Categorical variables in statistics examples

    • [DOC File]1

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      Analyses Involving Categorical Dependent Variables. When Dependent Variables are Categorical. Examples:Dependent variable is simply Failure vs. Success. Dependent variable is Lived vs. Died. Dependent variable is Passed vs Failed. You ignored everything I’ve said about . not. categorizing and dichotomized a DV. Chi-square analysis is ...

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    • [DOC File]Graphs used for categorical/qualitative data

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      A (truly) categorical independent variable is typically estimated using "dummy" variables that are not normally distributed. (For example, while case values for the categorical variable Marital Status, for example, might be 1 for Single, 2 for Married, 3 for Divorced, etc., new variables, for example Dummy_Single, Dummy_Married, etc., are ...

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    • [DOC File]JMP TUTORIAL #1 - DESCRIPTIVE METHODS FOR …

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      Summarize, represent, and interpret data on two categorical and quantitative variables. S-ID 5. Summarize categorical data for two categories in two-way frequency tables. Interpret relative frequencies in the context of the data (including joint, marginal, and conditional relative frequencies). Recognize possible associations and trends in the ...

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    • [DOCX File]Analyses of Cateogical Dependent Variables

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      3.1 Graphical Displays and Frequency Distribution for Categorical/Nominal Variables 3.2 Contingency Tables, 2-D Mosaic Plots and Correspondence Analysis. 3.3 Histograms. Summary Statistics. Measures of Typical Value/Central Tendency. Measures of Variability. Measures of Relative Standing

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    • [DOC File]Statistics & Probability - Instructional Materials (CA ...

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      Quantitative variables are usually reported as sample means—household income, blood pressure, lifetime of an auto part. Because sample means are just averages of observations, they are among the most common statistics. The two histograms below show an example of how sample means behave.

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    • [DOC File]BUT WHAT ABOUT (TRULY) CATEGORICAL (NOMINAL) …

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      Examples Shoe Size, IQ, SAT Score, Points scored in a basketball game. CATEGORICAL (Qualitative) Variables: variable that cannot be measured numerically. Examples: Race, Nationality, Gender, Hair Color. Identify the following variables as categorical, discrete or continuous. Occupation = Categorical . Weight = Continuous. Region of residence ...

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    • [DOC File]AP Stats Ch 4 Notes: More about Relationships between Two ...

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      Categorical Variables - variables that record to what group or category an individual belongs. Hair color and gender are examples of categorical variables. Quantitative variables – variables that have numerical values and with which it makes sense to do arithmetic. Height, weight, and GPA are examples of quantitative variables.

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    • Quantitative Variables (Numeric Variables) in Statistics: Definition, E…

      Counts can be applied to qualitative data, but you cannot order or measure these type of variables. Examples are gender, marital status, geographical region of an organization, job title…. Qualitative data is usually treated as Categorical Data.

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    • [DOC File]CHAPTER 14: DESCRIPTIVE STATISTICS

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      4.2 Relationships between Categorical Variables. Categorical variables are sometimes unavoidable, such as gender, race or occupation. Other categorical variables are created by the type of research being conducted, such as classes of quantitative variables. To analyze categorical data, we use the counts or percents of individuals that fall into ...

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    • [DOC File]AP Stats Chapter 9 Notes: Sampling Distributions

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      Examples: US Census describes the US population at a given point in time - presents information re the population such as gender, race, income… Inferential . statistics are used to make generalizations about the population by investigating a sample from the population. …

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