measures of central tendency and dispersion Flashcards

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1
Q

measures of central tendency

A

descriptive stats include measures of central tendency

these measures are average which give us info about the most typical values in a set of data

mean , median and mode

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2
Q

mean

A

average

calculated by : adding up all the scores or value in a data set anf dividing it by the total number of scores there are

the mean is the most sensitive of the measures of central tendency as it includes all f the scores/vlaurs in the data set within the calculation means it is more representative of the data as a whole

it is easily distorted by extreme values

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3
Q

median

A

middle value in a data set when scores are arranged form lowest to highest

extreme scores don’t effect it

less sensitive than the mean as the actual values of lower and higher number are ignored and extreme values may be important

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4
Q

mode

A

most frequently occurring score/value within a data set

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5
Q

measures of dispersion

A

based on the spread of scores

how far scores vary and differ from one another

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6
Q

range

A

taking the lowest value form the highest value and usually adding 1

easy to calculate

only takes into account the two most ecxtreme values and this may be unrepresentiave of the data set as a whole

range is influence by outliers

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7
Q

standard deviation

A

single value that tells us how far scores deviate from the mean

larger the deviation the greater the dispersion or spread within a set of data

if we are talking about a particular condition within an experiment a large standard deviations biggest that nit all participants were affected by the IV in the same way because the data is quite widely spread

may be that there are a few abomoalus results

a low standard deviation value reflect the fact that the data is tightly clustered around the mean which might imply that all participants responded in a fairly similar way

much more precise measure of dispersion than range is as it include all values within the final calculation

can be distorted by an extreme values

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