The statement that 99% of all confidence intervals with a 99% confidence level should contain the population parameter of interest is false.
A confidence interval (CI) is essentially a range of estimates for an unknown parameter in frequentist statistics. The most frequent confidence level is 95%, but other levels, such 90% or 99%, are infrequently used for generating confidence intervals.
The confidence level is a measurement of the proportion of long-term associated CIs that include the parameter's true value. This is closely related to the moment-based estimate approach.
In a straightforward illustration, when the population mean is the quantity that needs to be estimated, the sample mean is a straightforward estimate. The population variance can also be calculated using the sample variance. Using the sample mean and the true mean's probability.
Hence we can generally infer that the given statement is false.
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Answer:
21 bushels of sweet corm weight 735 pounds.
Step-by-step explanation:
Given:
Weight of 21 bushels of sweet corn is obtained by multiplying the unit weight to the number of bushels required.
Unit weight of sweet corn is the weight of 1 bushel of sweet corn.
Weight of 1 bushel of sweet corn = 35 pounds
So, weight of 21 bushels of sweet corns = 
pounds.
Therefore, 21 bushels of sweet corn weigh 735 pounds.
I think the newsstand has 87 papers in the beginning of the day
Answer: a circle
Step-by-step explanation:
It’s not any of the other ones
