CHS Statistics. 1.2: The Nature of Data. Objective: To understand the different types of data. Data. Data ( plural ) – observations (such as measurements, genders, and survey responses) that have been collected Datum ( singular )
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Discrete Data– result when a number of possible values is either a finite number or a “countable” number (dealing with counts)
Example: the number of students with blonde hair
Continuous Data – result from infinitely many possible values that correspond to some continuous scale that covers a range of values without gaps, interruptions, or jumps (often times has units of measure attached)
Example: the amount of rainfall in Zelienople this past month
Nominal – characterized by data that consist of names, labels, or categories only
The data cannot be arranged in an ordering scheme (such as high to low)
Example: survey responses of yes, no, and undecided
Ordinal – can be arranged in some order, but the differences between the data values either cannot be determined or are meaningless
Example: grade letters (A, B, C, D, F); movie ratings (1, 2, 3, 4, 5) – while you can find the difference between the ratings, it is meaningless. The difference of 1 or 2 is meaningless, because it cannot be compared to other similar differences.