Question 1

What does a histogram show?

Accepted Answer

A) A histogram is a graph in which values of observations are plotted on the horizontal axis,and the frequency with which each value occurs in the data set is plotted on the vertical axis. 
B) A histogram is a graph in which values of observations are plotted on the horizontal axis,and their density is plotted on the vertical axis. 
C) A histogram is a graph in which levels of the independent variable are plotted on the horizontal axis,and the mean of observations is plotted on the vertical axis. 
D) A histogram is a graph in which values of one variable are plotted against values of a different variable. 
A) A histogram is a graph in which values of observations are plotted on the horizontal axis,and the frequency with which each value occurs in the data set is plotted on the vertical axis. 
B) A histogram is a graph in which values of observations are plotted on the horizontal axis,and their density is plotted on the vertical axis. 
C) A histogram is a graph in which levels of the independent variable are plotted on the horizontal axis,and the mean of observations is plotted on the vertical axis. 
D) A histogram is a graph in which values of one variable are plotted against values of a different variable.

Question 2

Imagine we took a group of smokers,recorded how many cigarettes they smoked each day and then split them randomly into one of two 6-week interventions; 'hypnosis' or 'nicotine patch'.After the 6 weeks,we again recorded how many cigarettes they smoked each day and subtracted this number from the number of cigarettes they each smoked pre-intervention,to produce a intervention success score for each participant.Out of the following options,which would be the best method of displaying the results?

Accepted Answer

A) A simple bar chart with the variable 'intervention method' on the y-axis and 'intervention success' on the x-axis. 
B) A simple boxplot with the variable 'intervention method' on the x-axis and 'intervention success' on the y-axis. 
C) A clustered boxplot with 'intervention success' on the y-axis and 'intervention method' on the x-axis 
D) A simple boxplot with the variable 'intervention method' on the y-axis and 'intervention success' on the x-axis. 
A) A simple bar chart with the variable 'intervention method' on the y-axis and 'intervention success' on the x-axis. 
B) A simple boxplot with the variable 'intervention method' on the x-axis and 'intervention success' on the y-axis. 
C) A clustered boxplot with 'intervention success' on the y-axis and 'intervention method' on the x-axis 
D) A simple boxplot with the variable 'intervention method' on the y-axis and 'intervention success' on the x-axis.

Question 3

What is the graph below known as?

Accepted Answer

A) Population pyramid 
B) Stacked histogram 
C) Frequency polygon 
D) Stacked bar chart 
A) Population pyramid 
B) Stacked histogram 
C) Frequency polygon 
D) Stacked bar chart

What does a histogram show?

What is the graph below known as?

Why Is My Evil Lecturer Forcing Me to Learn Statistics

The Spine of Statistics

The Phoenix of Statistics

The Ibm Spss Statistics Environment

The Beast of Bias

Non-Parametric Models

Correlation

Regression

Comparing Two Means

Moderation,mediation and More Regression

Glm 1: Comparing Several Independent Means

Glm 2: Comparing Means Adjusted for Other Predictors Analysis of Covariance

Glm 3: Factorial Designs

Glm 4: Repeated-Measures Designs

Glm 5: Mixed Designs

Multivariate Analysis of Variance Manova

Exploratory Factor Analysis

Categorical Outcomes: Chi-Square and Loglinear Analysis

Categorical Outcomes: Logistic Regression

Multilevel Linear Models

Filters

Exam 5: Exploring Data With Graphs

What does a histogram show?

What is the graph below known as?

Why Is My Evil Lecturer Forcing Me to Learn Statistics

The Spine of Statistics

The Phoenix of Statistics

The Ibm Spss Statistics Environment

The Beast of Bias

Non-Parametric Models

Correlation

Regression

Comparing Two Means

Moderation,mediation and More Regression

Glm 1: Comparing Several Independent Means

Glm 2: Comparing Means Adjusted for Other Predictors Analysis of Covariance

Glm 3: Factorial Designs

Glm 4: Repeated-Measures Designs

Glm 5: Mixed Designs

Multivariate Analysis of Variance Manova

Exploratory Factor Analysis

Categorical Outcomes: Chi-Square and Loglinear Analysis

Categorical Outcomes: Logistic Regression

Multilevel Linear Models

Filters