Exam 6: The Normal Distribution, Probability, and Standard Scores

Assume that intelligence test scores are approximately normally distributed with a mean of 100 and a standard deviation of 16. Thus, about percent of the people have IQ scores.

A score from a normal distribution may be converted to a score on the standard normal distribution by.

A numerical value that describes the scores of a population is called a(n).

A population of scores is normally distributed with a mean of 100 and a standard deviation of 20. Approximately percent of the scores fall in the interval between 60 and 100.

The area between z = -1.0 to z = -2.0 in a standard normal distribution contains approximately percent of the distribution of scores.

A normally distributed set of scores has a μ = 500 and σ = 100. What proportion of scores is equal to or greater than 400?

The symbol σ represents the.

For a normally distributed set of scores with, what is the probability of a score being between 60 to 140? $\mu = 100 \text { and } \sigma = 20$

If a distribution is normal with μ = 50 and σ = 10, then what proportion of the scores will fall between 40 and 60?

A population of scores is normally distributed with a mean of 100 and a standard deviation of 20. Approximately percent of the scores fall in the interval between 100 and 140.

You receive a score of 80 on a psychology test that has a mean of 71 and a sample variance equal to 9. Your standard score on the test is equal to.

For a normally distributed set of scores with, what is the probability of a score being between 180 to 220? $\mu = 200 \text { and } \sigma = 20$

The symbol μ represents the.

In the standard normal distribution, the area to the left of z = 0 contains percent of the distribution.

Which of the following statements about a normal distribution is correct?

In a normal distribution, .6826 of the scores will be located in the interval between.

In a normal distribution, what proportion of scores fall within the interval between the mean and the lowest value in the distribution?

In a normal distribution, what proportion of scores fall within the interval between the first standard deviation above the mean to the second standard deviation above the mean?

A population of scores is normally distributed with a mean of 100 and a standard deviation of 20. Approximately percent of the scores fall in the interval between 80 and 100.

Which of the following corresponds to the statement: "The probability that X is equal to or greater than 75 and equal to or less than 95 is .47"?