Deck 8: Interval Estimates for Proportions, Mean Differences and Proportion Differences

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سؤال
In a 95% confidence interval estimate of a population proportion, the margin of error will be 2.33 times the standard error of the proportion.
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سؤال
In a matched sample design, one uses the average for each pair of data values when building a confidence interval.
سؤال
An interval estimate of a population proportion is a range of values used to estimate the population parameter π\pi .
سؤال
As the sample size increases, the margin of error in an interval estimate of a population proportion decreases.
سؤال
In a 95% confidence interval estimate of the difference between two population means, the standard error of the proportion will be 1.96 times the margin of error.
سؤال
In the absence of any other information, determining the largest sample size that might be necessary to build a 95% confidence interval estimate of a population proportion requires us to assume that the population proportion π\pi is .50.
سؤال
For the sampling distribution of the sample proportion, the distribution is approximately normal as long as n < 30.
سؤال
For large enough sample sizes, 95% of the possible sample mean differences will be within 1.96 standard errors of the population mean difference.
سؤال
The value of π\pi that maximizes the product π\pi (1 - π\pi ) is .05.
سؤال
When each data value in one sample is paired with a corresponding data value in another sample, the samples are said to be independent.
سؤال
A matched sample design can lead to a smaller sampling error than the independent sample design because some or all of the variation between sampled items is eliminated as a source of sampling error.
سؤال
The sampling distribution of the sample mean difference is the probability distribution of all possible values of the sample mean difference when a sample of size n1 is taken from one population and a sample of size n2 is taken from another.
سؤال
A 95% confidence interval estimate of the difference between two population proportions will contain 95% of the possible sample proportion differences.
سؤال
One of the properties of the sampling distribution of the sample proportion is that the expected value of the sample proportion will be exactly equal to 0.5.
سؤال
When calculating the sample size to use in estimating a population proportion, using a proportion equal to 0.25 will provide the maximum sample size.
سؤال
In any confidence interval estimate of a population proportion difference, the margin of error will be less than the standard error of the sampling distribution.
سؤال
As the confidence requirement increases, the standard error term in an interval estimate of the difference between two population proportions decreases.
سؤال
The sampling distribution of the sample proportion is the probability distribution of all possible values of the sample proportion when a sample of size n is taken from a particular population.
سؤال
In determining a confidence interval for the difference between two population proportions, the point estimate of the difference is ( In determining a confidence interval for the difference between two population proportions, the point estimate of the difference is (   -   ).<div style=padding-top: 35px> - In determining a confidence interval for the difference between two population proportions, the point estimate of the difference is (   -   ).<div style=padding-top: 35px> ).
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ملء الشاشة (f)
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Deck 8: Interval Estimates for Proportions, Mean Differences and Proportion Differences
1
In a 95% confidence interval estimate of a population proportion, the margin of error will be 2.33 times the standard error of the proportion.
False
2
In a matched sample design, one uses the average for each pair of data values when building a confidence interval.
False
3
An interval estimate of a population proportion is a range of values used to estimate the population parameter π\pi .
True
4
As the sample size increases, the margin of error in an interval estimate of a population proportion decreases.
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5
In a 95% confidence interval estimate of the difference between two population means, the standard error of the proportion will be 1.96 times the margin of error.
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6
In the absence of any other information, determining the largest sample size that might be necessary to build a 95% confidence interval estimate of a population proportion requires us to assume that the population proportion π\pi is .50.
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7
For the sampling distribution of the sample proportion, the distribution is approximately normal as long as n < 30.
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8
For large enough sample sizes, 95% of the possible sample mean differences will be within 1.96 standard errors of the population mean difference.
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9
The value of π\pi that maximizes the product π\pi (1 - π\pi ) is .05.
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10
When each data value in one sample is paired with a corresponding data value in another sample, the samples are said to be independent.
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11
A matched sample design can lead to a smaller sampling error than the independent sample design because some or all of the variation between sampled items is eliminated as a source of sampling error.
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12
The sampling distribution of the sample mean difference is the probability distribution of all possible values of the sample mean difference when a sample of size n1 is taken from one population and a sample of size n2 is taken from another.
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13
A 95% confidence interval estimate of the difference between two population proportions will contain 95% of the possible sample proportion differences.
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14
One of the properties of the sampling distribution of the sample proportion is that the expected value of the sample proportion will be exactly equal to 0.5.
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15
When calculating the sample size to use in estimating a population proportion, using a proportion equal to 0.25 will provide the maximum sample size.
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16
In any confidence interval estimate of a population proportion difference, the margin of error will be less than the standard error of the sampling distribution.
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17
As the confidence requirement increases, the standard error term in an interval estimate of the difference between two population proportions decreases.
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18
The sampling distribution of the sample proportion is the probability distribution of all possible values of the sample proportion when a sample of size n is taken from a particular population.
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19
In determining a confidence interval for the difference between two population proportions, the point estimate of the difference is ( In determining a confidence interval for the difference between two population proportions, the point estimate of the difference is (   -   ). - In determining a confidence interval for the difference between two population proportions, the point estimate of the difference is (   -   ). ).
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