ec-11 - characteristic Also known as qualitative data a Two...

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E370  (1/21/09) Lab Manual Chapter 2 I. Numerical Data – are numerical observations (real, meaningful numbers) that count or  measure a characteristic. Also known as quantitative or interval data. a. Two Types i. Discrete – data that is a count of something; Examples: 1. Number of correct answers on a test 2. Number of students in a class 3. Number of times it takes to pass a class ii. Continuous – data that is a measurement of something; Examples: 1. Height of students in the class 2. Time it takes a light to burn out b. Appropriate Graphical Types i. Histogram ii. Frequency Polygon iii. Ogive II. Categorical Data – qualitative observations indicating the presence or absence of a 
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Unformatted text preview: characteristic. Also known as qualitative data. a. Two Types i. Nominal – numbers that serve as labels describing categories 1. Represented by arbitrarily assigning a number to each category a. Yes = 1, No = 0 b. Green =1, Red = 2, Blue = 3 ii. Ordinal – numbers that are ordered qualitative observations, where order provides additional rank information of a qualitative nature 1. Rating System a. Strongly Disagree = 1 b. Somewhat Disagree = 2 c. Undecided = 3 d. Somewhat Agree = 4 e. Strongly Agree = 5 b. Appropriate Graphical Types i. Bar of Column Chart ii. Pie Chart iii. Pareto Diagram...
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