Last Modified: 2011-06-02
- Allow researchers to make precise statements about the data
- Two statistics are needed
- One # is used to describe central tendency or how participants scored overall
- Another # used for variability or how widely distribution of scores is spread
- No numerical, qualitative properties; simply different categories or groups
- Ex: gender, eye color, hand dominance, birth order, marital status
- Minimal quantitative distinctions; can ran order (lowest to highest) But doesn't emphasize the distance between the ranks
- More detailed quantitative properties: interval between levels are equal in size; no absolute zero.
- Ex: 7-point scale "very negative" to "very positive"
- Equal intervals and an absolute zero (absence of variable being measured)
- Ex: Time, weight, length, and other physical measures
-depicted by x-bar or M
-only appropriate on an interval or ratio scale
- Standard deviation (s)
- Variance (s2)
- Range (difference between the highest and lowest score)
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