**1.**The mean of the sampling distribution of the sample mean is:Equal to the mean of the population An approximation of the mean of the population Not a good estimate of the population mean Equal to the population mean divided by n None of the above

**2.**A 99% confidence interval can be interpreted as:In 99% of the samples, the mean of the samples will be outside the interval There is a 1% chance that the true parameter value is outside the interval 99% of all population values are within the interval Both A and B None of the above

**3.**Upper and lower interval limits for a 90% confidence interval for m are, respectively, 180 cm and 220 cm. We would infer from these limits a __________ likelihood that __________.5%; m is no more than 220 cm 95%; m is no more than 180 cm 90%; the interval from 180 cm to 220 cm contains the true population mean m Only A and B are correct A, B & C are correct

**4.**When the sample size increases, everything else remaining the same, the width of a confidence interval for a population parameter will:Increase Decrease Remain unchanged Sometimes increase and sometimes decrease Impossible to tell

**5.**If the population standard deviation is not known, what should be used as a point estimate?The standard deviation of a few sample means The sample mean The sample standard deviation Any of the above None of the above

**6.**If the sample size is cut to 1/4 of its present size, all else being the same, the confidence interval will become:Twice as wide Half as wide Four times as wide Will not change Not enough information to determine

**7.**If we want to construct a confidence interval half as wide as the current one, then the sample needs to be:Twice as large Half as large Four times as large Eight times as large One-fourth as large

**8.**For n = 121, sample mean = 96, and a known population standard deviation s = 14, construct a 95% confidence interval for the population mean.[93.53, 98.48] [93.51, 98.49] [93.02, 98.98] [93.06, 98.94] [93.00, 98.95]

**9.**A 95% confidence interval for m is being formulated based on a sample of 16. What is the appropriate value for t?1.746 2.120 2.131 2.473 2.490

**10.**The sample mean is 115, the sample size is 16, and the sample standard deviation is 4. Construct a 99% confidence interval for the population mean.[113.04, 116.96] [112.425, 117.575] [112.053, 117.947] [112.869, 117.131] None of the above

**11.**A 99% confidence interval for s^{2}is being formulated based on a sample of 16 observations. What are appropriate values for χ^{2}?χ ^{2}_{Lower}= 4.07; χ^{2}_{Upper}= 34.95χ ^{2}_{Lower}= 4.07; χ^{2}_{Upper}= 31.32χ ^{2}_{Lower}= 4.60; χ^{2}_{Upper}= 32.80χ ^{2}_{Lower}= 5.14; χ^{2}_{Upper}= 34.27χ ^{2}_{Lower}= 5.23; χ^{2}_{Upper}= 30.58

**12.**A confidence interval for the population variance is being formulated, and a random sample of 35 observations yields a sample variance σ^{2}= 2,120. What would interval limits for σ^{2}be if a 95% confidence interval was desired?1,483.1, 3,327.8 1,387.0, 3,638.6 1,308.4, 3,951.8 1,227.5, 4,368.5 1,167.5, 4,689.7

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