Classify variables as numerical or categorical

Define “statistics”
Identify the variable in a research scenario
Distinguish between a population and a sample
Classify variables as numerical or categorical
Compute frequencies and percentages from two-way tables
Distinguish between experiments and observational studies
Identify the treatment and outcome variables in an experiment or observational study
Identify the treatment and control group in an experiment or observational study
Determine when we can or cannot establish causality in our research
Module 2
Describe the distribution of a data set
Create a dotplot and interpret
Create a histogram and interpret
Identify the typical value of a data set from a given graph
Identify the distribution shape of a given graph
Recognize outliers in a given distribution
Differentiate between high and low variability in a distribution
Create and interpret a bar, Pareto, and pie charts
Determine the mode of a data set
Compute and interpret the mean
Compute and interpret the standard deviation
Compute and interpret the median
Compute and interpret the IQR
Determine which measures of center and spread to use with which distributions
Identify measure that are resistant to outliers
Compute the five-number summary
Use the “fence” method to find potential outliers
Create and interpret a boxplot.

Sample Solution