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A population has a standard deviation of 25. A random sample of 125 items from this population is selected. The sample mean is determined to be 325. At 95% confidence, the margin of error is


A) 2.24.
B) 5.
C) 4.38.
D) 11.18.

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In order to estimate the average time spent per student on the computer terminals at a local university, data were collected for a sample of 64 business students over a one-week period. Assume the population standard deviation is 1.6 hours. If the sample mean is 9 hours, then the 95% confidence interval is _____ hours.


A) 7.04 to 10.96
B) 7.36 to 10.64
C) 7.80 to 10.20
D) 8.608 to 9.392

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We can use the normal distribution to make confidence interval estimates for the population proportion, p, when​


A) ​np > 5.
B) ​n(1 - p) > 5.
C) ​p has a normal distribution.
D) ​both np > 5 and n(1 - p) > 5.

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The z value for a 97.8% confidence interval estimation is


A) 2.02.
B) 1.96.
C) 2.00.
D) 2.29.

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The use of the normal probability distribution as an approximation of the sampling distribution of The use of the normal probability distribution as an approximation of the sampling distribution of   is based on the condition that both np and n(1 - p)  equal or exceed​ A)  ​.05. B)  ​5. C)  ​10. D)  ​30. is based on the condition that both np and n(1 - p) equal or exceed​


A) ​.05.
B) ​5.
C) ​10.
D) ​30.

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To compute the necessary sample size for an interval estimate of a population proportion, all of the following procedures are recommended when p is unknown except​


A) ​use the sample proportion from a previous study.
B) ​use the sample proportion from a preliminary sample.
C) ​use 1.0 as an estimate.
D) ​use judgment or a best guess.

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In interval estimation, as the sample size becomes larger, the interval estimate


A) becomes narrower.
B) becomes wider.
C) remains the same, because the mean is not changing.
D) gets closer to 1.96.

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A random sample of 49 statistics examinations was taken. The average score, in the sample, was 84 with a variance of 12.25. The 95% confidence interval for the average examination score of the population of the examinations is


A) 83.45 to 84.55.
B) 80.07 to 87.93.
C) 83.29 to 84.71.
D) 80.5 to 87.5.

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From a population with a variance of 484, a sample of 256 items is selected. At 95% confidence, the margin of error is


A) 16.
B) 1.375.
C) 2.695.
D) 22.

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For a given confidence level and when σ is known, the margin of error in a confidence interval estimate


A) ​varies from sample to sample of the same size.
B) ​is the same for all samples of the same size.
C) ​increases as the sample size increases.
D) ​is independent of sample size.

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The degrees of freedom associated with a t distribution are a function of the​


A) ​area in the upper tail.
B) ​sample standard deviation.
C) ​confidence coefficient.
D) ​sample size.

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In a random sample of 100 observations, In a random sample of 100 observations,   = .2. The 95% confidence interval for p is A)  .1342 to .2658. B)  .15 to .25. C)  0 to .4. D)  .1216 to .2784. = .2. The 95% confidence interval for p is


A) .1342 to .2658.
B) .15 to .25.
C) 0 to .4.
D) .1216 to .2784.

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In general, higher confidence levels provide


A) wider confidence intervals.
B) narrower confidence intervals.
C) a smaller standard error.
D) unbiased estimates.

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As the degrees of freedom increase, the t distribution approaches the _____ distribution.


A) uniform
B) normal
C) exponential
D) p

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A random sample of 25,000 ACT test takers had an average score of 21 with a standard deviation of 5. What is the 95% confidence interval of the population mean?


A) 4.9723 to 5.0277
B) 4.9380 to 5.0620
C) 4.7397 to 5.2603
D) 4.9432 to 5.0568

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From a population that is not normally distributed and whose standard deviation is not known, a sample of 6 items is selected to develop an interval estimate for the mean of the population (μ) .


A) The normal distribution can be used.
B) The t distribution with 5 degrees of freedom must be used.
C) The t distribution with 6 degrees of freedom must be used.
D) The sample size must be increased.

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When the level of confidence decreases, the margin of error


A) stays the same.
B) becomes smaller.
C) becomes larger.
D) becomes smaller or larger, depending on the sample mean.

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As the number of degrees of freedom for a t distribution increases, the difference between the t distribution and the standard normal distribution


A) becomes larger.
B) becomes smaller.
C) stays the same.
D) fluctuates.

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As the sample size increases, the margin of error


A) increases.
B) decreases.
C) stays the same.
D) fluctuates depending on the mean.

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A 95% confidence interval for a population mean is determined to be 100 to 120. For the same data, if the confidence coefficient is reduced to .90, the confidence interval for μ


A) becomes narrower.
B) becomes wider.
C) does not change.
D) becomes 100.1 to 120.1.

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