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Descriptive stats & data
Fichas del conjunto (13)
- 1What is the difference between descriptive & inferential stats?descriptive: used to summarise data we collected
inferential: interpret data in a standardized way - 2What are the 4 types of data?Nominal (catigorical)
ratio & interval (continuous)
ordinal (categorical put into natural orderinh) - 3What are some examples of ration data?mass, length & time as there is a natural zero
- 4What are some characteristics of Interval dataCan be rank ordered
There are equal steps
no absolute zero value - 5What is a histogram used for and how do we do it?Ordinal, interval & ratio data
We determine the smallest and largest scores in the data set and count the number of how many times scores are present. - 6What is groupingwhen looking at a large number of scores, when the range is large we can group the scores into chunks
- 7What are the 3 characteristics of frequency distributionshape
variability
central tendency - 8—Positive - mode is on the left, median & mean fall below the mode
negative - mode & medians higher than the mean & skew is to the right
- 9why is shape important?blindly trusting summary measures can lead to inacuraies
- 10what is the formula to find the median of a large data set?N +1 / 2 = nth position
- 11Evaluate the modecan be used for nominal data & make sense of bimodal data
x: May not be representative of the whole data set - 12Evaluate the medianunaffected by extreme scores as we take the middle value.
Used or ordinal, interval & ratio
x: no simple equation - 13Evaluate the meanthe most staple emaurw
x: influenced by extreme scores
x: it's a value that may not exist in the data set
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- Cambridge Research skills Fichas sobre Descriptive stats & data, creado por Kirsten Murray el 31/12/2022.
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- Kirsten Murray
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