Data Analysis Flashcards

1
Q

Relative frequency

A

Frequency / Total

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2
Q

Areas of a bar graph or areas under a distribution spread

A

1

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3
Q

Standard deviation formula

A

(Average(Mean-Value)^2)^1/2

  1. Calculate means of values
  2. Find difference between mean and each value
  3. Square each difference
  4. Find average of squared differences
  5. Non-negative square root of the average of the squared differences
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4
Q

Most values are within how many standard deviations of the mean?

A

3

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5
Q

Intersection of sets S and T

A

S (upside down U) T

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6
Q

Union of sets S and T

A

S U T

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7
Q

If sets S and T are disjoint/mutually exclusive, then what does their intersection equal?

A

0

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8
Q

If sets S and T are disjoint/mutually exclusive, then what can their probabilities not equal?

A

0

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9
Q

Inclusion-exclusion principle

A

|A union B| = |A|+|B|-|A intersection B|

|B union C| = |B|+|C| because |B intersection C| = 0

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10
Q

Multiplication principle

A

First choice possibilities x second choice possibilities

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11
Q

Permutation

A

Order matters
nPk = n! / (n-k)!
n >/= k

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12
Q

N-Factorial

A

Common type of permutation
n! = n(n-1)! = n(n-1)(n-2)! = n(n-1)(n-2)(n-3)!…

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13
Q

Combination

A

Order does not matter
Combination = Permutation / Number of ways to order
nCk = n! / k! (n-k)!
nCk = nCn-k
nC0 = 1
nCn = 1

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14
Q

Probability of an event

A

of outcomes in the event / # total possible outcomes

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15
Q

If P(E) = 1, then

A

E is certain to occur

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16
Q

If 0 < P(E) < 1, then

A

E is possible but not certain to occur

17
Q

P(E not happening)=

A

1 - P(E)

18
Q

If E is an event, then the probability of E equals

A

The sum of the probabilities of the outcomes in E

19
Q

The sum of the probabilities of all possible outcomes of an experiment

A

1

20
Q

The event that both E and F occur

A

E intersection F

21
Q

The event that E or F, or both occur

A

E union F

22
Q

P(E or F)

A

P(E) + P(F) - P(E and F)

P(E and F) = P(E)P(F)

23
Q

P(E or F) if E and F are mutually exclusive

A

P(E) + P(F)

24
Q

P(E and F) if E and F are independent

A

P(E)P(F)

25
Q

If P(E) and P(F) do not equal 0, then

A

E and F cannot be both mutually exclusive and independent

26
Q

P(E and F) if E and F are mutually exclusive

A

0

27
Q

2/3 of data is within how many standard deviations of the mean?

A

1

28
Q

Almost all data is within how many standard deviations of the mean?

A

2

29
Q

Probability distribution is equal to

A

the Relative frequency distribution

30
Q

The slope of a line

A

Average of means

31
Q

Normal distribution mean, median, mode

A

Nearly equal