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galben [10]
2 years ago
6

Explain why increasing the sample size tends to result in a smaller sampling error when a sample mean is used to estimate a popu

lation mean.
A. The above statement is incorrect, the sample size has no effect on the sampling error.
B. The larger the sample size, the more closely the possible values of \bar{x} cluster around the mean of \bar{x}
C. If the sample size is larger, the possible values of \bar{x} are farther from the mean of \bar{x},
Mathematics
1 answer:
Anika [276]2 years ago
3 0
<span>B is the correct answer. The more values or samples you are able to add, the closer you come to approximating real life (although that is impossible) because you are more likely to have a cluster of values around the mean.</span>
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Check the picture below.

we know that AL is an angle bisector, so the angle at A gets cuts into two equal halves, we also know the angle at B is 30°, so the triangle ABC is really a 30-60-90 triangle, meaning the angle at A is really a 60° angle, cut in two halves gives us 30° and 30° as you see in the picture.

if the angles at A and B, inside the triangle ABL, are equal, twin angles are only made in an isosceles by twin sides, that means that AL = BL.

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3 years ago
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Ksenya-84 [330]

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the above equation will be used to determine the value of x.

the above equation will be used to determine the value of x.

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