stats unit 6 Flashcards

1
Q

Exploration

A

Informal, open ended examination of data for patterns

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2
Q

Disjoint (Mutually Exclusive)

A

can’t happen at the same time

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3
Q

Sample Space:

A

complete list of disjoint (mutually exclusive) outcomes

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4
Q

Outcome:

A

result of a single trial

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5
Q

Probability Distribution:

A

Gives all possible values resulting from a random process and gives the probability of each.

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6
Q

Law of Large Numbers:

A

In a random sampling, the larger the sampling the closer the Emprical probability come to the classical probability

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7
Q

Fundamental Principle of Counting (Tree Diagram or Two-Way Table):

A

if there are n1 outcomes for stage 1 and n2 outcomes for stage 2 then the possible number of outcomes for the 2 stages is n1n2

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8
Q

Or

A

one or the other or both

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9
Q

False positive

A

when a test result says that the person tested has the disease, but they actually don’t

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10
Q

False negative

A

when a test result says that the person tested does not have the disease, but they actually do

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11
Q

Sensitivity

A

the ability of a test to correctly identify people with a disease

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12
Q

Specificity

A

the ability of a test to correctly identify people without a disease

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13
Q

Independent Events

A

2 things can occur and they don’t affect each other

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14
Q

cases

A

subjects of statistical examination

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15
Q

variable

A

the characteristics of of the cases

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16
Q

summary statistic

A

condensing” data into a single number to help with data analysis

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17
Q

simulation

A

a procedure in which you set up a model of a chance process that copies a real situation.

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18
Q

Standard Deviation

A

The horizontal distance from the line of symmetry to the inflection point

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19
Q

skewed left/right

A

left: mean is pulled towards the left of the median
right: mean is pulled towards the right of the median

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20
Q

median

A

the value that divides data equally

21
Q

quartiles

A

three numbers that divide data into quarters

22
Q

interquartile range

A

distance between Q1 and Q3

23
Q

percentile

A

value that separates the lowest percent

24
Q

recentering

A

adding or subtract x to all values

25
rescaling
multiply each value by x; x>0
26
z-score
how many standard deviations away from mean
27
interpolation
predicting within a model
28
extrapolation
predicting outside model
29
sample
part of a population
30
census
entire population
31
units
individual members in a population
32
population
set of units you study
33
bias
tends to give samples where some characteristics of the population is under or overrepresented
34
correlation
measure of strength of a linear relationship
35
sampling frame
all possible units
36
convenience sampling
units chosen are easy to include
37
size bias
size causes misinterpretation
38
voluntary response bias
sample members self selected
39
simple random sample
all possible samples of a given fixed size are equally likely
40
stratified random sample
divide units into strata, take SRS of strata
41
cluster sample
break population into clusters, take SRS of clusters, obtain data from entire cluster
42
two staged sampling
break population into clusters, take SRS of clusters, take SRS from clusters
43
lurking variable
variable in the background that once identified could explain a pattern
44
experiment
establish cause comparing two or more treatments using a response
45
observation study
no treatment assigned, conditions are built in
46
blind
patients don't know control and treatment group
47
double blind
patients and doctors don't know control and treatment group
48
matched pair
only look at pairs, one with and one without treatment
49
blocking
selecting pairs with similar units to help control for lurking variables