Question 1

Standard error is the standard deviation of a distribution of means.

Accepted Answer

A) True 
 B)False

Question 2

The standard deviation of the z distribution is 0.

Accepted Answer

A) True 
 B)False

Question 3

Even when the distribution of scores in the population is not normal, the sampling distribution of the mean will approach normality as sample size increases.

Accepted Answer

A) True 
 B)False

Question 4

The standard deviation of the z distribution is 1.0.

Accepted Answer

A) True 
 B)False

Question 5

In a normal standard curve, approximately _____ percent of scores fall within 2 standard deviations from the mean

Accepted Answer

A)  34 
B)  48 
C)  96 
D)  68 
A)  34 
B)  48 
C)  96 
D)  68

Question 6

A distribution has a mean of 1.57 with a standard deviation of 0.24.A z score of -0.62 converts into a raw score of _____, whereas a z score of 0.62 converts into a raw score of _____.

Accepted Answer

A)  -1.42; 1.72 
B)  -1.81; -1.33 
C)  1.42; 1.72 
D)  1.81; 1.33 
A)  -1.42; 1.72 
B)  -1.81; -1.33 
C)  1.42; 1.72 
D)  1.81; 1.33

Question 7

Gerber and Malhotra (2006) found a suspiciously low number of z scores just outside of the cutoff for significance, indicating that researchers might be encouraged to "beat" the cutoff for significance.

Accepted Answer

A) True 
 B)False

Question 8

Standard error is the variance of a distribution of means.

Accepted Answer

A) True 
 B)False

Question 9

The mean for the population is 80 with a standard deviation of 5.Given a z score of 1.45, what is the raw score?

Accepted Answer

A)  88.00 
B)  90.00 
C)  87.25 
D)  1.00 
A)  88.00 
B)  90.00 
C)  87.25 
D)  1.00

Question 10

On the first statistics exam, the class average was 70 with a standard deviation of 6.Adam scored 82.What is his z score?

Accepted Answer

A)  -1.0 
B)  -2.0 
C)  6.0 
D)  2.0 
A)  -1.0 
B)  -2.0 
C)  6.0 
D)  2.0

Question 11

The z distribution always has a standard deviation of _____.

Accepted Answer

A)  0 
B)  0.5 
C)  1 
D)  10 
A)  0 
B)  0.5 
C)  1 
D)  10

Question 12

The formula (X - $\mu  $)/$\sigma  $ is used to calculate a:

Accepted Answer

A)  raw score. 
B)  standard deviation. 
C)  z score. 
D)  mean distribution. 
A)  raw score. 
B)  standard deviation. 
C)  z score. 
D)  mean distribution.

Question 13

Since one rarely has access to an entire population, one typically calculates the mean of a sample and:

Accepted Answer

A)  compares that to the z distribution. 
B)  computes a standardized score for that mean. 
C)  compares that to a distribution of mean by calculating a z statistic. 
D)  standardizes that using information about the center and spread of the population of scores. 
A)  compares that to the z distribution. 
B)  computes a standardized score for that mean. 
C)  compares that to a distribution of mean by calculating a z statistic. 
D)  standardizes that using information about the center and spread of the population of scores.

Question 14

Approximately _____ percent of scores fall within 3 standard deviations of the mean.

Accepted Answer

A)  100 
B)  96 
C)  50 
D)  34 
A)  100 
B)  96 
C)  50 
D)  34

Question 15

A z score of 0 is equivalent to the:

Accepted Answer

A)  standard deviation. 
B)  mean. 
C)  standard error. 
D)  variance. 
A)  standard deviation. 
B)  mean. 
C)  standard error. 
D)  variance.

Question 16

z scores are useful because they:

Accepted Answer

A)  allow us to convert raw scores to mean scores, compare scores from different samples, and transform populations into samples. 
B)  transform linear scores into nonlinear scores, convert nonlinear scores back into linear scores, and allow us to obtain comparisons between nonlinear and linear scores. 
C)  give us an understanding of where a score falls in relation to the mean of its underlying population, allow comparisons to be made between scores from different distributions, and permit the transformation of z scores into percentiles. 
D)  reduce the probability of Type I and Type II errors, allow us to compare raw scores with standard scores, and permit the transformation of raw scores into percentiles. 
A)  allow us to convert raw scores to mean scores, compare scores from different samples, and transform populations into samples. 
B)  transform linear scores into nonlinear scores, convert nonlinear scores back into linear scores, and allow us to obtain comparisons between nonlinear and linear scores. 
C)  give us an understanding of where a score falls in relation to the mean of its underlying population, allow comparisons to be made between scores from different distributions, and permit the transformation of z scores into percentiles. 
D)  reduce the probability of Type I and Type II errors, allow us to compare raw scores with standard scores, and permit the transformation of raw scores into percentiles.

Question 17

If samples have at least _____ scores, the distribution of means will most likely approximate a normal curve.

Accepted Answer

A)  30 
B)  50 
C)  88 
D)  100 
A)  30 
B)  50 
C)  88 
D)  100

Question 18

The formula for the standard error is:

Accepted Answer

A)  $\sigma _ { M } = \sigma / \sqrt { N }$ 
B)  $\sigma _ { S } = \mu / \sqrt { N }$ 
C)  $\sigma _ { M } = \sum / N$ 
D)  $\sigma _ { S } = \sum / ( N - 1 )$ 
A)  $\sigma _ { M } = \sigma / \sqrt { N }$ 
B)  $\sigma _ { S } = \mu / \sqrt { N }$ 
C)  $\sigma _ { M } = \sum / N$ 
D)  $\sigma _ { S } = \sum / ( N - 1 )$

Question 19

A _____ is a distribution of z scores.

Accepted Answer

A)  normal curve 
B)  z distribution 
C)  standard linear distribution 
D)  standardization 
A)  normal curve 
B)  z distribution 
C)  standard linear distribution 
D)  standardization

Question 20

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

Accepted Answer

A) True 
 B)False

Standard error is the standard deviation of a distribution of means.

The standard deviation of the z distribution is 0.

Even when the distribution of scores in the population is not normal, the sampling distribution of the mean will approach normality as sample size increases.

The standard deviation of the z distribution is 1.0.

In a normal standard curve, approximately _____ percent of scores fall within 2 standard deviations from the mean

A distribution has a mean of 1.57 with a standard deviation of 0.24.A z score of -0.62 converts into a raw score of _, whereas a z score of 0.62 converts into a raw score of _.

Gerber and Malhotra (2006) found a suspiciously low number of z scores just outside of the cutoff for significance, indicating that researchers might be encouraged to "beat" the cutoff for significance.

Standard error is the variance of a distribution of means.

The mean for the population is 80 with a standard deviation of 5.Given a z score of 1.45, what is the raw score?

On the first statistics exam, the class average was 70 with a standard deviation of 6.Adam scored 82.What is his z score?

The z distribution always has a standard deviation of _____.

The formula (X - $\mu$ )/ $\sigma$ is used to calculate a:

Since one rarely has access to an entire population, one typically calculates the mean of a sample and:

Approximately _____ percent of scores fall within 3 standard deviations of the mean.

A z score of 0 is equivalent to the:

z scores are useful because they:

If samples have at least _____ scores, the distribution of means will most likely approximate a normal curve.

The formula for the standard error is:

A _____ is a distribution of z scores.

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

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

Standard error is the standard deviation of a distribution of means.

The standard deviation of the z distribution is 0.

Even when the distribution of scores in the population is not normal, the sampling distribution of the mean will approach normality as sample size increases.

The standard deviation of the z distribution is 1.0.

In a normal standard curve, approximately _____ percent of scores fall within 2 standard deviations from the mean

A distribution has a mean of 1.57 with a standard deviation of 0.24.A z score of -0.62 converts into a raw score of _____, whereas a z score of 0.62 converts into a raw score of _____.

Gerber and Malhotra (2006) found a suspiciously low number of z scores just outside of the cutoff for significance, indicating that researchers might be encouraged to "beat" the cutoff for significance.

Standard error is the variance of a distribution of means.

The mean for the population is 80 with a standard deviation of 5.Given a z score of 1.45, what is the raw score?

On the first statistics exam, the class average was 70 with a standard deviation of 6.Adam scored 82.What is his z score?

The z distribution always has a standard deviation of _____.

The formula (X - μ\mu μ )/ σ\sigma σ is used to calculate a:

Since one rarely has access to an entire population, one typically calculates the mean of a sample and:

Approximately _____ percent of scores fall within 3 standard deviations of the mean.

A z score of 0 is equivalent to the:

z scores are useful because they:

If samples have at least _____ scores, the distribution of means will most likely approximate a normal curve.

The formula for the standard error is:

A _____ is a distribution of z scores.

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

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

A distribution has a mean of 1.57 with a standard deviation of 0.24.A z score of -0.62 converts into a raw score of _, whereas a z score of 0.62 converts into a raw score of _.

The formula (X - $\mu$ )/ $\sigma$ is used to calculate a: