Measures of central tendency & dispersion Flashcards
What are descriptive statistics?
- use of summary statistics to identify trends & analyse sets of data
What are measures of central tendency?
- the general term for any measure of the average value in a set of date
- mode, median, mean
What is the mean and how is it calculated?
- arithmetic average calculated by adding up all values then dividing by total number of values
What is a strength and limitation of using the mean?
strengths
- most sensitive of the measures as it includes all the values in data set within the calculation
limitation
- mean is easily distorted by extreme values which may not represent the data set overall
What is the median and how is it calculated?
- the middle value in a data set when scores are arranged from lowest to highest
What are the strengths and limitations of using the median?
strengths
- not affected by extreme scores
- easy to calculate
limitation
- less sensitive (actual values of lower & higher numbers are ignored)
What is the mode?
- the most frequent value in a data set
What are the strengths and limitations of using the mode?
strengths
- sometimes the only method of measure u can use (data in categories)
- easy to calculate
limitations
- not useful if there are many different modes
- not representative of the whole data set
What is meant by measure of dispersion?
- the general term for any measure of the spread or variation in a set of scores
- range, standard deviation
What is the range and how is it calculated?
- calculation of the spread of scores and is worked out by subtracting the lowest value from the highest value and adding 1 (accounts for margin error)
What are the strengths and limitations of using the range?
strength
- easy to calculate
limitations
- only takes into account the most extreme values >unrepresentative of the data set as a whole
- range is influenced by outliers (distorted by extreme values)
- does not indicate whether most numbers are closely grouped around the mean or spread out
What is standard deviation?
- more sophisticated measure of the spread of set of scores
- tells us how far scores deviate from the mean
What are the strengths and limitations of using standard deviation?
strengths
- much more precise measure of dispersion as it includes all the values within final calculation
limitation
- can be distorted by a single extreme value > not representative
What does a low standard deviation suggests?
- reflects the fact that the data is tightly clustered around the mean
- may imply that all participants responded in a fairly similar way
What does a high standard deviation suggest?
- the spread of scores is much greater
- not all participants were affected by the IV in the same way
- may be a few anomalous results