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DISPLAYING DATA. Definitions: types of data. Categorical Data: data that are types not numbers. Example: colours, foods, clothes,etc. Continuous Data: data that can have any numerical data within a specific infinite (non-ending) or finite (ending) range. Example: height of a person, weight
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Definitions: types of data Categorical Data: data that are types not numbers. Example: colours, foods, clothes,etc. Continuous Data: data that can have any numerical data within a specific infinite (non-ending) or finite (ending) range. Example: height of a person, weight Discrete Data: Data that are distinct and can be counted (whole numbers). Example: The number of people who like pizza.
Example 1: Classify each set of data as discrete, continuous or categorical • The temperature in Florida each day in July • continuous • The number of students who achieved an “A” in Mrs. Schaefer’s class. • discrete • The favourite season of students at HHSS • categorical • The number of hours students work in a week • discrete • The time it takes for students to get to school each day • continuous
DISPLAYING DATA Example 1: