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A 95% lower confidence bound (LCB) for the difference between population proportions can be constructed using the following equation: LCB = A 95% lower confidence bound (LCB) for the difference between population proportions can be constructed using the following equation: LCB =

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A comparison between the average jail time of bank robbers and car thieves yielded the following results (in years): A comparison between the average jail time of bank robbers and car thieves yielded the following results (in years):   Estimate (   ), the difference in mean years of jail time. ______________ Find the margin of error for your estimate. ______________ Estimate ( A comparison between the average jail time of bank robbers and car thieves yielded the following results (in years):   Estimate (   ), the difference in mean years of jail time. ______________ Find the margin of error for your estimate. ______________ ), the difference in mean years of jail time. ______________ Find the margin of error for your estimate. ______________

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A random sample of 45 door-to-door encyclopedia salespersons were asked how long on average they were able to talk to the potential customer. Their answers revealed a mean of 8.5 minutes with a variance of 9 minutes. Construct a 95% confidence interval for A random sample of 45 door-to-door encyclopedia salespersons were asked how long on average they were able to talk to the potential customer. Their answers revealed a mean of 8.5 minutes with a variance of 9 minutes. Construct a 95% confidence interval for   , the time it takes an encyclopedia salesperson to talk to a potential customer. ______________ , the time it takes an encyclopedia salesperson to talk to a potential customer. ______________

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Assume that two independent random samples of sizes Assume that two independent random samples of sizes   and   have been selected from binomial populations with parameters   and   , respectively. The standard error of the sampling distribution of   , the difference between sample proportions, is estimated by   . and Assume that two independent random samples of sizes   and   have been selected from binomial populations with parameters   and   , respectively. The standard error of the sampling distribution of   , the difference between sample proportions, is estimated by   . have been selected from binomial populations with parameters Assume that two independent random samples of sizes   and   have been selected from binomial populations with parameters   and   , respectively. The standard error of the sampling distribution of   , the difference between sample proportions, is estimated by   . and Assume that two independent random samples of sizes   and   have been selected from binomial populations with parameters   and   , respectively. The standard error of the sampling distribution of   , the difference between sample proportions, is estimated by   . , respectively. The standard error of the sampling distribution of Assume that two independent random samples of sizes   and   have been selected from binomial populations with parameters   and   , respectively. The standard error of the sampling distribution of   , the difference between sample proportions, is estimated by   . , the difference between sample proportions, is estimated by Assume that two independent random samples of sizes   and   have been selected from binomial populations with parameters   and   , respectively. The standard error of the sampling distribution of   , the difference between sample proportions, is estimated by   . .

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A simple extension of the estimation of a binomial proportion p is the estimation of the difference between two binomial proportions A simple extension of the estimation of a binomial proportion p is the estimation of the difference between two binomial proportions   and   . and A simple extension of the estimation of a binomial proportion p is the estimation of the difference between two binomial proportions   and   . .

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An unbiased estimator of a population parameter is an estimator whose variance is the same as the actual value of the population variance.

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A random sample of 80 jars of grape jelly has a mean weight of 20 oz. with a standard deviation of 1.7 oz. Construct a 99% confidence interval for A random sample of 80 jars of grape jelly has a mean weight of 20 oz. with a standard deviation of 1.7 oz. Construct a 99% confidence interval for   , the true weight of a jar of jelly. ______________ , the true weight of a jar of jelly. ______________

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A questionnaire is designed to investigate attitudes about political corruption in government. The experimenter would like to survey two different groups--Republicans and Democrats--and compare the responses to various "yes-no" questions for the two groups. The experimenter requires that the sampling error for the difference in the proportion of yes responses for the two groups is no more than A questionnaire is designed to investigate attitudes about political corruption in government. The experimenter would like to survey two different groups--Republicans and Democrats--and compare the responses to various  yes-no  questions for the two groups. The experimenter requires that the sampling error for the difference in the proportion of yes responses for the two groups is no more than   4 percentage points with probability equal to 0.95. If the two samples are both the same size, how large should the samples be? ______________ 4 percentage points with probability equal to 0.95. If the two samples are both the same size, how large should the samples be? ______________

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Trish attends an aerobics class four times each week. She would like to estimate the mean number of minutes of continuous exercise until her heart reaches 90 beats per minute. If it can be assumed that Trish attends an aerobics class four times each week. She would like to estimate the mean number of minutes of continuous exercise until her heart reaches 90 beats per minute. If it can be assumed that   = 1.7 minutes, how large a sample is needed so that it will be possible to assert with 99% confidence that the sample mean has a margin of error of at most 0.62 minutes? ______________ = 1.7 minutes, how large a sample is needed so that it will be possible to assert with 99% confidence that the sample mean has a margin of error of at most 0.62 minutes? ______________

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A sample statistic such that the mean of all its possible values equals the population parameter the statistic seeks to estimate is an unbiased estimator.

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The term confidence level refers to:


A) the absolute number of interval estimates that can be expected to contain the actual value of the parameter being estimated when the same procedure of interval construction is used again and again
B) the percentage of interval estimates that can be expected to contain the actual value of the parameter being estimated when the same procedure of interval construction is used again and again
C) the range of values among which an unknown population parameter can presumably be found
D) the sum of an estimator's squared bias plus its variance, which indicates the degree to which it is consistent, efficient, and unbiased
E) the percentage of interval estimates that can be expected to contain the actual value of the parameter being estimated when the same procedure of interval construction is used again and again and the range of values among which an unknown population parameter can presumably be found

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Suppose you wish to estimate a population mean based on a random sample of n observations, and prior experience suggests that Suppose you wish to estimate a population mean based on a random sample of n observations, and prior experience suggests that   . If you wish to estimate   correct to within 1.8, with probability equal to 0.95, how many observations should be included in your sample? ______________ . If you wish to estimate Suppose you wish to estimate a population mean based on a random sample of n observations, and prior experience suggests that   . If you wish to estimate   correct to within 1.8, with probability equal to 0.95, how many observations should be included in your sample? ______________ correct to within 1.8, with probability equal to 0.95, how many observations should be included in your sample? ______________

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A point estimate of a population parameter will likely be different from the corresponding population value due to the fact that point estimates are subject to sampling error.

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In constructing a 95% confidence interval estimate for the difference between the means of two normally distributed populations, where the unknown population variances are assumed not to be equal, summary statistics computed from two independent samples are: In constructing a 95% confidence interval estimate for the difference between the means of two normally distributed populations, where the unknown population variances are assumed not to be equal, summary statistics computed from two independent samples are:   ,   ,   ,   ,   , and   . The upper confidence limit is: A)  18.78 B)  6.78 C)  5.76 D)  77.3 E)  89.3 , In constructing a 95% confidence interval estimate for the difference between the means of two normally distributed populations, where the unknown population variances are assumed not to be equal, summary statistics computed from two independent samples are:   ,   ,   ,   ,   , and   . The upper confidence limit is: A)  18.78 B)  6.78 C)  5.76 D)  77.3 E)  89.3 , In constructing a 95% confidence interval estimate for the difference between the means of two normally distributed populations, where the unknown population variances are assumed not to be equal, summary statistics computed from two independent samples are:   ,   ,   ,   ,   , and   . The upper confidence limit is: A)  18.78 B)  6.78 C)  5.76 D)  77.3 E)  89.3 , In constructing a 95% confidence interval estimate for the difference between the means of two normally distributed populations, where the unknown population variances are assumed not to be equal, summary statistics computed from two independent samples are:   ,   ,   ,   ,   , and   . The upper confidence limit is: A)  18.78 B)  6.78 C)  5.76 D)  77.3 E)  89.3 , In constructing a 95% confidence interval estimate for the difference between the means of two normally distributed populations, where the unknown population variances are assumed not to be equal, summary statistics computed from two independent samples are:   ,   ,   ,   ,   , and   . The upper confidence limit is: A)  18.78 B)  6.78 C)  5.76 D)  77.3 E)  89.3 , and In constructing a 95% confidence interval estimate for the difference between the means of two normally distributed populations, where the unknown population variances are assumed not to be equal, summary statistics computed from two independent samples are:   ,   ,   ,   ,   , and   . The upper confidence limit is: A)  18.78 B)  6.78 C)  5.76 D)  77.3 E)  89.3 . The upper confidence limit is:


A) 18.78
B) 6.78
C) 5.76
D) 77.3
E) 89.3

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The Postmaster at the Harrington Post Office would like to compare the delivery times to two different locations which are the same number of miles from Harrington. A random sample of letters are to be divided into two equal groups, the first delivered to Location A and the second delivered to Location B. Each letter will be delivered on a randomly selected day and the number of days for each letter to arrive at its destination is recorded. The measurements for both groups are expected to have a range (variability) of approximately 4 days. If the estimate of the difference in mean delivery times is desired to be correct to within 1 day with probability equal to 0.99, how many letters must be included in each group? Assume n1 = n2 = n. ______________

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The difference between two sample means The difference between two sample means   is an unbiased estimator of the difference between two population means   . is an unbiased estimator of the difference between two population means The difference between two sample means   is an unbiased estimator of the difference between two population means   . .

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A random sample of 60 people revealed it took an average of 55 minutes with a standard deviation of 10 minutes for a person to complete a loan application at the bank. Construct a 90% confidence interval for A random sample of 60 people revealed it took an average of 55 minutes with a standard deviation of 10 minutes for a person to complete a loan application at the bank. Construct a 90% confidence interval for   , the true time it takes any person to complete the loan form. ______________ , the true time it takes any person to complete the loan form. ______________

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If you wish to estimate the difference between two population means when the population variances are known, the 99% confidence interval estimate can be developed using which of the following critical values of z?


A) 2.575
B) 1.645
C) 2.325
D) 1.275
E) 2.582

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A sample statistic such that the mean of all its possible values differs from the population parameter the statistics seeks to estimate is called:


A) an efficient estimator
B) an inconsistent estimator
C) a biased estimator
D) a Bayesian estimator
E) a least squares estimator

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A term confidence level refers to an estimate of a population parameter, expressed as a range of values within which the unknown but true parameter presumably lies.

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