Descriptive Statistics Flashcards

1
Q

simple random sample

A

every person in the population has an equal chance of being selected

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2
Q

stratified random sample

A

population is separated into similar strata and then random samples are drawn from each group

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3
Q

cluster sample

A

“cluster” is selected at random and then a sample is chosen from the cluster

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4
Q

systematic sample

A

selecting subjects in a systematic way

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5
Q

example of a cluster sample

A

randomly choosing 5 schools then choosing random students from each school

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6
Q

example of systematic sample

A

every 3rd baby born, etc

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7
Q

systematic samples may be prone to ___

A

selection bias

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8
Q

probability: definition, range

A

chance that a particular event will occur

ranges from 0-1

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9
Q

addition rule, assumption

A

the probability of Y or X = probability of X + probability of Y
assumes X and Y are mutually exclusive

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10
Q

multiplication rule, assumption

A

the probability of X and Y = probability of X x probability of Y, assumes the two variables do not influence each other

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11
Q

Nominal variables

A

categories

race, gender, color

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12
Q

Ordinal variables

A

placed in meaningful order, but no consistent interval between
grades of cancer, pain scores

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13
Q

Interval variables

A

placed in meaningful order with intervals in between but no absolute zero
degrees C

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14
Q

ratio variables

A

placed in meaningful order with intervals in between and absolute zero

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15
Q

relative frequency distribution shows:

A

percentage

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16
Q

percentile definition

A

gives the percentage of observations that fall below the particular value (gives information about one score in relation to all of the other scores)

17
Q

mean

A

average

18
Q

mean is very sensitive to:

A

extreme scores

19
Q

median

A

divides data into 2 equal parts

20
Q

mode

A

the most frequently occurring value

21
Q

bimodal

A

when 2 scores occur with the same frequency

22
Q

variance equation

A

S2 = E(xi-x)2 / n-1

23
Q

standard deviation

A

square root of variance (s)

24
Q

coefficient of variation

A

standard deviation/mean

25
Q

mean, SD and AUC in normal distribution

A
mean= 0
SD = 1
AUC = 1
26
Q

skewed frequencies are named for their-

A

tail

27
Q

Z score indicates:

A

how many SD away from the mean an element is (in normal distribution)

28
Q

Z =

A

X - mean / standard deviation

29
Q

Z score is used to estimate:

A

the probability of an element being above or below a particular score

30
Q

% in 1 SD, 2 SDs, 3 SDs

A

1- 68%
2- 95%
3- 99.7%