Question 1

If you want to calculate a z score for a test where your raw score was 24, what other information must you know?

Accepted Answer

A)  Shape of the distribution 
B)  Mean, median, and mode 
C)  Mean and standard deviation 
D)  Standard deviation only 
A)  Shape of the distribution 
B)  Mean, median, and mode 
C)  Mean and standard deviation 
D)  Standard deviation only

Question 2

What percent of all scores fall above a z score of +1?

Accepted Answer

A)  16% 
B)  34% 
C)  50% 
D)  84% 
A)  16% 
B)  34% 
C)  50% 
D)  84%

Question 3

What characteristic of the normal curve deals with skewness?

Accepted Answer

A)  Mean, median, and mode 
B)  Symmetry 
C)  Asymptotic 
D)  Probability 
A)  Mean, median, and mode 
B)  Symmetry 
C)  Asymptotic 
D)  Probability

Question 4

When we want to infer from a sample to the population, what assumption must be met?

Accepted Answer

A)  Sample is normally distributed 
B)  Sample is large 
C)  Population is normally distributed 
D)  Population is large 
A)  Sample is normally distributed 
B)  Sample is large 
C)  Population is normally distributed 
D)  Population is large

Question 5

What is the range of scores represented by a normal distribution with a mean of 100 and a standard deviation of 10?

Accepted Answer

The range of scores represente

Question 6

The study of probability is the basis for the normal curve and the foundation for what type of statistics?

Accepted Answer

The study of probability is th

Question 7

What is the standard used by statisticians to determine the probability of an event occurring outside of chance alone?

Accepted Answer

A)  5% 
B)  25% 
C)  85% 
D)  95% 
A)  5% 
B)  25% 
C)  85% 
D)  95%

Question 8

Which of the following is true of z scores that fall below the mean?

Accepted Answer

A)  They are positive 
B)  They are equal to the mode 
C)  They are negative 
D)  They are in the upper half of the distribution 
A)  They are positive 
B)  They are equal to the mode 
C)  They are negative 
D)  They are in the upper half of the distribution

Question 9

In a distribution with a mean of 100 and a standard deviation of 15, what is the probability that a score will be 115 or higher?

Accepted Answer

A)  16% 
B)  34% 
C)  50% 
D)  84% 
A)  16% 
B)  34% 
C)  50% 
D)  84%

Question 10

What is the basis for the normal curve and inferential statistics?

Accepted Answer

A)  Mean 
B)  Asymptotic 
C)  Probability 
D)  Symmetry 
A)  Mean 
B)  Asymptotic 
C)  Probability 
D)  Symmetry

If you want to calculate a z score for a test where your raw score was 24, what other information must you know?

What percent of all scores fall above a z score of +1?

What characteristic of the normal curve deals with skewness?

When we want to infer from a sample to the population, what assumption must be met?

What is the range of scores represented by a normal distribution with a mean of 100 and a standard deviation of 10?

The study of probability is the basis for the normal curve and the foundation for what type of statistics?

What is the standard used by statisticians to determine the probability of an event occurring outside of chance alone?

Which of the following is true of z scores that fall below the mean?

In a distribution with a mean of 100 and a standard deviation of 15, what is the probability that a score will be 115 or higher?

What is the basis for the normal curve and inferential statistics?

Statistics or Sadistics? It’s Up to You

Means to an End: Computing and Understanding Averages

Vive La Différence: Understanding Variability

A Picture Really Is Worth a Thousand Words

Ice Cream and Crime: Computing Correlation Coefficients

Just the Truth: An Introduction to Understanding Reliability and Validity

Hypotheticals and You: Testing Your Questions

Significantly Significant: What It Means for You and Me

Only the Lonely

t(ea) for Two (Again): Tests Between the Means of Related Groups

t(ea) for Two (Again): Tests Between the Means of Related Groups

Two Groups Too Many? Try Analysis of Variance

Two Too Many Factors: Factorial Analysis of Variance

Cousins or Just Good Friends? Testing Relationships Using the Correlation Coefficient

Predicting Who’ll Win the Super Bowl: Using Linear Regression

What to Do When You’re Not Normal: Chi-Square and Some Other Nonparametric Tests

Some Other (Important) Statistical Procedures You Should Know About

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Exam 8: Are Your Curves Normal? Probability and Why It Counts

If you want to calculate a z score for a test where your raw score was 24, what other information must you know?

What percent of all scores fall above a z score of +1?

What characteristic of the normal curve deals with skewness?

When we want to infer from a sample to the population, what assumption must be met?

What is the range of scores represented by a normal distribution with a mean of 100 and a standard deviation of 10?

The study of probability is the basis for the normal curve and the foundation for what type of statistics?

What is the standard used by statisticians to determine the probability of an event occurring outside of chance alone?

Which of the following is true of z scores that fall below the mean?

In a distribution with a mean of 100 and a standard deviation of 15, what is the probability that a score will be 115 or higher?

What is the basis for the normal curve and inferential statistics?

Statistics or Sadistics? It’s Up to You

Means to an End: Computing and Understanding Averages

Vive La Différence: Understanding Variability

A Picture Really Is Worth a Thousand Words

Ice Cream and Crime: Computing Correlation Coefficients

Just the Truth: An Introduction to Understanding Reliability and Validity

Hypotheticals and You: Testing Your Questions

Significantly Significant: What It Means for You and Me

Only the Lonely

t(ea) for Two (Again): Tests Between the Means of Related Groups

t(ea) for Two (Again): Tests Between the Means of Related Groups

Two Groups Too Many? Try Analysis of Variance

Two Too Many Factors: Factorial Analysis of Variance

Cousins or Just Good Friends? Testing Relationships Using the Correlation Coefficient

Predicting Who’ll Win the Super Bowl: Using Linear Regression

What to Do When You’re Not Normal: Chi-Square and Some Other Nonparametric Tests

Some Other (Important) Statistical Procedures You Should Know About

Filters