final exam reivew Flashcards

multiple choice review (76 cards)

1
Q

probability

A

likelihood of something occurring

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2
Q

outcome

A

possible result

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3
Q

experimental trial

A

one iteration/attempt at an experiment

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4
Q

experimental/empirical probability

A

based on experimental trial

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5
Q

empirical probability formula

A

P(A) = n(A)/n(T)

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6
Q

sum of probabilities

A

must equal 1

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7
Q

subjective probability

A

ones own opinion

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8
Q

theoretical probability

A

analyzing probable outcomes

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9
Q

theoretical probability formula

A

P(A) = n(A)/n(S)

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10
Q

sample space

A

the set of all possible outcomes

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11
Q

compliment

A

set of outcomes not included in event (A’)

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12
Q

odds in favour

A

P(A) : P(A’)

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13
Q

odds against

A

P(A’) : P(A)

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14
Q

comparing probability and odds

A

P(A) = h/h+k

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15
Q

mutually exclusive

A

events that can not happen at the same time

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16
Q

non-mutually exclusive

A

events that can happen at the same time

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17
Q

independent events

A

outcome of first event has no influence on second

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18
Q

dependent event

A

second event is influenced by first

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19
Q

box method

A

using boxes to represent choices

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20
Q

arrangement

A

ordered list of items

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21
Q

factorial

A

multiplying sequential natural numbers going down

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22
Q

permutations

A

arrangement of n distinct terms in definite order

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23
Q

permutation notation

A

nPr

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24
Q

combinations

A

selection from a group with no regard to order

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25
combination notation
nCr or n!/ (n-r)!n!
26
sum of nth row
2^n
27
tn,r
t n-1, r-1 +t n-1, r
28
unique items in subsets
count cases or 2^n-1
29
identical items in subsets
(p+1)(q+1)(r+1)...-1
30
probability distribution
representation of all possible outcomes of experiment or sample space
31
expected value
predicted average
32
uniform distribution
all outcomes are equally likely
33
binomial distribution
success or failure, independent, replacement
34
hypergeometric distribution
uses combinations, p of success changes after every trial, no replacement, dependent
35
discrete data
certain countable values like 1, 2, 3...
36
continuous data
values within any range, unlimited # of values, like time/money
37
categorical/qualitative data
distinct groups, can be represented as groups or percent
38
nominal data
no order necessary like colours
39
ordinal data
makes sense to be ordered/ranked
40
binary data
yes or no answers
41
sample
smaller set out of a population, hard to rep. whole pop., more bias
42
population
all data is important, takes time and money, gets outdated
43
primary source
collected directly by researcher, not yet manipulated or organized
44
microdata
individual sets of data about one respondant
45
secondary source
data used by someone other than the researcher
46
aggregate data
data combined/organized so microdata can not be identified
47
bias
any factor than influences/favours a certain outcome/response
48
sampling bias
sample chosen is not a good representation of population
49
non-response bias
certain groups choose not to participate
50
measurement bias
collection method skews results
51
response bias
participants change answer due to fear, embarrassment or what they think the questions wants
52
simple random sample
randomly choose specific number of people
53
systematic sample
put population in an ordered list and choose people at regular intervals, easy if you have a list in order
54
stratified sample
divide sample into groups with the same proportions as those groups in the population, works well if there are different groups
55
cluster sample
divide population into groups, randomly choose a number of the groups, sample each member of the chosen groups, not all groups may rep. the population
56
multistage sample
divide the population into a hierarchy and choose a random sample at each level
57
convenience sample
choose people who are easy to access, can be unreliable, cheap
58
voluntary sample
allow participants to choose whether to participate or not, could produce heavily biased results based on question
59
mean
the average, add up all terms and divide by # of terms
60
median
the middle number
61
mode
most repeated number
62
range
largest - smallest
63
measures of central tendencies
values around where a set of data tends to cluster
64
outliers
values significantly out of range, affect the mean the most
65
normal distribution graph
bell shape curve, mean median and mode are equal
66
bimodal distribution graph
2 curves, mode is peak, median and mean and lowest point
66
left skewed/negative graph
peak on right side, mean is lowest value
67
right skewed/positive graph
peak is on left side, mean is highest value
68
uniform distribution graph
straight line, all value are equal likelihood
69
exponential distribution graph
exponentially decreases
70
continuity correction
used with discrete data, used to make up for difference between discrete and continuous data
71
cause and effect relationship
change in one variable (independent) directly causes change in other variable (dependent)
72
common cause relationship
external variable causes 2 variables to change the same way
73
accidental relationship
based on purely coincidence
74
reverse cause and effect
relationship where independent variable and dependent variable are reversed
75
presumed relationships
relationship that makes sense but does not show a clear connection