2.measures of central tendencies Flashcards

1
Q

Central tendencies

A

Mode,Mean and range of gather many individual samples to one number.

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2
Q

normal distribution

A

In graphic forms a bell curve where most common results show Here most data points cluster to middle where rest to opposite extremes.

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3
Q

Central limit theory

A

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?)

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4
Q

How to work out mean

A

sum of all scores divided by number of participants.

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5
Q

Whats the equation(think symbol look like and meaning.)

A

u=3 x X/n and same population with X

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6
Q

What effects mean

A

Outliers- far away from cluster.
-Skewed by extremities cause issues when calculating mean.

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7
Q

Whats median

A

Rank lowest to highest and find middle number
-more resilient to outliers.
50percent above and below.

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8
Q

Whats mode

A

Most common data value.

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9
Q

What effects mode

A

Bimodal/multimodal- if more than one mode it shows not normally distributed as has more than one peak.
compared unimodal=normally distributed.

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10
Q

Measures of variable(dispersion)

A

How far data points lie from each other and from center of distribution

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11
Q

range can be done

A

as it shows smaller range less variability(dispersion)=normally distributed= predict info on population based on sample data set.
r=x(max)-x(min)

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12
Q

Standard deviation

A

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

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13
Q

SD equation

A

s=square root of e(x-mxor x with line)2(squared)/n-1=SAMPLE
EQUATION is same.

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14
Q

SD mean=

A

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.

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