Question 1

All bell-shaped curves _________.

Accepted Answer

A)  are normal curves 
B)  have means = 0 
C)  are symmetrical 
D)  a and c 
A)  are normal curves 
B)  have means = 0 
C)  are symmetrical 
D)  a and c

Question 2

The area under the normal curve represents the percentage of scores contained within the area.

Accepted Answer

A) True 
 B)False

Question 3

A testing bureau reports that the mean for the population of Graduate Record Exam (GRE) scores is 500 with a standard deviation of 90. The scores are normally distributed. The percentile rank of a score of 667 is _________.

Accepted Answer

A)  3.14% 
B)  96.78% 
C)  3.22% 
D)  96.86% 
A)  3.14% 
B)  96.78% 
C)  3.22% 
D)  96.86%

Question 4

An economics test was given and the following sample scores were recorded:   The z score for individual E is _________.

Accepted Answer

A)  0.47 
B)  9.00 
C)  4.27 
D)  - 0.47 
A)  0.47 
B)  9.00 
C)  4.27 
D)  - 0.47

Question 5

In a population survey of patients in a rehabilitation hospital, the mean length of stay in the hospital was 12.0 weeks with a standard deviation equal to 1.0 week. The distribution was normally distributed. 
 Out of 100 patients how many would you expect to stay longer than 13 weeks?

Accepted Answer

To determine how many patients out of 10

Question 6

A distribution has a mean of 60.0 and a standard deviation of 4.3. The raw score corresponding to a z score of - 1.51 is _________.

Accepted Answer

A)  53.5 
B)  66.5 
C)  66.4 
D)  53.6 
A)  53.5 
B)  66.5 
C)  66.4 
D)  53.6

Question 7

A distribution of raw scores is positively skewed. You want to transform it so that it is normally distributed. Your friend, who fancies herself a statistics whiz, advises you to transform the raw scores to z scores; that the z scores will be normally distributed. You should _________.

Accepted Answer

A)  ignore the advice because your friend flunked her last statistics test 
B)  ignore the advice because z distributions have the same shape as the raw scores. 
C)  take the advice because z distributions are always normally distributed 
D)  take the advice because z distributions are usually normally distributed 
A)  ignore the advice because your friend flunked her last statistics test 
B)  ignore the advice because z distributions have the same shape as the raw scores. 
C)  take the advice because z distributions are always normally distributed 
D)  take the advice because z distributions are usually normally distributed

Question 8

A testing service has 1000 raw scores. It wants to transform the distribution so that the mean = 10 and the standard deviation = 1. To do so, _________.

Accepted Answer

A)  do a z transformation for each raw score and add 10 to each z score. 
B)  do a z transformation for each raw score and multiply each by 10 
C)  divide the raw scores by 10 
D)  compute the deviation score for each raw score. Divide each deviation score by the standard deviation of the raw scores. Take this result for all scores and add 10 to each one. 
E)  a and d 
A)  do a z transformation for each raw score and add 10 to each z score. 
B)  do a z transformation for each raw score and multiply each by 10 
C)  divide the raw scores by 10 
D)  compute the deviation score for each raw score. Divide each deviation score by the standard deviation of the raw scores. Take this result for all scores and add 10 to each one. 
E)  a and d

Question 9

One cannot reasonably do z transformations on ratio data.

Accepted Answer

A) True 
 B)False

Question 10

A distribution has a mean of 60.0 and a standard deviation of 4.3. The raw score corresponding to a z score of 2.02 is _________.

Accepted Answer

A)  51.3 
B)  68.7 
C)  51.4 
D)  68.6 
A)  51.3 
B)  68.7 
C)  51.4 
D)  68.6

Question 11

On one college aptitude test with a mean of µ = 100 and a standard deviation of s = 16, a student achieved a score of 124. The same student took a different test which had a mean of µ = 50 and a standard deviation of s = 10. On the second test the student achieved a score of 65. On which test did the student do better?

Accepted Answer

To determine on which test the student d

Question 12

The area under the normal curve represents the proportion of scores that are contained in the area.

Accepted Answer

A) True 
 B)False

Question 13

If a score is at the mean of a set of raw scores, where will it be if the set of raw scores is transformed to z scores? Why?

Accepted Answer

If a score is at the mean of a set of ra

Question 14

If a population of scores is normally distributed, has a mean of 45 and a standard deviation of 6, the most extreme 5% of the scores lie beyond the score(s) of _________.

Accepted Answer

A)  35.13 
B)  45.99 
C)  56.76 and 33.24 
D)  45.99 and 35.13 
A)  35.13 
B)  45.99 
C)  56.76 and 33.24 
D)  45.99 and 35.13

Question 15

A surgeon is experimenting with a new technique for implanting artificial blood vessels. Using this technique with a great many operations, the mean time before clotting of an artificial blood vessel has been 32.5 days with a standard deviation of 2.6 days. The following data were obtained on four operations.

Accepted Answer

The answer of A surgeon is experimenting with a new...

Question 16

If the original raw score distribution is not normally distributed, the mean of the z transformation scores of the raw data will not equal 0.

Accepted Answer

A) True 
 B)False

Question 17

Given the following set of sample raw scores, X: 1, 3, 4, 6, 8. What is the z transformed value for the raw score of 3?

Accepted Answer

A)  -0.18 
B)  -0.48 
C)  -0.15 
D)  -0.52 
A)  -0.18 
B)  -0.48 
C)  -0.15 
D)  -0.52

Question 18

The standard deviation of the z distribution is always equal to 1.0.

Accepted Answer

A) True 
 B)False

Question 19

An economics test was given and the following sample scores were recorded:   The mean of the distribution is _________.

Accepted Answer

A)  12.00 
B)  10.00 
C)  9.00 
D)  8.00 
A)  12.00 
B)  10.00 
C)  9.00 
D)  8.00

Question 20

If the raw score distribution is very positively skewed, the standard deviation of the z transformed scores will not equal 1.

Accepted Answer

A) True 
 B)False

All bell-shaped curves _________.

The area under the normal curve represents the percentage of scores contained within the area.

A testing bureau reports that the mean for the population of Graduate Record Exam (GRE) scores is 500 with a standard deviation of 90. The scores are normally distributed. The percentile rank of a score of 667 is _________.

An economics test was given and the following sample scores were recorded: The z score for individual E is _________.

In a population survey of patients in a rehabilitation hospital, the mean length of stay in the hospital was 12.0 weeks with a standard deviation equal to 1.0 week. The distribution was normally distributed. Out of 100 patients how many would you expect to stay longer than 13 weeks?

A distribution has a mean of 60.0 and a standard deviation of 4.3. The raw score corresponding to a z score of - 1.51 is _________.

A distribution of raw scores is positively skewed. You want to transform it so that it is normally distributed. Your friend, who fancies herself a statistics whiz, advises you to transform the raw scores to z scores; that the z scores will be normally distributed. You should _________.

A testing service has 1000 raw scores. It wants to transform the distribution so that the mean = 10 and the standard deviation = 1. To do so, _________.

One cannot reasonably do z transformations on ratio data.

A distribution has a mean of 60.0 and a standard deviation of 4.3. The raw score corresponding to a z score of 2.02 is _________.

The area under the normal curve represents the proportion of scores that are contained in the area.

If a score is at the mean of a set of raw scores, where will it be if the set of raw scores is transformed to z scores? Why?

If a population of scores is normally distributed, has a mean of 45 and a standard deviation of 6, the most extreme 5% of the scores lie beyond the score(s) of _________.

If the original raw score distribution is not normally distributed, the mean of the z transformation scores of the raw data will not equal 0.

Given the following set of sample raw scores, X: 1, 3, 4, 6, 8. What is the z transformed value for the raw score of 3?

The standard deviation of the z distribution is always equal to 1.0.

An economics test was given and the following sample scores were recorded: The mean of the distribution is _________.

If the raw score distribution is very positively skewed, the standard deviation of the z transformed scores will not equal 1.

Statistics and Scientific Method

Basic Mathematical and Measurement Concepts

Frequency Distributions

Measures of Central Tendency and Variability

Correlation

Linear Regression

Random Sampling and Probability

Binomial Distribution

Introduction to Hypothesis Testing: Using the Sign Test

Power

Sampling Distributions, Sampling Distribution of the Mean: the Normal Deviate Z Test

Students T Test for Single Samples

Students T Test for Correlated and Independent Groups

Introduction to the Analysis of Variance

Introduction to the Two-Way Analysis of Variance

Chi-Square and Other Nonparametric Tests

Filters

Exam 5: The Normal Curve and Standard Scores

All bell-shaped curves _________.

The area under the normal curve represents the percentage of scores contained within the area.

A testing bureau reports that the mean for the population of Graduate Record Exam (GRE) scores is 500 with a standard deviation of 90. The scores are normally distributed. The percentile rank of a score of 667 is _________.

An economics test was given and the following sample scores were recorded: The z score for individual E is _________.

In a population survey of patients in a rehabilitation hospital, the mean length of stay in the hospital was 12.0 weeks with a standard deviation equal to 1.0 week. The distribution was normally distributed. Out of 100 patients how many would you expect to stay longer than 13 weeks?

A distribution has a mean of 60.0 and a standard deviation of 4.3. The raw score corresponding to a z score of - 1.51 is _________.

A distribution of raw scores is positively skewed. You want to transform it so that it is normally distributed. Your friend, who fancies herself a statistics whiz, advises you to transform the raw scores to z scores; that the z scores will be normally distributed. You should _________.

A testing service has 1000 raw scores. It wants to transform the distribution so that the mean = 10 and the standard deviation = 1. To do so, _________.

One cannot reasonably do z transformations on ratio data.

A distribution has a mean of 60.0 and a standard deviation of 4.3. The raw score corresponding to a z score of 2.02 is _________.

The area under the normal curve represents the proportion of scores that are contained in the area.

If a score is at the mean of a set of raw scores, where will it be if the set of raw scores is transformed to z scores? Why?

If a population of scores is normally distributed, has a mean of 45 and a standard deviation of 6, the most extreme 5% of the scores lie beyond the score(s) of _________.

If the original raw score distribution is not normally distributed, the mean of the z transformation scores of the raw data will not equal 0.

Given the following set of sample raw scores, X: 1, 3, 4, 6, 8. What is the z transformed value for the raw score of 3?

The standard deviation of the z distribution is always equal to 1.0.

An economics test was given and the following sample scores were recorded: The mean of the distribution is _________.

If the raw score distribution is very positively skewed, the standard deviation of the z transformed scores will not equal 1.

Statistics and Scientific Method

Basic Mathematical and Measurement Concepts

Frequency Distributions

Measures of Central Tendency and Variability

Correlation

Linear Regression

Random Sampling and Probability

Binomial Distribution

Introduction to Hypothesis Testing: Using the Sign Test

Power

Sampling Distributions, Sampling Distribution of the Mean: the Normal Deviate Z Test

Students T Test for Single Samples

Students T Test for Correlated and Independent Groups

Introduction to the Analysis of Variance

Introduction to the Two-Way Analysis of Variance

Chi-Square and Other Nonparametric Tests

Filters