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### 10 Cards in this Set

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 Qualitative variables Non-numeric i.e. A classification of students your university by the province of birth, gender, etc. Quantitative variables Reported numerically i.e. The balance in your checking account, the number of customers served in the local A&W restaurant. Discrete variables Type of Quantitative variable Can only assume certain values and there are usually "gaps" between values. [natural #'s (whole number)] i.e. The number of bedroom in a house, or the number of hammers sold at the local Home Depot. Continuous variables Type of Quantitative Variable Can assume any value within a specified range. i.e. The pressure in a tire, the weight of a pork chop, or the height of students in a class. [can occupy any value] [money is continuous (cannot be counted)] Mutually exclusive An individual, object, or measurement must appear in one of the categories. Collectively exclusive Each individual, object, or measurement must appear in one of the categories. Nominal level A level of measurement in which date are sorted into classes with no particular order to the classes. Ordinal level Involves data arranged in some order, but the differences between data values cannot be determined or are meaningless. i.e. During a taste test of 4 soft drinks. Mellow Yellow was ranked number 1, Sprite number 2, Seven-up number 3, and Orange Crush number 4. (order with no significance) Interval level Includes the ranking characteristics of the ordinal level and, in addition, the difference between the values is a constant size. i.e. Temperature on the Fahrenheit scale. (shoe size, IQ scores) Ratio level The interval level with an inherent zero starting point. Differences and ratios are meaningful for this level of measurement. i.e. Monthly income of surgeons, or distance traveled by sales representatives per month. Usually presented in a pie chart.