O A. The confidence interval includes 98% of all possible values for the parameter. O B. The probability that the value of the parameter lies between the lower and upper bounds of the interval is 98%. The probability that it does not is 2%. Oc. If 100 different confidence intervals are constructed, each based on a different sample of size n from the same population, then we expect 98 of the intervals to include the parameter and 2 not include the parameter. O D. The value of the parameter lies within 98% of a standard deviation of the estimate.

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Explain what "98% confidence" means in a 98% confidence interval.
What does "98% confidence" mean in a 98% confidence interval?
O A. The confidence interval includes 98% of all possible values for the parameter.
O B. The probability that the value of the parameter lies between the lower and upper bounds of the interval is 98%. The probability that it does not is 2%.
Oc. If 100 different confidence intervals are constructed, each based on a different sample of size n from the same population, then we expect 98 of the intervals to include the parameter and 2
not include the parameter.
O D. The value of the parameter lies within 98% of a standard deviation of the estimate.
Transcribed Image Text:Explain what "98% confidence" means in a 98% confidence interval. What does "98% confidence" mean in a 98% confidence interval? O A. The confidence interval includes 98% of all possible values for the parameter. O B. The probability that the value of the parameter lies between the lower and upper bounds of the interval is 98%. The probability that it does not is 2%. Oc. If 100 different confidence intervals are constructed, each based on a different sample of size n from the same population, then we expect 98 of the intervals to include the parameter and 2 not include the parameter. O D. The value of the parameter lies within 98% of a standard deviation of the estimate.
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