Question

1) If you were designing a study that would benefit from a narrow range of data points, you would want the input variable to have: a large standard deviation a small mean a small margin of error a small sample size

If) a computer manufacturer needed a supplier that could produce parts that were very precise, what characteristics would be better? narrow confidence interval at low confidence level wide confidence interval with high confidence level narrow confidence interval at high confidence level wide confidence interval with low confidence level

Answer 1

Answer :

given data :-

(1). If you were designing a study that would benefit from a narrow range of data points, you would want the input variable to have

subsequently, on the off chance that you planning an understudy that would profit by very scatter information focuses you would need the info variable substantial mean. since scatter information focuses has a vast mean

the correct answer for the given statement is,

a large mean

(2).

I will go to absolute first choice for example more extensive certainty interim with low certainty level,because certainty interim reveals to us how most likely certain you are . 95% CI is smaller than 99% CI and 99% CI is more exact than 95% in light of the fact that you are progressively sure with your values.The more extensive the CI you are happy to acknowledge, the more certain you can be that the entire populace answer would be inside that range.So its better that 99% your example i.e nuts will fit in vehicle 1% there is chance that it won't fit. So more extensive certainty inteval with low certainty level is better one.And the certainty level methods the example measure so little the saple estimate less variety will happen that is the reason low certainty level is better.

So wide confidence interval with low confidence level is better one.