IMPORTANT TERMS IN STATISTICS

The collection of data, its classification, tabulation and study is called Statistics. Most statistics can be used either as a descriptive statistic, or in an inductive analysis.

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Terms In Statistics:

• Quantitative Data: Quantitative data are data values that are numeric. For example, the heights of female basketball players are quantitative data values.

• Qualitative Data: Qualitative data are data values that can be placed into distinct categories, according to some characteristic or attribute. For example, the eye color of female basketball players is classified as qualitative data.

• Discrete Variables: Discrete variables are variables that assume values that can be counted-for example, the number of days it rained in your neighborhood for
  the month of March.

• Continuous Variables: Continuous variables are variables that can
  assume all values between any two given values-for example, the time it takes for you to
  do your Christmas shopping.

• Population: A population consists of all elements that are being studied. For example, we may be interested in studying the distribution of ACT math scores of freshmen at a college campus. In this case, the population will be the ACT math scores of all the freshmen on that particular campus.