In a standard normal distribution, which of the following regions represents the probability P(-1 ?

The area centered at the mean extending one standard deviation to the left and right.

The total area under the curve to the right of the mean.

The area starting from the mean extending to three standard deviations to the right.

The tiny area in the far left tail of the distribution beyond three standard deviations.

Which of the following descriptions best identifies the region under the standard normal curve corresponding to P(Z > 1.96) ?

The upper tail area starting 1.96 standard deviations to the right of the mean.

The entire area under the curve between -1.96 and 1.96 .

The area between the mean and Z = 1.96 .

The lower tail area to the left of Z = -1.96 .

If you are shading a region under the standard normal curve to represent P(Z , which part of the graph would be shaded?

The entire left half of the curve starting from the mean.

The areas in both the far left and far right tails.

The entire right half of the curve starting from the mean.

A small strip between Z = 0 and Z = 1 .

Which of the following describes the region represented by the probability P(0 in a standard normal distribution?

The area between the vertical line at the mean and the vertical line two standard deviations to the right of the mean.

The area starting at two standard deviations above the mean and extending to the right tail.

The area representing the middle 95% of the distribution centered at the mean.

The area to the left of the mean extending to the far left tail.

Which of the following describes the shaded region under the standard normal curve that represents the probability P(Z ?

A very small area in the extreme left tail of the distribution.

The large area covering most of the curve to the right of the mean.

The area starting at the mean and extending to the left for 2.58 standard deviations.

The central area located between Z = -2.58 and Z = 2.58 .

Which of the following describes the shaded region under the standard normal curve corresponds to the probability P(-1.5 ?

The area bounded by the mean on the right and 1.5 standard deviations to the left of the mean.

The area in the left tail that is more than 1.5 standard deviations away from the mean.

The area starting at the mean and extending 1.5 standard deviations to the right.

The area representing the middle 99% of the distribution.

Which of the following describes the region under the standard normal curve that corresponds to the probability P(|Z| > 1) ?

The combined area of the two tails, specifically less than -1 and greater than 1 .

The area to the right of the mean representing only positive values.

The central area under the curve between Z = -1 and Z = 1 .

The entire area under the curve between the mean and Z = 1 .

Which of the following describes the shaded region under the standard normal curve that represents the probability P(Z > -1) ?

The area starting one standard deviation to the left of the mean and extending to the entire right side of the curve.

The area starting one standard deviation to the right of the mean and extending to the right tail.

The small area in the left tail to the left of Z = -1 .

The area exactly between Z = -1 and Z = 1 .

Which of the following describes the shaded region under the standard normal curve that corresponds to the probability P(Z > 2.33) ?

A small portion of the extreme right tail, starting 2.33 standard deviations above the mean.

The entire left half of the curve starting from the mean.

The area between the mean and Z = 2.33 .

The wide central region covering most of the distribution centered at the mean.

Which of the following describes the shaded region under the standard normal curve that corresponds to the probability P(Z ?

The total area to the left of 1.645 standard deviations above the mean, covering the entire left half and much of the right side.

The area between -1.645 and 1.645 standard deviations centered at the mean.

The small area in the right tail starting at 1.645 standard deviations above the mean.

The area exactly between the mean and 1.645 standard deviations to the right.

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