A    a false null hypothesis is not rejected
B    a true null hypothesis is rejected
C    a false null hypothesis is rejected
D    a true null hypothesis is not rejected

8. In a hypothesis test, a Type II error occurs when:
A    a false null hypothesis is not rejected
B    a false null hypothesis is rejected
C    a true null hypothesis is not rejected
D    a true null hypothesis is rejected

9. In a hypothesis test, the probability of committing a Type I error is called the:
A    confidence level
B    confidence interval
C    significance level
D    beta error