MET 04 - Central tendency and dispersion Flashcards
What is the mean?
The arithmetic average calculated by adding up all the values in a set of data and dividing by the number of values
What is the median?
The central value in a set of data when values are arranged from lowest to highest
What is the mode?
The most frequently occurring value in a set of data
What are descriptive characteristics?
The use of graphs, tables and summary statistics to identify trends and analyse sets of data
What is standard deviation?
- A sophisticated measure of dispersion in a set of scores
- It tells us by how much, on average, each score deviates from the mean
What is are measures of central tendency?
- The general term for any measure of the average value in a set of data
- Examples of measures of central tendency include the mean, median and mode
What are the strengths of using the mean?
It is sensitive to all data as it includes all scores/values in the data set within the calculation meaning it is more representative of the data as a whole
What are the limitations of using the mean?
- It is easily distorted by extreme values
- If skewed by outliers it is a misleading indicator
What are the strengths of using the median?
- It is immune to effect of outliers/extreme values and easy to calculate
What are the limitations of using the median?
It is less sensitive and does not use all data
What are the strengths of using the mode?
Only way to give a ‘typical’ category with qualitative data
What are the limitations of using the mode?
- It may not show centre of quantitative data
- It is a very crude measure
What are the strengths of using the range?
- It is quick and easy to calculate
- Allows researchers to draw conclusions about their research at a faster pace
- It means that researchers can spend more time interpreting and drawing inferences from the data as opposed to calculating and analysing
What are the limitations of using the range?
- The range is vulnerable to extreme scores
- This gives a misleading impression of the real dispersion of scores
- So, the range is not always a representative description of the spread of a set of data
What are the strengths of using standard deviation?
It is a much more precise measure of dispersion than the range as it includes all values within the final calculation
What are the limitations of using standard deviation?
- It can be distorted by a single extreme value
- Extreme values may not be revealed, unlike with the range