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Chapter 3: Graphs for Categorical data and Numerical data distributions

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Types of data, distributions of data
Erin Vales
Flashcards by Erin Vales, updated more than 1 year ago
Erin Vales
Created by Erin Vales over 6 years ago
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Question Answer
Quantitative variable a variable that takes on numerical values for which arithmetic operations such as differences and averages makes sense - ex. height, weight, IQ, income
Qualitative variable records to which of several groups or categories an individual belongs - ex. marital status, class, occupation, eye color
Distribution of Data the arrangement of data
Bar Graphs / Pie Charts used to graphically display the distribution of a categorical variable
Categorical variable a variable that can take one of a limited, and usually fixed number of possible values
Histograms / Stem and Leaf plots used to graphically display the distribution of a quantitative variable
Creating a Histogram Step 1: Range = Max - Min Step 2: # of class intervals = sqrt(n) where n is number of values Step 3: Length of intervals = Range/# of intervals Step 4: Tally frequency/count and/or % for each class interval
Interpreting Histograms Look at histogram to detect overall pattern and shape Shape --> symmetry, skewness, bimodal Distribution --> shape, center, spread, outliers
Extended Stem and Leaf plots Asterisk = leaf digits beginning with 0 through 4 Bullet = leaf digits beginning with 5 through 9
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