Class 5 Spring 🌷 Flashcards

1
Q

What is the definition of probability?

A

A branch of pure mathematics about numerical description of the likelihood of an event

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2
Q

What is the definition of statistics?

A

The collection, organization, displaying, analysis, interpretation, and presentation of data

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3
Q

What does probability help quantify?

A

Uncertainty

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4
Q

What is the difference between probability and statistics?

A

Probability is about chance; statistics is about data

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5
Q

What is a simple (marginal) probability?

A

The probability of an event indicating how likely it is to occur

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6
Q

What is the range of probability values?

A

0.0 to 1.0 (inclusively)

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7
Q

What does a probability of 0.0 indicate?

A

Impossibility

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8
Q

What does a probability of 1.0 indicate?

A

Certainty

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9
Q

Define an event in probability.

A

A single or a set of outcomes from an experiment or process

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10
Q

What is the probability of getting any 1 number with a fair die?

A

1/6

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11
Q

What does the Law of Large Numbers (LLN) state?

A

As more observations are collected, the proportion of occurrences converges to the mathematical probability

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12
Q

What is the common misunderstanding of the Law of Large Numbers?

A

That random processes compensate for past events (gambler’s fallacy)

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13
Q

What are disjoint (mutually exclusive) outcomes?

A

Outcomes that cannot happen at the same time

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14
Q

Give an example of a disjoint outcome.

A

A single coin toss cannot be both heads and tails

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15
Q

What are non-disjoint outcomes?

A

Outcomes that can happen at the same time

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16
Q

What is the addition rule for disjoint outcomes?

A

P(A or B) = P(A) + P(B)

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17
Q

What is the general addition rule for non-disjoint outcomes?

A

P(A or B) = P(A) + P(B) - P(A and B)

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18
Q

Fill in the blank: The probability of an outcome is the proportion of times the outcome would occur if we observed the random process an _______ number of times.

A

infinite

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19
Q

True or False: The probability of rolling a 1 or a 2 on a fair die is 1/3.

A

True

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20
Q

What is the probability of selecting a diamond from a standard deck of cards?

A

13/52 = 0.250

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21
Q

What is the probability of selecting a face card from a standard deck of cards?

A

12/52 = 0.231

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22
Q

What is the probability of selecting a card that is both a diamond and a face card?

A

Calculated using the general addition rule, accounting for double counting

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23
Q

What is a common application of probability in statistics?

A

Planning a sampling strategy to draw research samples from a larger population

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24
Q

What is the probability of getting heads on the 11th toss after getting heads on the first 10 tosses?

A

0.5

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25
Q

What is the effect of random sampling errors in statistics?

A

Separates the effect of random errors from the targeted effect of the treatment

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26
Q

What does the notation for set theory specify?

A

Compound events

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27
Q

What is the probability of it being a Monday?

A

P(Monday) = 52 / 365

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28
Q

What is the probability of it being September?

A

P(September) = 30 / 365

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29
Q

What is the probability of it being a Monday and in September?

A

P(Monday and September) = 4 / 365

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30
Q

What is the probability of it being a Monday or September?

A

P(Monday or Sept) = 78 / 365 = 0.214 or 21.4%

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31
Q

True or False: The sum of probabilities of two complementary events always adds up to 1.

A

True

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32
Q

Define complementary events.

A

Two mutually exclusive events whose probabilities add up to 1.

33
Q

What is a sample space?

A

The collection of all possible outcomes of a trial.

34
Q

What are some examples of sample space?

A
  • Winning or not winning a lottery ticket
  • Rolling a die {1, 2, 3, 4, 5, 6}
  • Being taller or shorter than someone {T, S}
  • Follower count growth scenarios {G, S, RS}
35
Q

Do the sum of probabilities of two disjoint events always add up to 1?

A

Not necessarily, there may be more than 2 events in the sample space.

36
Q

What is the definition of independent events?

A

Two processes are independent if knowing the outcome of one provides no useful information about the outcome of the other.

37
Q

Provide an example of independent events.

A

Flipping a coin and rolling a die.

38
Q

What is joint probability?

A

The probability of two events occurring simultaneously.

39
Q

What is conditional probability?

A

The probability of one event occurring in the presence of a second event.

40
Q

What does marginal probability refer to?

A

The probability of an event irrespective of the outcome of another variable.

41
Q

How can we find the joint probability of two dependent events?

A

Using conditional probability.

42
Q

What is the formula for calculating conditional probability?

A

P(A|B) = P(A and B) / P(B)

43
Q

What does the notation P(A|B) represent?

A

The probability of event A occurring given that event B has already occurred.

44
Q

Calculate the conditional probability of rolling a die and getting a value less than 4, given that we know the value is an odd number.

A

P(value<4 | odd number) = 2/3 or ~0.667

45
Q

If two events are independent, what is the relationship between their probabilities?

A

P(A and B) = P(A) * P(B)

46
Q

If the conditional probability of two events is equal to the first event, what does this indicate?

A

The events are independent.

47
Q

What is the basic multiplication rule for independent events?

A

P(A and B) = P(A) * P(B)

48
Q

What is the basic multiplication rule for dependent events?

A

P(A and B) = P(A|B) * P(B)

49
Q

What is the probability that a patient relapsed in the given study?

A

P(relapsed) = 48 / 72 ~ 0.67

50
Q

What is the probability that a patient received the antidepressant and relapsed?

A

P(relapsed and desipramine) = 10 / 72 ~ 0.14

51
Q

Calculate P(relapse | desipramine).

A

P(relapse | desipramine) = 10 / 24 ~ 0.42

52
Q

What is the probability of receiving the antidepressant given that a patient relapsed?

A

P(desipramine | relapse) = 10 / 48 ~ 0.21

53
Q

What does it mean if the conditional probability of two events equals the first event?

A

They are independent events

The inverse is also true.

54
Q

If two events are independent, what should knowing the outcome of one provide about the other?

A

No information

55
Q

What is the formula for the probability that the first die, X, is 1?

A

P(X = 1) = Favorable / All outcomes = 1/6

56
Q

What is the probability that the second die, Y, is 1 or 2?

A

P(Y = 1 or 2) = Favorable / All outcomes = 2/6

57
Q

What is the formula for conditional probability?

A

P(Y=1 or 2 | X=1) = P(Y=1 or 2 and X=1) / P(X=1)

58
Q

How does knowledge about event X affect the probability of event Y if they are independent?

A

It does not change it

59
Q

What happens to P(A and B) in the case of disjoint events?

A

It goes to 0

60
Q

What does P(A|B) simplify to in the case of independent events?

61
Q

What is the probability that a randomly selected student is a social science major given that they are female?

A

P(SS | F) = 0.6

62
Q

What is the definition of probability?

A

The proportion of times an outcome would occur if observed infinitely

63
Q

What values can probability take?

A

Between 0.0 and 1.0 inclusively

64
Q

What percentage range can probability also be displayed as?

A

Between 0% and 100%

65
Q

What are marginal probabilities?

A

The probability of a single variable occurring

66
Q

What are joint probabilities?

A

Involve outcomes for two or more variables

67
Q

What is the addition rule for joint outcomes?

A

P(A or B) = P(A) + P(B) - P(A and B)

68
Q

What are the conditions for using the simple multiplication rule for joint probability with independent variables?

A

Events must happen at the same time and be independent

69
Q

What is the general multiplication rule for dependent variables?

A

P(A and B) = P(A|B) * P(B)

70
Q

What is the effect of random errors on variation in populations?

A

Effect of observable factors + Effect of unavoidable random errors

71
Q

True or False: Statistics is about data and the β€˜messy real’ world.

72
Q

Fill in the blank: Probability is about _______ and the β€˜pure mathematics’ world.

73
Q

What does P(SS | M) equal in the context of gender and major dependence?

74
Q

What is the implication if P(SS | F) = P(SS)?

A

Major does not depend on gender

75
Q

What percentage of all respondents said widespread gun ownership protects citizens?

76
Q

What was the percentage of White respondents who said gun ownership protects citizens?

77
Q

What was the percentage of Black respondents who said gun ownership protects citizens?

78
Q

What was the percentage of Hispanic respondents who said gun ownership protects citizens?

79
Q

What type of relationship is indicated if opinion on gun ownership and race ethnicity are not independent?