Question 1

Each possible occurrence in a probability distribution is called a(n).

Accepted Answer

A) frequency 
B) event 
C) probability 
D) outcome 
A) frequency 
B) event 
C) probability 
D) outcome

Question 2

The range of probabilities for the occurrence of an event.

Accepted Answer

A) is from -1.0 to 0.0 
B) is from -1.0 to +1.0 
C) is from 0.0 to +1.0 
D) depends upon the type of event 
A) is from -1.0 to 0.0 
B) is from -1.0 to +1.0 
C) is from 0.0 to +1.0 
D) depends upon the type of event

Question 3

In a normal distribution, what proportion of scores fall within the interval between the mean to one standard deviation below the mean?

Accepted Answer

A) .1359 
B) .3413 
C) .6826 
D) .8413 
A) .1359 
B) .3413 
C) .6826 
D) .8413

Question 4

If a distribution is normal with μ = 75 and σ = 15, then what proportion of the scores will fall between 45 and 105?

Accepted Answer

A) .3413 
B) .6826 
C) .9544 
D) .9974 
A) .3413 
B) .6826 
C) .9544 
D) .9974

Question 5

A and B are mutually exclusive outcomes in a probability distribution. The p(A) = .24 and the p(B) = .13. The p(A or B) then equals.

Accepted Answer

A) .11 
B) .03 
C) .37 
D) 1.85 
A) .11 
B) .03 
C) .37 
D) 1.85

Question 6

The probability of a discrete event is defined as the number of outcomes comprising the event the total number of possible outcomes in a distribution.

Accepted Answer

A) added to 
B) subtracted from 
C) multiplied by 
D) divided by 
A) added to 
B) subtracted from 
C) multiplied by 
D) divided by

Question 7

For a normally distributed set of scores with, what is the probability of a score being equal to or less than 200? $$\mu = 200 \text { and } \sigma = 20$$

Accepted Answer

A) .3413 
B) .6826 
C) .5000 
D) .9544 
A) .3413 
B) .6826 
C) .5000 
D) .9544

Each possible occurrence in a probability distribution is called a(n).

The range of probabilities for the occurrence of an event.

In a normal distribution, what proportion of scores fall within the interval between the mean to one standard deviation below the mean?

If a distribution is normal with μ = 75 and σ = 15, then what proportion of the scores will fall between 45 and 105?

A and B are mutually exclusive outcomes in a probability distribution. The p(A) = .24 and the p(B) = .13. The p(A or B) then equals.

The probability of a discrete event is defined as the number of outcomes comprising the event the total number of possible outcomes in a distribution.

For a normally distributed set of scores with, what is the probability of a score being equal to or less than 200? $\mu = 200 \text { and } \sigma = 20$

Making Sense of Variability: an Introduction to Statistics

Statistics in the Context of Scientific Research

Looking at Data: Frequency Distributions and Graphs

Looking at Data: Measures of Central Tendency

Looking at Data: Measures of Variability

Understanding Data: Using Statistics for Inference and Estimation

Is There Really a Difference Introduction to Statistical Hypothesis Testing

The Basics of Experimentation and Testing for a Difference Between Means

One-Factor Between-Subjects Analysis of Variance

Two-Factor Between-Subjects Analysis of Variance

One-Factor Within-Subjects Analysis of Variance

Correlation: Understanding Covariation

Regression Analysis: Predicting Linear Relationships

Nonparametric Tests

Filters

Exam 6: The Normal Distribution, Probability, and Standard Scores

Each possible occurrence in a probability distribution is called a(n).

The range of probabilities for the occurrence of an event.

In a normal distribution, what proportion of scores fall within the interval between the mean to one standard deviation below the mean?

If a distribution is normal with μ = 75 and σ = 15, then what proportion of the scores will fall between 45 and 105?

A and B are mutually exclusive outcomes in a probability distribution. The p(A) = .24 and the p(B) = .13. The p(A or B) then equals.

The probability of a discrete event is defined as the number of outcomes comprising the event the total number of possible outcomes in a distribution.

For a normally distributed set of scores with, what is the probability of a score being equal to or less than 200? μ=200 and σ=20\mu = 200 \text { and } \sigma = 20μ=200 and σ=20

Making Sense of Variability: an Introduction to Statistics

Statistics in the Context of Scientific Research

Looking at Data: Frequency Distributions and Graphs

Looking at Data: Measures of Central Tendency

Looking at Data: Measures of Variability

Understanding Data: Using Statistics for Inference and Estimation

Is There Really a Difference Introduction to Statistical Hypothesis Testing

The Basics of Experimentation and Testing for a Difference Between Means

One-Factor Between-Subjects Analysis of Variance

Two-Factor Between-Subjects Analysis of Variance

One-Factor Within-Subjects Analysis of Variance

Correlation: Understanding Covariation

Regression Analysis: Predicting Linear Relationships

Nonparametric Tests

Filters

For a normally distributed set of scores with, what is the probability of a score being equal to or less than 200? $\mu = 200 \text { and } \sigma = 20$