![]() the number of possible values is 0, 1, 2, 3. Result when the number of possible values is either a finite number or a ‘countable’ number. Quantitative data can further be described by distinguishing between discrete and continuous types. ![]() Example: Shirt numbers on professional athletes uniforms - substitutes for names. Example: The genders (male/female) of professional athletes. Example: The ages of respondents.ĩ Categorical Data Categorical (or qualitative or attribute) dataĬonsists of names or labels (representing categories). StatisticĨ Quantitative Data Quantitative (or numerical) dataĬonsists of numbers representing counts or measurements. Parameterħ Example 4: Determine whether the given value is a statistic or a parameter: The author measured the voltage supplied to his home on 40 different days, and the average (mean) value is volts. ParameterĦ Example 3: Determine whether the given value is a statistic or a parameter: If the areas of the 50 states are added and the sum is divided by 50, the result is 196,533 square kilometers. Statisticĥ Example 2: Determine whether the given value is a statistic or a parameter: A study of all 2,223 passengers aboard the Titanic found that 706 survived when it sank. ![]() sample statisticĤ Example 1: Determine whether the given value is a statistic or a parameter: In a large sample of households, the median annual income per household for high school graduates is $19,856 (based on data from the U.S. population parameterĪ numerical measurement describing some characteristic of a sample. 2 Parameter population parameter ParameterĪ numerical measurement describing some characteristic of a population.
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