Question 1

The complement of an event is ______.

Accepted Answer

A)  the set of all outcomes that are not the event of interest 
B)  the set of all outcomes that are and are not the event of interest 
C)  an event that is very similar to the event of interest 
D)  works alongside the event of interest 
A)  the set of all outcomes that are not the event of interest 
B)  the set of all outcomes that are and are not the event of interest 
C)  an event that is very similar to the event of interest 
D)  works alongside the event of interest

Question 2

The risk we take in rejecting a true null hypothesis is called ______.

Accepted Answer

A)  significance or alpha ( α) 
B)  assumption of null hypothesis 
C)  statistical power 
D)  type II error 
A)  significance or alpha ( α) 
B)  assumption of null hypothesis 
C)  statistical power 
D)  type II error

Question 3

When testing the null hypothesis a researcher begins with the assumption that ______.

Accepted Answer

A)  the researcher can prove the null hypothesis is false 
B)  the researcher can prove the alternative hypothesis is false 
C)  the alternative hypothesis is true 
D)  the null hypothesis is true 
A)  the researcher can prove the null hypothesis is false 
B)  the researcher can prove the alternative hypothesis is false 
C)  the alternative hypothesis is true 
D)  the null hypothesis is true

Question 4

Probability would fall into the class of ______.

Accepted Answer

A)  descriptive statistics 
B)  inferential statistics 
C)  causal statistics 
D)  generalizability statistics 
A)  descriptive statistics 
B)  inferential statistics 
C)  causal statistics 
D)  generalizability statistics

Question 5

For every normal distribution, .3413 (34.13%) of the are under the curve lies between the mean and a point that is one standard deviation either to the right or the left of the mean.

Accepted Answer

A) True 
 B)False

The complement of an event is ______.

The risk we take in rejecting a true null hypothesis is called ______.

When testing the null hypothesis a researcher begins with the assumption that ______.

Probability would fall into the class of ______.

For every normal distribution, .3413 (34.13%) of the are under the curve lies between the mean and a point that is one standard deviation either to the right or the left of the mean.

The Importance of Statistics in the Criminological Sciences or Why Do I Have to Learn This Stuff

Levels of Measurement and Aggregation

Data Visualization Techniques: Ways of Understanding Data Distributions

Measures of Central Tendency

Measures of Dispersion

Point Estimation and Confidence Intervals

From Estimation to Statistical Tests: Hypothesis Testing for One Population Mean and Proportion

Testing Hypotheses With Categorical Data

Hypothesis Tests Involving Two Population Means or Proportions

Hypothesis Involving Three or More Population Means: Analysis of Variance

Bivariate Correlation and Regression

Controlling for a Third Variable: Multiple OlS Regression

Regression Analysis With a Dichotomous Dependent Variable: Logit Models

Filters

Exam 6: Probability, Probability Distributions, and an Introduction to Inferential Statistics

The complement of an event is ______.

The risk we take in rejecting a true null hypothesis is called ______.

When testing the null hypothesis a researcher begins with the assumption that ______.

Probability would fall into the class of ______.

For every normal distribution, .3413 (34.13%) of the are under the curve lies between the mean and a point that is one standard deviation either to the right or the left of the mean.

The Importance of Statistics in the Criminological Sciences or Why Do I Have to Learn This Stuff

Levels of Measurement and Aggregation

Data Visualization Techniques: Ways of Understanding Data Distributions

Measures of Central Tendency

Measures of Dispersion

Point Estimation and Confidence Intervals

From Estimation to Statistical Tests: Hypothesis Testing for One Population Mean and Proportion

Testing Hypotheses With Categorical Data

Hypothesis Tests Involving Two Population Means or Proportions

Hypothesis Involving Three or More Population Means: Analysis of Variance

Bivariate Correlation and Regression

Controlling for a Third Variable: Multiple OlS Regression

Regression Analysis With a Dichotomous Dependent Variable: Logit Models

Filters