final Flashcards

1
Q

frequency

A
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2
Q

event

A

Any specific outcome that might occur. Mutually exclusive with other events.

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3
Q

probability

A

-A number, between 0 and 1, assigned to each of the possible outcomes in the sample space.
-Often written as with P or Pr.

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4
Q

marginal prob

A

probability of one event happening independently of others

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5
Q

joint prob

A

-likely hood of two events happening simultaneously
-generally: Pr(A ∩ B) = Pr(A)Pr(B|A)
-independent: Pr(A ∩ B) = Pr(A)Pr(B)

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6
Q

conditional prob

A
  • the chances of one event happening given that another event occured.
  • Pr(A | B) = Pr(A ∩ B)/Pr(B)
  • joint / marginal prob
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7
Q

random variable

A
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8
Q

prob distribution

A
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9
Q

discrete distribution

A

A discrete distribution is one in which the data can only take on certain values, for example integers

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10
Q

continuous distribution

A

A continuous distribution is one in which data can take on any value within a specified range (which may be infinite).

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11
Q

parameter

A

a number describing a whole population (e.g., population mean)

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12
Q

Normal distribution

A

-mean, median and mode are the same.
-symmetric
-Unimodal
-bell shaped

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13
Q

central limit theorem

A

distribution of sample means approximates a normal distribution as the sample size gets larger.

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14
Q

z score

A

measures exactly how many standard deviations above or below the mean a data point is.

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15
Q

critical value

A

defines regions in the sampling distribution of a test statistic.

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16
Q

prob interval

A

refers to the probability that a population parameter will fall between a set of values for a certain proportion of times.

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17
Q

law of large numbers

A

as a sample size grows, its mean gets closer to the average of the whole population.

18
Q

standard error

A

the approximate standard deviation of a statistical sample population

19
Q

standard error of the mean

A

measures how much discrepancy is likely in a sample’s mean compared with the population mean.

20
Q

hypothesis testing

A

a statistical method used to determine if there is enough evidence in a sample data to draw conclusions about a population.

21
Q

sample space

A

A set of all the events that might occur. Often denoted with the Greek letter Ω.

22
Q

stat significance

A
23
Q

t stat

A
24
Q

p value

A
25
Q

confidence interval

A
26
Q

stat independence

A
27
Q

degrees of freedom

A
28
Q

fitted value

A
29
Q

correlation coefficient

A
30
Q

regression coefficient

A
31
Q

population parameter

A
32
Q

sample parameter

A
33
Q

least squares

A
34
Q

residual

A
35
Q

error term

A
36
Q

omitted variable bias

A
37
Q

root mean squared error

A
38
Q

goodness of fit

A
39
Q

coefficient of determination

A
40
Q
A
41
Q

axiom of prob

A

An axiom is an assumption we cannot prove, and must make to get started in a field of mathematics

42
Q
A