1/13
Looks like no tags are added yet.
Name | Mastery | Learn | Test | Matching | Spaced |
---|
No study sessions yet.
most sensitive of the measures of central tendency (it includes all the scores/values in a data set)
more representative of the data as a whole
extreme scores don't affect it
easy to calculate
not representative of the whole data set
not useful if there are multiple modes
take the lowest value from a data set, take it away from the highest value and add one
e.g. (17-5) + 1 = 13
we add one as a mathematical correct that allows for the fact that raw scores are often rounded
unrepresentative of the data set as a whole (only uses two most extreme values)
doesn't indicate whether most numbers are closely grouped around the mean or spread out
single value that tell us how far scores deviate (move away) from the mean
the larger the standard deviation, the greater the spread within a set of data
if we're talking about a particular condition within an experiment, a large standard deviation suggests that not all participants were affected by the IV in the same way
low standard deviation values reflect the fact that the data is tightly clustered around the mean (they all reacted the same way)
can be distorted by a single extreme value
also extreme values may not be revealed unlike with the range