Question 1

A z score allows one to compare scores to each other, but not when they are based on different scales.

Accepted Answer

A) True 
 B)False

Question 2

The _____ is a normal distribution of z scores.

Accepted Answer

A)  standard normal distribution 
B)  mean distribution 
C)  raw score distribution 
D)  linear distribution 
A)  standard normal distribution 
B)  mean distribution 
C)  raw score distribution 
D)  linear distribution

Question 3

Which score is more extreme: 0.68 or -0.92?

Accepted Answer

A)  0.68 
B)  -0.92 
C)  z scores do not allow us to assess this. 
D)  Scores with different signs cannot be compared. 
A)  0.68 
B)  -0.92 
C)  z scores do not allow us to assess this. 
D)  Scores with different signs cannot be compared.

Question 4

The formula for z based on the mean of a sample is:

Accepted Answer

A)  z = (M - $\mu  $M)/$\mu  $s. 
B)  z = (X - $\mu  $M)/$\mu  $s. 
C)  z = (X - $\mu  $M)/ sM. 
D)  z = (M - $\mu  $M)/sM. 
A)  z = (M - $\mu  $M)/$\mu  $s. 
B)  z = (X - $\mu  $M)/$\mu  $s. 
C)  z = (X - $\mu  $M)/ sM. 
D)  z = (M - $\mu  $M)/sM.

Question 5

A z score allows one to compare scores to each other, even when they are based on different scales.

Accepted Answer

A) True 
 B)False

Question 6

The z distribution is equivalent to a distribution of _____ scores.

Accepted Answer

A)  mean 
B)  linear 
C)  z 
D)  raw 
A)  mean 
B)  linear 
C)  z 
D)  raw

Question 7

Less than 5 percent of the distribution of scores falls beyond a z score of +/-1.0.

Accepted Answer

A) True 
 B)False

Question 8

A z score is the distance a score is from the mean of its distribution, expressed in variance.

Accepted Answer

A) True 
 B)False

Question 9

Data approaches a normal distribution as sample size increases, thus making sample size important in relation to the normal curve.

Accepted Answer

A) True 
 B)False

Question 10

The formula for calculating the raw score from a z score is:

Accepted Answer

A)  X = z(s) + $\mu  $. 
B)  X = z($\mu  $)/ s. 
C)  z = (s - $\mu  $)/X. 
D)  z = (X - s)/$\mu  $. 
A)  X = z(s) + $\mu  $. 
B)  X = z($\mu  $)/ s. 
C)  z = (s - $\mu  $)/X. 
D)  z = (X - s)/$\mu  $.

Question 11

The symbol for the population mean is:

Accepted Answer

A) $\mu  $. 
B)  X. 
C)  z. 
D)  s. 
A) $\mu  $. 
B)  X. 
C)  z. 
D)  s.

Question 12

Any raw score can be converted into a z score as long as you know the _____ and _____ of the distribution.

Accepted Answer

A)  median; mean 
B)  median; standard deviation 
C)  mean; standard deviation 
D)  mean; range 
A)  median; mean 
B)  median; standard deviation 
C)  mean; standard deviation 
D)  mean; range

Question 13

A distribution of means comprises many, many means of samples, all of the same size.

Accepted Answer

A) True 
 B)False

Question 14

The symbol for the standard error is:

Accepted Answer

A)  sM. 
B)  sS. 
C)  $\mu  $M. 
D)  $\mu  $S. 
A)  sM. 
B)  sS. 
C)  $\mu  $M. 
D)  $\mu  $S.

Question 15

Making meaningful comparisons of variables, even when they were measured on different scales, requires converting those variables to a common scale.This process is called:

Accepted Answer

A)  standardization. 
B)  z distributing. 
C)  normalization. 
D)  central conversion. 
A)  standardization. 
B)  z distributing. 
C)  normalization. 
D)  central conversion.

Question 16

Gibson (1986) asked a sample of college students to complete a self-esteem scale on which the midpoint of the scale was the score 108.He found that the average self-esteem score for this sample was 135.2, well above the actual midpoint of the scale.Given that the standard deviation of self-esteem scores was 28.15, what would be the z score for a person whose self-esteem score was 104.28?

Accepted Answer

A)  -1.10 
B)  -0.85 
C)  0.85 
D)  1.10 
A)  -1.10 
B)  -0.85 
C)  0.85 
D)  1.10

Question 17

In a normal standard curve, approximately _____ percent of scores fall within 1 standard deviation from the mean.

Accepted Answer

A)  34 
B)  46 
C)  96 
D)  68 
A)  34 
B)  46 
C)  96 
D)  68

Question 18

If a distribution of scores has a mean of 50 and a standard deviation of 5, then a score of 70 has a z score that is _____ standard deviation(s) from the mean.

Accepted Answer

A)  1 
B)  2 
C)  3 
D)  4 
A)  1 
B)  2 
C)  3 
D)  4

Question 19

If you have a z score of 0, then you have a raw score equal to the mean.

Accepted Answer

A) True 
 B)False

Question 20

A person with a z score of 0 would have a raw score equal to:

Accepted Answer

A)  the lowest score in the distribution of raw scores. 
B)  the mean of the distribution of raw scores. 
C)  the highest score in the distribution of raw scores. 
D)  0. 
A)  the lowest score in the distribution of raw scores. 
B)  the mean of the distribution of raw scores. 
C)  the highest score in the distribution of raw scores. 
D)  0.

A z score allows one to compare scores to each other, but not when they are based on different scales.

The _____ is a normal distribution of z scores.

Which score is more extreme: 0.68 or -0.92?

The formula for z based on the mean of a sample is:

A z score allows one to compare scores to each other, even when they are based on different scales.

The z distribution is equivalent to a distribution of _____ scores.

Less than 5 percent of the distribution of scores falls beyond a z score of +/-1.0.

A z score is the distance a score is from the mean of its distribution, expressed in variance.

Data approaches a normal distribution as sample size increases, thus making sample size important in relation to the normal curve.

The formula for calculating the raw score from a z score is:

The symbol for the population mean is:

Any raw score can be converted into a z score as long as you know the _ and _ of the distribution.

A distribution of means comprises many, many means of samples, all of the same size.

The symbol for the standard error is:

Making meaningful comparisons of variables, even when they were measured on different scales, requires converting those variables to a common scale.This process is called:

In a normal standard curve, approximately _____ percent of scores fall within 1 standard deviation from the mean.

If a distribution of scores has a mean of 50 and a standard deviation of 5, then a score of 70 has a z score that is _____ standard deviation(s) from the mean.

If you have a z score of 0, then you have a raw score equal to the mean.

A person with a z score of 0 would have a raw score equal to:

An Introduction to Statistics and Research Design

Frequency Distributions

Visual Displays of Data

Central Tendency and Variability

Sampling and Probability

Hypothesis Testing With Z Tests

Confidence Intervals, Effect Size, and Statistical Power

The Single-Sample T Test

The Paired-Samples T Test

The Independent-Samples T Test

One-Way Between-Groups Anova

One-Way Within-Groups Anova

Two-Way Between-Groups Anova

Correlation

Regression

Chi-Square Tess

Choosing and Reporting Statistics

Filters

Exam 6: The Normal Curve, Standardization and Z Scores

A z score allows one to compare scores to each other, but not when they are based on different scales.

The _____ is a normal distribution of z scores.

Which score is more extreme: 0.68 or -0.92?

The formula for z based on the mean of a sample is:

A z score allows one to compare scores to each other, even when they are based on different scales.

The z distribution is equivalent to a distribution of _____ scores.

Less than 5 percent of the distribution of scores falls beyond a z score of +/-1.0.

A z score is the distance a score is from the mean of its distribution, expressed in variance.

Data approaches a normal distribution as sample size increases, thus making sample size important in relation to the normal curve.

The formula for calculating the raw score from a z score is:

The symbol for the population mean is:

Any raw score can be converted into a z score as long as you know the _____ and _____ of the distribution.

A distribution of means comprises many, many means of samples, all of the same size.

The symbol for the standard error is:

Making meaningful comparisons of variables, even when they were measured on different scales, requires converting those variables to a common scale.This process is called:

In a normal standard curve, approximately _____ percent of scores fall within 1 standard deviation from the mean.

If a distribution of scores has a mean of 50 and a standard deviation of 5, then a score of 70 has a z score that is _____ standard deviation(s) from the mean.

If you have a z score of 0, then you have a raw score equal to the mean.

A person with a z score of 0 would have a raw score equal to:

An Introduction to Statistics and Research Design

Frequency Distributions

Visual Displays of Data

Central Tendency and Variability

Sampling and Probability

Hypothesis Testing With Z Tests

Confidence Intervals, Effect Size, and Statistical Power

The Single-Sample T Test

The Paired-Samples T Test

The Independent-Samples T Test

One-Way Between-Groups Anova

One-Way Within-Groups Anova

Two-Way Between-Groups Anova

Correlation

Regression

Chi-Square Tess

Choosing and Reporting Statistics

Filters

Any raw score can be converted into a z score as long as you know the _ and _ of the distribution.