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never [62]
2 years ago
7

How does the increase in confidence level affect the interval width and margin of error?

Mathematics
2 answers:
meriva2 years ago
8 0

Answer:

1. Three things influence the margin of error in a confidence interval estimate of a population mean: sample size, variability in the population, and confidence level. For each of these quantities separately, explain briefly what happens to the margin of error as that quantity increases.

Answer: As sample size increases, the margin of error decreases. As the variability in the population increases, the margin of error increases. As the confidence level increases, the margin of error increases. Incidentally, population variability is not something we can usually control, but more meticulous collection of data can reduce the variability in our measurements. The third of these—the relationship between confidence level and margin of error seems contradictory to many students because they are confusing accuracy (confidence level) and precision (margin of error). If you want to be surer of hitting a target with a spotlight, then you make your spotlight bigger.

leva [86]2 years ago
4 0

Answer:

the three things influence the margin of error in a confidence interval estimate of a population mean - sample size variability in the population and confident level as the variability in the population increases the margin of error increases. as the cofidence level increases, the margin of error increases.

Step-by-step explanation:

hope this helps :)

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z=44

Step-by-step explanation:

One way to go about this with the given angles is to use the alternate interior angles theorem to find the full measure of ∠C and ∠A. Then, use the same theorem to set ∠BDA as 52°. Subtract all the angle measures from 360 (because the sum of the interior angles of a quadrilateral is = 360 degrees). Then divide the result by 2.

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