Math 116 and Math 116A– Study Guide for Chapters 1 and 2
Section 1.1
Data
Statistics
Design
Description (Descriptive Statistics)
Inference (Inferential Statistics)
Section 1.2
Subjects
Population
Sample
Descriptive statistics
Inferential statistics
Parameter
Statistic
Random samples
Randomness in experiments
Section 1.3
TI-83,84 graphing calculator
Minitab
StatCrunch
Section 2.1
Individuals
Variable
Quantitative variable (discrete, continuous)
Categorical or qualitative variable
Frequency Tables
Frequencies
Proportions or relative frequencies
Mode
Section 2.2
Graphs for categorical data
Pie chart
Bar graph
Pareto Charts
Graphs for quantitative data
Dot plots
Stem and leaf plots
Histograms
Time plots
Shape of a distribution
Unimodal
Bimodal
Symmetric
Skewed to the left
Skewed to the right
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Section 2.3
Measures of the center of quantitative data
Mean
Median
Mode
Outliers
Comparing mean and median
Resistant
Section 2.4
Measures of variability of quantitative data
Range
Standard deviation
Variance
Empirical rule
Potential outliers rule (more than 3 standard deviations from the mean)
Section 2.5
Measures of position
Percentiles
Quartile
Interquartile range
Detecting potential outliers, the 1.5 IQR rule
Box plot
The five-number summary
Box plot compared to histogram
Side by side box plots
z-scores to identify position and potential outliers
Section 2.2:
In the Multimedia Book for chapter 2 - Within Active Stats
1. Listen to Attributes of Distribution Shape (animated Activity)
2. Listen to “Learn About Stem and Leaf Displays” (animated activity) –
3. Listen to “Meaning of Distribution Shape” – Does the shape of a distribution change if
we add or multiply a number to each of the observations?
4. Listen to “Practice describing the Center” – Describe shape, number of modes, and
deviations from pattern
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