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The analysis of characteristics of subjects or units of interest |
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Objects described by a set of data (also called subjects) |
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Data elements (data points or observations) |
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Data elements represent a particular measurable characteristic or variable |
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Any characteristic of an individual (or subject) |
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The entire group of all individuals about which we want information |
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Places an individual into one of several groups or categories |
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Takes numerical values for which arithmetic operations such as adding and averaging make sense |
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The values of measurement for quantitative variables |
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Quantitative variables that can take on any real numerical value over an individual (age, height, weight, cholesterol level, and systolic BP) |
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Quantitative variables that can take only a limited (finite) number of values (days in a week, petals in a flower) |
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Categorical variables that can take on a limited number of UNORDERED categories (gender, marital status, race, flower color) |
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Categorical variables that can take on a limited number of ORDERED values or categories (ordered response variables known as Likert scales...really like and dislike...categories for years of education) |
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Distribution of a variable |
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Definition
Tells us what values it takes and how often it takes these values |
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Distribution of a categorical variable |
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Definition
Includes the category, count (or frequency) and percent |
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Definition
Used for CATEGORICAL variables; each bar represents the category and percent of a category. If ordered from tallest to shortest, is known as a Pareto chart. |
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Distribution of a quantitative variable |
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Definition
Includes the class (or grouping) and count within each class |
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Definition
Used to represent QUANTITATIVE variables; each bar represents the frequency (or count) within a class (or grouping).
- choose the classes
- count individuals in each class
- draw histogram |
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The overall pattern of the histogram, including the shape, center and spread |
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The shape includes the number of modes (highest bars). Is the distribution unimodal, bimodal, etc.? |
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The mid-point of the data |
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The range of data from smallest to largest values |
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An individual value that falls outside the overall pattern |
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A distribution is symmetric if the left and right of the distribution are mirror images of each other |
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If the right side extends much farther out than the left side |
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Definition
If the left side extends much farther out than the right side |
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