2.measures of central tendencies Flashcards
Central tendencies
Mode,Mean and range of gather many individual samples to one number.
normal distribution
In graphic forms a bell curve where most common results show Here most data points cluster to middle where rest to opposite extremes.
Central limit theory
Collects lots of data from individual measures- This to gather central tendencies more accurately.-larger sample more representative because shows more population.
-based since assumption no one does exactly same thing, therefore large sample more accurate.(test-retest?)
How to work out mean
sum of all scores divided by number of participants.
Whats the equation(think symbol look like and meaning.)
u=3 x X/n and same population with X
What effects mean
Outliers- far away from cluster.
-Skewed by extremities cause issues when calculating mean.
Whats median
Rank lowest to highest and find middle number
-more resilient to outliers.
50percent above and below.
Whats mode
Most common data value.
What effects mode
Bimodal/multimodal- if more than one mode it shows not normally distributed as has more than one peak.
compared unimodal=normally distributed.
Measures of variable(dispersion)
How far data points lie from each other and from center of distribution
range can be done
as it shows smaller range less variability(dispersion)=normally distributed= predict info on population based on sample data set.
r=x(max)-x(min)
Standard deviation
while variant is average sum of square SD= the square root of the mean of squares of all values
(SD measures how far apart numbers are in data set.)-avarage distance from mean.
(variance measure difference in data points to mean.)- squared avarage distance from mean
SD equation
s=square root of e(x-mxor x with line)2(squared)/n-1=SAMPLE
EQUATION is same.
SD mean=
measure var of data to mean, and set distributions score-LOW SD= close to avarage. HIGH SD- more disprese and p>0.05=null.
HELPS HYPOTHESIS.