QUESTION 1
A standard error is
the variance of the population distribution. |
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the variance of the sampling distribution. |
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the standard deviation of the sampling distribution |
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the standard deviation of the population distribution. |
QUESTION 2
A confidence interval is constructed
to bracket the sample mean. |
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to bracket the margin of error. |
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to bracket the population parameter. |
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to bracket the sample statistic. |
QUESTION 3
A sampling distribution is
the standard deviation of the estimated slope coefficient. |
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the distribution of a statistic. |
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the standard deviation of a statistic. |
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the distribution of a parameter. |
QUESTION 4
If we find that it is unlikely to observe the sample statistic that is actually observed if the null hypothesis is true, then we should
calculate a new sample statistic. |
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fail to reject the null hypothesis. |
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reject the null hypothesis. |
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reject the alternative hypothesis. |
QUESTION 5
An estimator is unbiased if
the expected value of the estimator is equal to the sample statistic. |
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the p-value is less than .05. |
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the expected value of the estimator is equal to the true population parameter. |
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the standard error is small. |
Solution :
1)
A standard error is the standard deviation of the sampling distribution .
= / n
2)
A confidence interval is constructed to bracket the population parameter .
3)
A sampling distribution is the distribution of statistic .
4)
If we find that it is unlikely to observe the sample statistic that is actually observed if the null hypothesis is true, then we should reject the null hypothesis.
5)
An estimator is unbiased if the expected value of the estimator is equal to the true population parameter.
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