explain the ‘mean’ as a measure of central tendency?
-add up all the values and divide by the total amount of numbers of values in set
evaluate the ‘mean’ as a measure of central tendency?
+most sensitive, as it takes into account every value
+most precise
-most likely to be distorted by anomalous scores because it uses all values in data set so may not give representation of the most typical score
explain the ‘medium’ as a measure of central tendency?
evaluate the ‘medium’ as a measure of central tendency?
+not affected by anomalous results, as it looks at middle, unlike mean
-less precise than mean, doesn’t examine all values in data set, only focuses on one
explain the ‘mode’ as a measure of central tendency?
-calculated by identifying most frequently occurring value in data set
evaluate the ‘mode’ as a measure of central tendency?
+most appropriate method to use if we have categorical data
rank the best measures of central tendency to use, and how to remember?
mean (me first)
median
mode (mo last)
explain ‘range’ as a measure of dispersion?
-subtracts the lowest data score from the highest
evaluate the ‘range’ as a measure of dispersion?
+less sensitive measure compared to standard deviation as it considers all values
+easy to calculate
-range only takes into account the most extreme values
explain ‘standard deviation’ as a measure of dispersion?
name the measures of dispersion
- standard deviation
name the descriptive statistics?
evaluate ‘standard deviation’ as a measure of dispersion?
+very precise
+includes all values within final conclusion unlike the range
-but can distorted by an anomalous value like the mean