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Measures of central tendency
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Measures of central tendency
another type of descriptive statistic for presenting interval and ratio scales or data from the sample under study.
- Variables that use interval/ratio scales
- distribution of the data might be of less interest to the researcher than an overall summary of the scores.
- Variables that use interval/ratio scales
form an index or summary numbers that describe the middle of a distribution of sample data.
Mean
- Equal to the sum of all values divided by the number of participants.
- Sensitive to extreme values, also known as outliers
- Not appropriate for data that differs greatly from normal (bell shaped) distribution, as in a skewed distribution.
- If the mean differs meaningfully from the median it suggests that the distribution is skewed (not normal).
- Not appropriate for data that differs greatly from normal (bell shaped) distribution, as in a skewed distribution.
- Sensitive to extreme values, also known as outliers
- Equal to the sum of all values divided by the number of participants.
Mode
- value that occurs most frequently.
- used for categorical variables or data,
- particularly when categories are not naturally ranked (nominal).
Median
- middle value in a ranked list
- point in the distribution above which and below which 50% of the cases fall.
- not sensitive to extreme values or outliers. When
- distribution is highly skewed the median provides a better measure of central tendency
- Middle value
Measures of disperson
- Are a type of descriptive statistic
- Describe the spread of observations/data about the mean
- Are ways of presenting the data spread or dispersion of data in a sample
- Are used because for some sample data measures of central tendency do not give a total picture of the data spread
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- HBS108 (Descriptive Stats) Mind Map on Measures of central tendency, created by shirley.ha on 10/09/2013.
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