Question 1

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

Accepted Answer

A) True 
 B)False

Question 2

Findings that are in the most extreme _____ percent are considered significant and worthy of publishing.

Accepted Answer

A)  1 
B)  5 
C)  10 
D)  50 
A)  1 
B)  5 
C)  10 
D)  50

Question 3

A z statistic is used to refer to a distribution of scores.

Accepted Answer

A) True 
 B)False

Question 4

When calculating a z score for a distribution of means, the z score is referred to as a:

Accepted Answer

A)  standard score. 
B)  standardized score. 
C)  z statistic. 
D)  central limit theorem. 
A)  standard score. 
B)  standardized score. 
C)  z statistic. 
D)  central limit theorem.

Question 5

A(n) _____ is the number of standard deviations a score is from the mean.

Accepted Answer

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

Question 6

_____ is the symbol that describes the spread of means.

Accepted Answer

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

Question 7

A distribution of means would be more likely to have a(n) _____ compared to a distribution of raw scores.

Accepted Answer

A)  higher variance 
B)  lower variance 
C)  higher standard deviation 
D)  equal standard deviation 
A)  higher variance 
B)  lower variance 
C)  higher standard deviation 
D)  equal standard deviation

Question 8

Approximately _____ percent of scores fall within 1 standard deviation from the mean.

Accepted Answer

A)  50 
B)  68 
C)  80 
D)  98 
A)  50 
B)  68 
C)  80 
D)  98

Question 9

Which of these z scores from a single distribution of scores corresponds to the raw score farthest from the mean of the distribution?

Accepted Answer

A)  -1.4 
B)  -05 
C)  0.2 
D)  1.6 
A)  -1.4 
B)  -05 
C)  0.2 
D)  1.6

Question 10

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

Accepted Answer

A) True 
 B)False

Question 11

Compared to a distribution of scores, the distribution of means has less spread because:

Accepted Answer

A)  extreme scores are averaged with less extreme scores or those in the opposite direction. 
B)  sample size is smaller for means than for scores. 
C)  standard error replaces standard deviation. 
D)  central tendency pulls scores to the mean, resulting in less variability. 
A)  extreme scores are averaged with less extreme scores or those in the opposite direction. 
B)  sample size is smaller for means than for scores. 
C)  standard error replaces standard deviation. 
D)  central tendency pulls scores to the mean, resulting in less variability.

Question 12

The central limit theorem asserts that as sample size increases:

Accepted Answer

A)  the standard error increases. 
B)  the distribution of means becomes more normal. 
C)  the means become more dispersed with greater variability. 
D)  our confidence in the results decreases. 
A)  the standard error increases. 
B)  the distribution of means becomes more normal. 
C)  the means become more dispersed with greater variability. 
D)  our confidence in the results decreases.

Question 13

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

Accepted Answer

A) True 
 B)False

Question 14

_____ is the symbol that describes the spread of scores.

Accepted Answer

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

Question 15

Approximately _____ percent of scores fall within 2 standard deviations from the mean.

Accepted Answer

A)  48 
B)  50 
C)  96 
D)  98 
A)  48 
B)  50 
C)  96 
D)  98

Question 16

Means are less extreme than scores because, with means, extreme observations are combined with more average observations or scores in the opposite direction.

Accepted Answer

A) True 
 B)False

Question 17

Repeated sampling of _____ approximates a normal curve, even when the underlying population is skewed.

Accepted Answer

A)  means 
B)  standard deviations 
C)  variance estimates 
D)  population parameters 
A)  means 
B)  standard deviations 
C)  variance estimates 
D)  population parameters

Question 18

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

Accepted Answer

A) True 
 B)False

Question 19

The formula for calculating a z score is:

Accepted Answer

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

Question 20

The mean of the distribution of a set of z scores is:

Accepted Answer

A)  always 0. 
B)  always 1. 
C)  the same as the mean of the distribution of raw scores. 
D)  the score corresponding to the 50th percentile in the raw score distribution. 
A)  always 0. 
B)  always 1. 
C)  the same as the mean of the distribution of raw scores. 
D)  the score corresponding to the 50th percentile in the raw score distribution.

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

Findings that are in the most extreme _____ percent are considered significant and worthy of publishing.

A z statistic is used to refer to a distribution of scores.

When calculating a z score for a distribution of means, the z score is referred to as a:

A(n) _____ is the number of standard deviations a score is from the mean.

_____ is the symbol that describes the spread of means.

A distribution of means would be more likely to have a(n) _____ compared to a distribution of raw scores.

Approximately _____ percent of scores fall within 1 standard deviation from the mean.

Which of these z scores from a single distribution of scores corresponds to the raw score farthest from the mean of the distribution?

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

Compared to a distribution of scores, the distribution of means has less spread because:

The central limit theorem asserts that as sample size increases:

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

_____ is the symbol that describes the spread of scores.

Approximately _____ percent of scores fall within 2 standard deviations from the mean.

Means are less extreme than scores because, with means, extreme observations are combined with more average observations or scores in the opposite direction.

Repeated sampling of _____ approximates a normal curve, even when the underlying population is skewed.

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

The formula for calculating a z score is:

The mean of the distribution of a set of z scores is:

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 is the distance a score is from the mean of its distribution, expressed in standard deviations.

Findings that are in the most extreme _____ percent are considered significant and worthy of publishing.

A z statistic is used to refer to a distribution of scores.

When calculating a z score for a distribution of means, the z score is referred to as a:

A(n) _____ is the number of standard deviations a score is from the mean.

_____ is the symbol that describes the spread of means.

A distribution of means would be more likely to have a(n) _____ compared to a distribution of raw scores.

Approximately _____ percent of scores fall within 1 standard deviation from the mean.

Which of these z scores from a single distribution of scores corresponds to the raw score farthest from the mean of the distribution?

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

Compared to a distribution of scores, the distribution of means has less spread because:

The central limit theorem asserts that as sample size increases:

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

_____ is the symbol that describes the spread of scores.

Approximately _____ percent of scores fall within 2 standard deviations from the mean.

Means are less extreme than scores because, with means, extreme observations are combined with more average observations or scores in the opposite direction.

Repeated sampling of _____ approximates a normal curve, even when the underlying population is skewed.

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

The formula for calculating a z score is:

The mean of the distribution of a set of z scores is:

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