Research Methods : Presentation of Quantitative Data Flashcards
when tables appear in results section of a report key to note
not merely raw scores
converted to descropitive statistics
data can be represented visually uisng a suitable groahical display soo
diffrence in mean value easily seen
bar charts used when
data divided into categories aka discrete data / two conditions
why are bars sepreated on a bar chart
show dealing with seerate conditions
why do bars touch each other in histograms
shows x axis data continuos
x axis in histogram represnts
y axis in histogram represents
y - frequency
x - percentage scores in maths test
scattergram
show associations between co variables
how is the x /y axis on scattergrams
either of co variables doesnt matter which way
each point on scattergram reps
x and y position of co variables
measuring certain variables forms waht type of cuerve
bell shaoed
normal distrobution
symmetrical spreadof frequency data that forms a bell shaped pattern
describe how people allocated in normal distribution
located in middle with very few people at extreme ends
where are mean median mode in normal distribution
same midpoint of curve
in normal distribution what do tails of the curve do and why
extend outwards never touch the horizontal x axis
as most extreme scores theoritically possible
skewed distribution
spread frequency data unsymetrical where data clusters to one end