Question 1

The percentage of area under the curve for a negative z score will be negative.

Accepted Answer

A) True 
 B)False

Question 2

The standard deviation of a distribution of means will be larger than the standard deviation of a distribution of scores.

Accepted Answer

A) True 
 B)False

Question 3

The z distribution is a normal distribution of _____ scores.

Accepted Answer

A)  sample mean 
B)  population mean 
C)  standardized 
D)  raw 
A)  sample mean 
B)  population mean 
C)  standardized 
D)  raw

Question 4

Given the properties of the standard normal curve, we know that _____ percent of all scores fall below the mean and _____ percent fall above the mean.

Accepted Answer

A)  68; 68 
B)  50; 50 
C)  34; 34 
D)  48; 48 
A)  68; 68 
B)  50; 50 
C)  34; 34 
D)  48; 48

Question 5

Two percent of scores fall between the z scores _____ and _____.

Accepted Answer

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

Question 6

According to the _____, as the size of the distribution of means increases, it assumes a normal shape.

Accepted Answer

A)  standard normal curve 
B)  central limit theorem 
C)  law of applied statistics 
D)  characteristics of the standard error 
A)  standard normal curve 
B)  central limit theorem 
C)  law of applied statistics 
D)  characteristics of the standard error

Question 7

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

Accepted Answer

A) True 
 B)False

Question 8

If you have a z score of 1, then you have a raw score equal to the mean.

Accepted Answer

A) True 
 B)False

Question 9

Approximately _____ percent of scores fall between the mean and a z score of -2.

Accepted Answer

A)  32 
B)  34 
C)  48 
D)  50 
A)  32 
B)  34 
C)  48 
D)  50

Question 10

A _____ represents the number of standard deviations a particular score is from the mean average.

Accepted Answer

A)  z score 
B)  standard mean 
C)  standardization score 
D)  skewed score 
A)  z score 
B)  standard mean 
C)  standardization score 
D)  skewed score

Question 11

In a distribution with a mean of 150 and a standard deviation of 20, a z score of -2.0 would convert into a raw score of 120.

Accepted Answer

A) True 
 B)False

Question 12

The process of standardization involves the conversion of raw scores to _____ scores.

Accepted Answer

A)  linear 
B)  standard 
C)  normal 
D)  nonlinear 
A)  linear 
B)  standard 
C)  normal 
D)  nonlinear

Question 13

When creating a distribution of means, it is important that whatever scores are sampled to compute the means are:

Accepted Answer

A)  placed back into the population for additional sampling. 
B)  separated out from the population so that they cannot be resampled. 
C)  recorded in order to create a distribution of scores. 
D)  balanced across the mean so that extreme scores are controlled. 
A)  placed back into the population for additional sampling. 
B)  separated out from the population so that they cannot be resampled. 
C)  recorded in order to create a distribution of scores. 
D)  balanced across the mean so that extreme scores are controlled.

Question 14

Approximately _____ percent of scores fall between the mean and a z score of 1.

Accepted Answer

A)  32 
B)  34 
C)  48 
D)  50 
A)  32 
B)  34 
C)  48 
D)  50

Question 15

_____ is the symbol that represents standard error.

Accepted Answer

A)  $\mu  $ 
B)  $\sigma  $ 
C)  $\mu  $M 
D)  $\sigma  $M 
A)  $\mu  $ 
B)  $\sigma  $ 
C)  $\mu  $M 
D)  $\sigma  $M

Question 16

A z score allows assessment of the percentile of a raw score, but an equivalent assessment of a sample mean cannot be made.

Accepted Answer

A) True 
 B)False

Question 17

z scores allow comparison of scores from:

Accepted Answer

A)  different distributions. 
B)  linear distributions. 
C)  nonlinear distributions. 
D)  standard errors. 
A)  different distributions. 
B)  linear distributions. 
C)  nonlinear distributions. 
D)  standard errors.

Question 18

A z score computed for a sample mean is called a z statistic.

Accepted Answer

A) True 
 B)False

Question 19

A positive z score will convert into a raw score that is above the mean of its distribution.

Accepted Answer

A) True 
 B)False

Question 20

The standard deviation of a distribution of sample means is smaller than the standard deviation of the population when the sample size is 2.

Accepted Answer

A) True 
 B)False

The percentage of area under the curve for a negative z score will be negative.

The standard deviation of a distribution of means will be larger than the standard deviation of a distribution of scores.

The z distribution is a normal distribution of _____ scores.

Given the properties of the standard normal curve, we know that _ percent of all scores fall below the mean and _ percent fall above the mean.

Two percent of scores fall between the z scores _ and _.

According to the _____, as the size of the distribution of means increases, it assumes a normal shape.

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

If you have a z score of 1, then you have a raw score equal to the mean.

Approximately _____ percent of scores fall between the mean and a z score of -2.

A _____ represents the number of standard deviations a particular score is from the mean average.

In a distribution with a mean of 150 and a standard deviation of 20, a z score of -2.0 would convert into a raw score of 120.

The process of standardization involves the conversion of raw scores to _____ scores.

When creating a distribution of means, it is important that whatever scores are sampled to compute the means are:

Approximately _____ percent of scores fall between the mean and a z score of 1.

_____ is the symbol that represents standard error.

A z score allows assessment of the percentile of a raw score, but an equivalent assessment of a sample mean cannot be made.

z scores allow comparison of scores from:

A z score computed for a sample mean is called a z statistic.

A positive z score will convert into a raw score that is above the mean of its distribution.

The standard deviation of a distribution of sample means is smaller than the standard deviation of the population when the sample size is 2.

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

The percentage of area under the curve for a negative z score will be negative.

The standard deviation of a distribution of means will be larger than the standard deviation of a distribution of scores.

The z distribution is a normal distribution of _____ scores.

Given the properties of the standard normal curve, we know that _____ percent of all scores fall below the mean and _____ percent fall above the mean.

Two percent of scores fall between the z scores _____ and _____.

According to the _____, as the size of the distribution of means increases, it assumes a normal shape.

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

If you have a z score of 1, then you have a raw score equal to the mean.

Approximately _____ percent of scores fall between the mean and a z score of -2.

A _____ represents the number of standard deviations a particular score is from the mean average.

In a distribution with a mean of 150 and a standard deviation of 20, a z score of -2.0 would convert into a raw score of 120.

The process of standardization involves the conversion of raw scores to _____ scores.

When creating a distribution of means, it is important that whatever scores are sampled to compute the means are:

Approximately _____ percent of scores fall between the mean and a z score of 1.

_____ is the symbol that represents standard error.

A z score allows assessment of the percentile of a raw score, but an equivalent assessment of a sample mean cannot be made.

z scores allow comparison of scores from:

A z score computed for a sample mean is called a z statistic.

A positive z score will convert into a raw score that is above the mean of its distribution.

The standard deviation of a distribution of sample means is smaller than the standard deviation of the population when the sample size is 2.

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

Given the properties of the standard normal curve, we know that _ percent of all scores fall below the mean and _ percent fall above the mean.

Two percent of scores fall between the z scores _ and _.