After computing a confidence interval, the user believes the results are meaningless because the width of the interval is too large. Which one of the following is the best recommendation? Group of answer choices Increase the sample size. Reduce the population variance. Increase the level of confidence for the interval. Decrease the sample size.

The best recommendation is to: Increase the sample size.

Step-by-step explanation:

The width of a confidence interval   ,depends on three things,

To decrease the width the following options can be used:

Since the sample is inversely proportional to the width of the confidence interval, increasing the value of n will decrease the width.

The standard deviation is directly proportional to the width of the confidence interval. On decreasing the standard deviation value the width of the interval will also decrease.

The critical value of the distribution is based on the confidence level. Higher the confidence level, higher will be critical value.

So, on deceasing the confidence level the critical value will decrease, hence decreasing the width of the interval.

Thus, the best recommendation is to: Increase the sample size.

describing distributions is one of the key skills you’ll need to earn a high score on the ap statistics exam. if you need proof of this, just flip through some past exam questions, which can be found at the collegeboard website. you’ll notice that the first free response question is almost always a question requiring you to look at a graph and describe it.

step-by-step explanation: just trying to get points sorry : (