Numerical Descriptive Stats Flashcards

1
Q

measure of center

A

value at center or middle of data set

arithmetic mean is a moc obtained by adding/dividing total by # of values

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2
Q

mean advantage/dis

A

advantage= relatively reliable, drawn from same population so don’t vary much, every data value into account

disadvantage= sensitive to every data value so one extreme affect dramatically, not resistant

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3
Q

median

A

middle value when og data values arranged in order of magnitude

IS resistant moc bc not affected by an extreme value

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4
Q

mode

A

value occurs with greatest frequency

can have 1+ or no mode
-bimodal, multimodal

only moc that can be used with nominal data

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5
Q

skewed to left

A

aka negatively skewed

longer left tail

mean and median are to the left of the mode

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6
Q

skewed right

A

aka positively skewed

longer right tail

mean and median to the right of mode

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7
Q

measures of variability

A

range, standard deviation, variance

also called spread or dispersion (how scores differ from one another)

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8
Q

range

A

difference b/t maximum data and minimum value

very sensitive to extreme values so not useful as other mov

measure of variation

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9
Q

standard deviation

A

mov about the mean/average amount of variability,

denoted s or SD

s can inc dramatically w/ inclusion of 1+ outliers

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10
Q

variance

A

mov = square of the SD

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11
Q

percentiles

A

99 percentiles that divide data into 100 groups with 1% of values in each group

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12
Q

quartiles

A

divide ranked values into 4 equal parts w/ 25% in each group

Q1 sep the bottom 25% from top 75%, lower quartile
Q2 same as median so sep bottom 50% from top 50%
Q3 sep bottom 75% from top 25%, upper quartile

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13
Q

motivations

A

measure of relative standing

show location of data values relative to others w/i data set

compare values from different data sets

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14
Q

z score

A

number of SDs that a given value is above/below the mean

mean of z-scores of a population is always 0 and SD of z-scores is always 1

no units

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15
Q

independent

probability

A

if occurrence of one does not affect the probability of the other

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16
Q

multiplication rule

A

used for finding P(A and B) = P(A) * P(B)

A and B are independent

so A occurs in a first trial and B in a second trial

17
Q

continuous random variable

A

infinitely many possible values

can be associated w/ measurements on a continuous scale w/o gaps or interruptions

i.e baby weight, blood pressure, heart beat

18
Q

calculating z score

A

given value - mean
/
SD value