The margin of error for a confidence interval for a population is equivalent to the standard deviation times the z-score value, or t-score value depending on the size of the population, for the probability of interest times the standard deviation of the population.

a. true
b. false

a) true

The margin of error for a confidence interval for a population is equivalent to the standard deviation times the z-score value

Step-by-step explanation:

Margin of error:-

The margin of error for a confidence interval for a population is equivalent to the standard deviation times the z-score value.

Margin of error is defined by

Here the population standard deviation is σ

Z- score at 95% of level of significance = 1.96 ≅2

The margin of error =

The margin of error for a 95% of confidence interval for a sample standard deviation times the t-score.

Margin of error = tₐ S/√n

here 'S' is the sample standard deviation

A precise confidence interval has a small margin of error. three factors determine the margin of error.

$4

step-by-step explanation:

$30×5=$150

$150 minus $130=$20

$20÷5=$4.

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step-by-step explanation:

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