Question 1

The process of standardization converts individual scores from different distributions to a shared distribution with a known:

Accepted Answer

A)  mean and percentile. 
B)  standard deviation and percentile. 
C)  mean and standard deviation. 
D)  mean, standard deviation, and percentile. 
A)  mean and percentile. 
B)  standard deviation and percentile. 
C)  mean and standard deviation. 
D)  mean, standard deviation, and percentile.

Question 2

Distributions of scores approach the normal distribution as the:

Accepted Answer

A)  number of scores increases. 
B)  number of scores decreases. 
C)  variance increases. 
D)  variance decreases. 
A)  number of scores increases. 
B)  number of scores decreases. 
C)  variance increases. 
D)  variance decreases.

Question 3

To compare two scores that are measured on different scales, one needs to transform the scores into:

Accepted Answer

A)  standard deviations. 
B)  means. 
C)  z scores. 
D)  population parameters. 
A)  standard deviations. 
B)  means. 
C)  z scores. 
D)  population parameters.

Question 4

One implication of the central limit theorem is that a distribution of means will be less variable than a distribution of scores taken from the same population.

Accepted Answer

A) True 
 B)False

Question 5

In a normal standard curve, which percentile corresponds to a z score of -1.0?

Accepted Answer

A)  34 
B)  68 
C)  16 
D)  45 
A)  34 
B)  68 
C)  16 
D)  45

Question 6

Irregular patterns of correct answers shared by multiple students on standardized tests have led to speculation that:

Accepted Answer

A)  standardized tests are prone to errors. 
B)  students often cheat on tests by copying from each other. 
C)  teachers may have completed tests for students in order to raise performance levels. 
D)  researchers are motivated to alter data to reach statistical significance. 
A)  standardized tests are prone to errors. 
B)  students often cheat on tests by copying from each other. 
C)  teachers may have completed tests for students in order to raise performance levels. 
D)  researchers are motivated to alter data to reach statistical significance.

Question 7

The symbol for the population standard deviation is:

Accepted Answer

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

Question 8

The _____ is a specific bell-shaped curve.

Accepted Answer

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

Question 9

The z distribution allows one to compare scores to distributions with _____ and means to distributions of means with _____.

Accepted Answer

A)  z scores; z scores 
B)  z scores; z statistics 
C)  z statistics; z scores 
D)  z statistics; z statistics 
A)  z scores; z scores 
B)  z scores; z statistics 
C)  z statistics; z scores 
D)  z statistics; z statistics

Question 10

The term _____ is used for the distribution of means in place of the term standard deviation.

Accepted Answer

A)  standard variance 
B)  population variance 
C)  mean variance 
D)  standard error 
A)  standard variance 
B)  population variance 
C)  mean variance 
D)  standard error

Question 11

The second step in converting a z score into a raw score is:

Accepted Answer

A)  adding the mean of the population to the product obtained from multiplying the z score and standard deviation. 
B)  subtracting the mean of the population from the product obtained by multiplying the z score and standard deviation. 
C)  dividing the mean of the population into the product obtained by multiplying the z score and standard deviation. 
D)  multiplying the mean of the population and the product obtained from multiplying the z score and standard deviation. 
A)  adding the mean of the population to the product obtained from multiplying the z score and standard deviation. 
B)  subtracting the mean of the population from the product obtained by multiplying the z score and standard deviation. 
C)  dividing the mean of the population into the product obtained by multiplying the z score and standard deviation. 
D)  multiplying the mean of the population and the product obtained from multiplying the z score and standard deviation.

Question 12

The formula z($\sigma  $) + $\mu  $ is used to convert a _____ to a _____.

Accepted Answer

A)  raw score; z score 
B)  z score; raw score 
C)  raw score; standard error 
D)  z score; standard error 
A)  raw score; z score 
B)  z score; raw score 
C)  raw score; standard error 
D)  z score; standard error

Question 13

A common measure of spread for a distribution of scores is the standard deviation, and a common measure of spread for a distribution of means is the:

Accepted Answer

A)  standard deviation. 
B)  variance. 
C)  standard error. 
D)  interquartile range. 
A)  standard deviation. 
B)  variance. 
C)  standard error. 
D)  interquartile range.

Question 14

The distribution of means based on a sample size of 20, pulled from a population distribution with a mean of 100 and a standard deviation of 15, would have a standard error of:

Accepted Answer

A)  1.33. 
B)  3.35. 
C)  5.16. 
D)  5.33. 
A)  1.33. 
B)  3.35. 
C)  5.16. 
D)  5.33.

Question 15

At a z score of 0, your score is at the 50th percentile.

Accepted Answer

A) True 
 B)False

Question 16

For a distribution of scores, the standard deviation is 30.If we create a distribution of means based on a sample size of 10, what is the standard error?

Accepted Answer

A)  0.33 
B)  3.00 
C)  5.48 
D)  9.49 
A)  0.33 
B)  3.00 
C)  5.48 
D)  9.49

Question 17

Sample means based on at least _____ scores tend to approximate a normal distribution, even when the underlying population is skewed.

Accepted Answer

A)  10 
B)  25 
C)  30 
D)  50 
A)  10 
B)  25 
C)  30 
D)  50

Question 18

Because of _____, skewed distributions approximate normal curves when means are based on larger samples.

Accepted Answer

A)  kurtosis 
B)  the central limit theorem 
C)  hypothesis testing 
D)  z scores 
A)  kurtosis 
B)  the central limit theorem 
C)  hypothesis testing 
D)  z scores

Question 19

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

Accepted Answer

A) True 
 B)False

Question 20

The standard deviation of a distribution of means is called the:

Accepted Answer

A)  raw score. 
B)  interval. 
C)  z score. 
D)  standard error. 
A)  raw score. 
B)  interval. 
C)  z score. 
D)  standard error.

The process of standardization converts individual scores from different distributions to a shared distribution with a known:

Distributions of scores approach the normal distribution as the:

To compare two scores that are measured on different scales, one needs to transform the scores into:

One implication of the central limit theorem is that a distribution of means will be less variable than a distribution of scores taken from the same population.

In a normal standard curve, which percentile corresponds to a z score of -1.0?

Irregular patterns of correct answers shared by multiple students on standardized tests have led to speculation that:

The symbol for the population standard deviation is:

The _____ is a specific bell-shaped curve.

The z distribution allows one to compare scores to distributions with _ and means to distributions of means with _.

The term _____ is used for the distribution of means in place of the term standard deviation.

The second step in converting a z score into a raw score is:

The formula z( $\sigma$ ) + $\mu$ is used to convert a _ to a _.

A common measure of spread for a distribution of scores is the standard deviation, and a common measure of spread for a distribution of means is the:

The distribution of means based on a sample size of 20, pulled from a population distribution with a mean of 100 and a standard deviation of 15, would have a standard error of:

At a z score of 0, your score is at the 50th percentile.

For a distribution of scores, the standard deviation is 30.If we create a distribution of means based on a sample size of 10, what is the standard error?

Sample means based on at least _____ scores tend to approximate a normal distribution, even when the underlying population is skewed.

Because of _____, skewed distributions approximate normal curves when means are based on larger samples.

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

The standard deviation of a distribution of means is called the:

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 process of standardization converts individual scores from different distributions to a shared distribution with a known:

Distributions of scores approach the normal distribution as the:

To compare two scores that are measured on different scales, one needs to transform the scores into:

One implication of the central limit theorem is that a distribution of means will be less variable than a distribution of scores taken from the same population.

In a normal standard curve, which percentile corresponds to a z score of -1.0?

Irregular patterns of correct answers shared by multiple students on standardized tests have led to speculation that:

The symbol for the population standard deviation is:

The _____ is a specific bell-shaped curve.

The z distribution allows one to compare scores to distributions with _____ and means to distributions of means with _____.

The term _____ is used for the distribution of means in place of the term standard deviation.

The second step in converting a z score into a raw score is:

The formula z( σ\sigma σ ) + μ\mu μ is used to convert a _____ to a _____.

A common measure of spread for a distribution of scores is the standard deviation, and a common measure of spread for a distribution of means is the:

The distribution of means based on a sample size of 20, pulled from a population distribution with a mean of 100 and a standard deviation of 15, would have a standard error of:

At a z score of 0, your score is at the 50th percentile.

For a distribution of scores, the standard deviation is 30.If we create a distribution of means based on a sample size of 10, what is the standard error?

Sample means based on at least _____ scores tend to approximate a normal distribution, even when the underlying population is skewed.

Because of _____, skewed distributions approximate normal curves when means are based on larger samples.

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

The standard deviation of a distribution of means is called the:

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

The z distribution allows one to compare scores to distributions with _ and means to distributions of means with _.

The formula z( $\sigma$ ) + $\mu$ is used to convert a _ to a _.