Question 1

Which of the following is not a step to locate a proportion in a normal distribution?

Accepted Answer

A)  transform a raw score (x) into a z score 
B)  locate the corresponding proportion for the z score in the unit normal table 
C)  convert a proportion to a standard normal z score 
A)  transform a raw score (x) into a z score 
B)  locate the corresponding proportion for the z score in the unit normal table 
C)  convert a proportion to a standard normal z score C

Question 2

The ______ converts any normal distribution with any mean and any variance to a standard normal distribution with a mean of 0 and variance of 1.

Accepted Answer

A)  normal distribution 
B)  standard normal distribution 
C)  standard normal transformation 
D)  unit normal table 
A)  normal distribution 
B)  standard normal distribution 
C)  standard normal transformation 
D)  unit normal table C

Question 3

An example of a binomial variable includes

Accepted Answer

A)  time (in seconds). 
B)  weight (in pounds). 
C)  sex (male, female). 
D)  all of these. 
A)  time (in seconds). 
B)  weight (in pounds). 
C)  sex (male, female). 
D)  all of these. C

Question 4

What is the implication for the tails of a normal distribution being asymptotic?

Accepted Answer

A)  that scores above the mean are distributed the same as scores below the mean 
B)  that extreme scores are possible in the tails of a normal distribution 
C)  that there are an infinite number of possible normal distributions 
D)  that this characteristic has no practical implication 
A)  that scores above the mean are distributed the same as scores below the mean 
B)  that extreme scores are possible in the tails of a normal distribution 
C)  that there are an infinite number of possible normal distributions 
D)  that this characteristic has no practical implication

Question 5

In a normal distribution,the probability of a score above -1.0 SD is equal to the probability of a score below +1.0 SD.

Accepted Answer

A) True 
 B)False

Question 6

The binomial probability distribution is distributed with and .

Accepted Answer

A) True 
 B)False

Question 7

Which of the following is required to locate z scores with a given proportion?

Accepted Answer

A)  find the z score associated with a given probability 
B)  compute a z transformation to find the raw score 
C)  find the z score associated with a given probability and compute a z transformation to find the raw score 
D)  none of these 
A)  find the z score associated with a given probability 
B)  compute a z transformation to find the raw score 
C)  find the z score associated with a given probability and compute a z transformation to find the raw score 
D)  none of these

Question 8

An assumption of normality is largely used for statistical inference and theory.

Accepted Answer

A) True 
 B)False

Question 9

For a set of data with 5 ± 1.5,at least 95% of scores are greater than 3.0.

Accepted Answer

A) True 
 B)False

Question 10

The normal distribution is symmetrical,which means that

Accepted Answer

A)  scores above the mean are distributed the same as scores below the mean. 
B)  extreme scores are possible in a normal distribution. 
C)  there are an infinite number of possible normal distributions. 
D)  this characteristic has no practical implication. 
A)  scores above the mean are distributed the same as scores below the mean. 
B)  extreme scores are possible in a normal distribution. 
C)  there are an infinite number of possible normal distributions. 
D)  this characteristic has no practical implication.

Question 11

A counselor records the number of disagreements (per session)among couples during group counseling sessions.If the number of disagreements is distributed normally as 4.4 ± 0.4 (M ± SD)disagreements,then what proportion of couples disagree at least four times during each counseling session?

Accepted Answer

A)  .3413 
B)  .1587 
C)  .8413 
D)  The probability is not listed in the unit normal table. 
A)  .3413 
B)  .1587 
C)  .8413 
D)  The probability is not listed in the unit normal table.

Question 12

A binomial probability distribution is the distribution of random outcomes for a bivariate or dichotomous random variable.

Accepted Answer

A) True 
 B)False

Question 13

The mean can take on any value and the standard deviation can take on any positive value.Therefore,

Accepted Answer

A)  scores above the mean are distributed the same as scores below the mean. 
B)  extreme scores are possible in a normal distribution. 
C)  there are an infinite number of possible normal distributions. 
D)  this characteristic has no practical implication. 
A)  scores above the mean are distributed the same as scores below the mean. 
B)  extreme scores are possible in a normal distribution. 
C)  there are an infinite number of possible normal distributions. 
D)  this characteristic has no practical implication.

Question 14

A researcher records the following body mass index (BMI)scores for a group of participants: 28.4 ± 1.6 (M ± SD).Participants who score between 25 and 30 on this scale are categorized as overweight.What percentage of participants fell in this overweight category?

Accepted Answer

A)  .4834 
B)  .1753 
C)  .8413 
D)  .8247 
A)  .4834 
B)  .1753 
C)  .8413 
D)  .8247

Question 15

Scores far from the mean are located in the ______ of a normal distribution.

Accepted Answer

A)  body 
B)  tails 
C)  most sensitive areas 
D)  most uncertain areas 
A)  body 
B)  tails 
C)  most sensitive areas 
D)  most uncertain areas

Question 16

Which of the following is required to locate proportions of area under the normal curve?

Accepted Answer

A)  compute a z-transformation 
B)  find the probability of a z score in the unit normal table 
C)  compute a z-transformation and find the probability of a z score in the unit normal table 
D)  none of these 
A)  compute a z-transformation 
B)  find the probability of a z score in the unit normal table 
C)  compute a z-transformation and find the probability of a z score in the unit normal table 
D)  none of these

Question 17

The standard deviation and the mean can equal 0 in a data set that is normally distributed.

Accepted Answer

A) True 
 B)False

Question 18

In a hypothetical job field,10% of workers are promoted within their first year of employment.For this hypothetical job field,what is the probability that exactly 25 workers were promoted in their first year in a random sample of 200 workers? Hint: This is a binomial distribution,where p = .10 and q = .90.

Accepted Answer

A)  less than 5% 
B)  greater than 95% 
C)  between 5% and 6% 
D)  between 15% and 16% 
A)  less than 5% 
B)  greater than 95% 
C)  between 5% and 6% 
D)  between 15% and 16%

Question 19

Data are normally distributed as 12.5 ± 0.5 (M ± SD).A score of 13.2 marks the top 30% of scores in this distribution.

Accepted Answer

A) True 
 B)False

Question 20

In a normal distribution,the probability of a score above the mean is larger than the probability of a score between first standard deviation above and below the mean.

Accepted Answer

A) True 
 B)False

Which of the following is not a step to locate a proportion in a normal distribution?

The ______ converts any normal distribution with any mean and any variance to a standard normal distribution with a mean of 0 and variance of 1.

An example of a binomial variable includes

What is the implication for the tails of a normal distribution being asymptotic?

In a normal distribution,the probability of a score above -1.0 SD is equal to the probability of a score below +1.0 SD.

The binomial probability distribution is distributed with and .

Which of the following is required to locate z scores with a given proportion?

An assumption of normality is largely used for statistical inference and theory.

For a set of data with 5 ± 1.5,at least 95% of scores are greater than 3.0.

The normal distribution is symmetrical,which means that

A counselor records the number of disagreements (per session)among couples during group counseling sessions.If the number of disagreements is distributed normally as 4.4 ± 0.4 (M ± SD)disagreements,then what proportion of couples disagree at least four times during each counseling session?

A binomial probability distribution is the distribution of random outcomes for a bivariate or dichotomous random variable.

The mean can take on any value and the standard deviation can take on any positive value.Therefore,

A researcher records the following body mass index (BMI)scores for a group of participants: 28.4 ± 1.6 (M ± SD).Participants who score between 25 and 30 on this scale are categorized as overweight.What percentage of participants fell in this overweight category?

Scores far from the mean are located in the ______ of a normal distribution.

Which of the following is required to locate proportions of area under the normal curve?

The standard deviation and the mean can equal 0 in a data set that is normally distributed.

Data are normally distributed as 12.5 ± 0.5 (M ± SD).A score of 13.2 marks the top 30% of scores in this distribution.

In a normal distribution,the probability of a score above the mean is larger than the probability of a score between first standard deviation above and below the mean.

Introduction to Statistics

Summarizing Data: Frequency Distributions in Tables and Graphs

Summarizing Data: Central Tendency

Summarizing Data: Variability

Probability

Probability and Sampling Distributions

Hypothesis Testing: Significance,effect Size,and Power

Testing Means: One-Sample and Two-Independent-Sample T Tests

Testing Means: Truehe Related-Samples T Test

Estimation and Confidence Intervals

Analysis of Variance: One-Way Between-Subjects Design

Analysis of Variance: One-Way Within-Subjects Repeated-Measuresdesign

Analysis of Variance: Two-Way Between-Subjects Factorial Design

Correlation

Linear Regression and Multiple Regression

Nonparametric Tests: Chi-Square Tests

Nonparametric Tests: Tests for Ordinal Data

Filters

Exam 6: Probability, normal Distributions, and Z Scores

Which of the following is not a step to locate a proportion in a normal distribution?

The ______ converts any normal distribution with any mean and any variance to a standard normal distribution with a mean of 0 and variance of 1.

An example of a binomial variable includes

What is the implication for the tails of a normal distribution being asymptotic?

In a normal distribution,the probability of a score above -1.0 SD is equal to the probability of a score below +1.0 SD.

The binomial probability distribution is distributed with and .

Which of the following is required to locate z scores with a given proportion?

An assumption of normality is largely used for statistical inference and theory.

For a set of data with 5 ± 1.5,at least 95% of scores are greater than 3.0.

The normal distribution is symmetrical,which means that

A counselor records the number of disagreements (per session)among couples during group counseling sessions.If the number of disagreements is distributed normally as 4.4 ± 0.4 (M ± SD)disagreements,then what proportion of couples disagree at least four times during each counseling session?

A binomial probability distribution is the distribution of random outcomes for a bivariate or dichotomous random variable.

The mean can take on any value and the standard deviation can take on any positive value.Therefore,

A researcher records the following body mass index (BMI)scores for a group of participants: 28.4 ± 1.6 (M ± SD).Participants who score between 25 and 30 on this scale are categorized as overweight.What percentage of participants fell in this overweight category?

Scores far from the mean are located in the ______ of a normal distribution.

Which of the following is required to locate proportions of area under the normal curve?

The standard deviation and the mean can equal 0 in a data set that is normally distributed.

Data are normally distributed as 12.5 ± 0.5 (M ± SD).A score of 13.2 marks the top 30% of scores in this distribution.

In a normal distribution,the probability of a score above the mean is larger than the probability of a score between first standard deviation above and below the mean.

Introduction to Statistics

Summarizing Data: Frequency Distributions in Tables and Graphs

Summarizing Data: Central Tendency

Summarizing Data: Variability

Probability

Probability and Sampling Distributions

Hypothesis Testing: Significance,effect Size,and Power

Testing Means: One-Sample and Two-Independent-Sample T Tests

Testing Means: Truehe Related-Samples T Test

Estimation and Confidence Intervals

Analysis of Variance: One-Way Between-Subjects Design

Analysis of Variance: One-Way Within-Subjects Repeated-Measuresdesign

Analysis of Variance: Two-Way Between-Subjects Factorial Design

Correlation

Linear Regression and Multiple Regression

Nonparametric Tests: Chi-Square Tests

Nonparametric Tests: Tests for Ordinal Data

Filters