Question 1

Explain the difference between the null hypothesis and a research hypothesis.

Accepted Answer

The null hypothesis is a state

Question 2

If the null hypothesis states that there will be no difference in the average score of 9th graders and the average score of 12th graders on the ABC memory test, how should you state the nondirectional research hypothesis?

Accepted Answer

The nondirectional research hy

Question 3

Which of the following provides a measure of how well your sample approximates the population?

Accepted Answer

A)  Generalizability 
B)  Population 
C)  Sampling error 
D)  Hypothesis 
A)  Generalizability 
B)  Population 
C)  Sampling error 
D)  Hypothesis

Question 4

What type of hypothesis shows no relationship between the variables in your study?

Accepted Answer

A)  Directional hypothesis 
B)  Nondirectional hypothesis 
C)  Research hypothesis 
D)  Null hypothesis 
A)  Directional hypothesis 
B)  Nondirectional hypothesis 
C)  Research hypothesis 
D)  Null hypothesis

Question 5

Which of the following represents a nondirectional research hypothesis?

Accepted Answer

A)  $H _ { 1 } : \bar { X } _ { 1 } > \bar { X } _ { 2 }$ 
B)  $H _ { 0 } : \mu _ { 1 } = \mu _ { 2 }$ 
C)  $H _ { 1 : } : \bar { X } _ { 2 } \neq \bar { X } _ { 2 }$ 
D)  $H _ { 0 } : \mu _ { 1 } > \mu _ { 2 }$ 
A)  $H _ { 1 } : \bar { X } _ { 1 } > \bar { X } _ { 2 }$ 
B)  $H _ { 0 } : \mu _ { 1 } = \mu _ { 2 }$ 
C)  $H _ { 1 : } : \bar { X } _ { 2 } \neq \bar { X } _ { 2 }$ 
D)  $H _ { 0 } : \mu _ { 1 } > \mu _ { 2 }$

Question 6

What are the different types of research hypotheses? What are they testing?

Accepted Answer

A nondirectional hypothesis states that

Question 7

Which of the following represents a directional research hypothesis?

Accepted Answer

A)  $H _ { 1 } : \bar { X } _ { 1 } > \bar { X } _ { 2 }$ 
B)  $H _ { 0 } : \mu _ { 1 } = \mu _ { 2 }$ 
C)  $H _ { 1 : } : \bar { X } _ { 2 } \neq \bar { X } _ { 2 }$ 
D)  $H _ { 0 } : \mu _ { 1 } > \mu _ { 2 }$ 
A)  $H _ { 1 } : \bar { X } _ { 1 } > \bar { X } _ { 2 }$ 
B)  $H _ { 0 } : \mu _ { 1 } = \mu _ { 2 }$ 
C)  $H _ { 1 : } : \bar { X } _ { 2 } \neq \bar { X } _ { 2 }$ 
D)  $H _ { 0 } : \mu _ { 1 } > \mu _ { 2 }$

Question 8

What type of hypothesis posits a difference between groups where the difference is specified?

Accepted Answer

A)  Directional hypothesis 
B)  Nondirectional hypothesis 
C)  Research hypothesis 
D)  Null hypothesis 
A)  Directional hypothesis 
B)  Nondirectional hypothesis 
C)  Research hypothesis 
D)  Null hypothesis

Question 9

What is a hypothesis?

Accepted Answer

An "educated guess"

Question 10

Which of the following symbols represents the theoretical average of the population for Group 1?

Accepted Answer

A)  $H _ { 1 }$ 
B)  $\mu 1$ 
C)  $\bar { X } 1$ 
D)  $H _ { 0 }$ 
A)  $H _ { 1 }$ 
B)  $\mu 1$ 
C)  $\bar { X } 1$ 
D)  $H _ { 0 }$

Explain the difference between the null hypothesis and a research hypothesis.

If the null hypothesis states that there will be no difference in the average score of 9th graders and the average score of 12th graders on the ABC memory test, how should you state the nondirectional research hypothesis?

Which of the following provides a measure of how well your sample approximates the population?

What type of hypothesis shows no relationship between the variables in your study?

Which of the following represents a nondirectional research hypothesis?

What are the different types of research hypotheses? What are they testing?

Which of the following represents a directional research hypothesis?

What type of hypothesis posits a difference between groups where the difference is specified?

What is a hypothesis?

Which of the following symbols represents the theoretical average of the population for Group 1?

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

Are Your Curves Normal? Probability and Why It Counts

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 7: Hypotheticals and You: Testing Your Questions

Explain the difference between the null hypothesis and a research hypothesis.

If the null hypothesis states that there will be no difference in the average score of 9th graders and the average score of 12th graders on the ABC memory test, how should you state the nondirectional research hypothesis?

Which of the following provides a measure of how well your sample approximates the population?

What type of hypothesis shows no relationship between the variables in your study?

Which of the following represents a nondirectional research hypothesis?

What are the different types of research hypotheses? What are they testing?

Which of the following represents a directional research hypothesis?

What type of hypothesis posits a difference between groups where the difference is specified?

What is a hypothesis?

Which of the following symbols represents the theoretical average of the population for Group 1?

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

Are Your Curves Normal? Probability and Why It Counts

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