Strengths of mean - It is necessary for further statistical analysis (e.g. standard deviation). It can always be found when using ordinal or above, level of data , Weaknesses of mean - It is influenced by anomalous results. It may produce a 'non-sense' value not in the original data set, Strengths of median - It is not influenced by anomalous results. It can always be found when using ordinal or above, level of data, Weaknesses of median - It is not useful in further statistical analysis. It may produce a 'non-sense' value that was not in the original data set, Strengths of mode - It can be used for data measured on a nominal scale and is not a 'non-sense' value. The value has definitely occurred in the data set, Weakness of mode - There may be more than one result, or no result if the data set is varied. It may not display what is occurring in the centre of the data set if there is a skewed distribution, Strengths of range - It is easy to calculate (unlike standard deviation). It gives an indication about the consistency/reliability of the data, Weaknesses of range - It is influenced by anomalous results; this is a problem because only the highest and lowest scores are considered in the calculation (limits validity), Strengths of standard deviation - A more sophisticated measure of dispersion (reflects every score in the data set- unlike range). Gives you an indication of how close the majority of the scores are to the mean in a normal distribution, Weaknesses of standard deviation - Time consuming to calculate compared to the mean or range. Not all scores will be within one standard deviation, so it can be misleading when it comes to anomalies,

Evaluating Descriptive Statistics- WJEC Psychology

by
Print
Embed

Leaderboard

Visual style

Options

Switch template

Continue editing: ?