now let's look at the data from all the buffalo. if we calculate the 60% confidence interval for every buffalo's count (i.e. data sample), how many cis do we expect to contain the true mean? store your answer in theoretical hits. then we need to check our theoretical answer with our actual data. calculate the 60% confidence interval for each buffalo's count. then commpute how many of those cis contain the true mean. assume that the true mean is 25,000 . store this value in sample hits. does this value match the theoretical value?

The interpretation of a x% confidence interval it is x% likely that the population parameter(mean/proportion/standard deviation) is between a and b, which are the bounds of the confidence interval.

The bounds a and b of the confidence interval are given by the estimate plus/minus the margin of error.

The interpretation also means that out of n samples, the percentage which are expected to contain the true mean is of x, hence the percentage for this problem is of 60%, as it is the confidence level.

Missing Information

The problem is incomplete, hence only the first part could be answered.

More can be learned about confidence intervals at https://brainly.com/question/17073112

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