Independence: the probability of...

one event occurring is not affected by the probability of any other event

Mutual exclusivity: when two events cannot occur simultaneously. Which of the following is mutually exclusive?

A person cannot have type A and O blood at the same time

Which corresponds with P(A) - probability of event A (e.g., probability of rolling a 6)

P(A) - number of A outcomes / number of all possible outcomes

793 passengers of color had reg screening, 84 had additional. 1654 white passengers had reg screening, 42 had additional

Probability of person w additional screening was POC: 84/126= .666 (ab 66%)

The addition rule for no mutual exclusivity is...

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

793 passengers of color had reg screening, 84 had additional. 1654 white passengers had reg screening, 42 had additional

Probability white passenger additional screening: 42/1696=.025 (about 2.5%)

793 passengers of color had reg screening, 84 had additional. 1654 white passengers had reg screening, 42 had additional

Probability POC recieve additional screening: 84/877 = .096 (almost 10%)

Conditional Probability - the probability of an event that is dependent on...

the occurrence of another event

Inferential statistics - not just describing a set of data, but...

making predictions or conclusion about sample data relative to a population

793 passengers of color had reg screening, 84 had additional. 1654 white passengers had reg screening, 42 had additional

Probability of a passenger being white is 1696 / 2573 = .659 (about 66%)

What is the multiplication rule for dependent events?

p(A and B)= p(A) x p(B|A)p(B|A) is the probability of B given that A exists

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Probability: Behavioral Stats Exam 2

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Questions 19

Answers

1
Independence: the probability of...
one event occurring is not affected by the probability of any other event
one event occurring is affected by the capacity of all other events
one event occurring is not affected by the capacity of any other event
one event occurring is affected by the probability of all other events
2
What is the multiplication rule for independent events?
p(A and B) = p(A) x p(B)
p(A and B)= p(A) x p(B|A)p(B|A) is the probability of B given that A exists
3
Mutual exclusivity: when two events cannot occur simultaneously. Which of the following is mutually exclusive?
A person can have type A and negative blood at the same time
A person can have red hair and green eyes at the same time
A person can have curly hair and black hair at the same time
A person cannot have type A and O blood at the same time
4
Which corresponds with P(A) - probability of event A (e.g., probability of rolling a 6)
P(A) - number of possible A outcomes / number of all possible outcomes
P(A) - number of A outcomes / number of all possible outcomes
P(A) - number of A possible outcomes / number of all outcomes
P(A) - number of all possible outcomes / number of A outcomes
5
Sample Space - all possible outcomes
False
True
6
What is the probability that I will roll one normal die and get a 7?
1.00 or 1% chance
1.00 or 100% chance
0.00 or 0% chance
7.00 or 7% chance
7
Classical Probability Theory - deriving probability estimates using mathematics. Mathematical probability can range from
0.00 to 100.00
0.00 to 1.00
0.00 to 10.00
1.00 to 10.00
8
793 passengers of color had reg screening, 84 had additional. 1654 white passengers had reg screening, 42 had additional
Probability of person w additional screening was POC: 84/877= .096 (10%)
Probability of person w additional screening was POC: 42/1696=.025(ab 2.5%)
Probability of person w additional screening was POC: 126/84= 1.5 (1.5%)
Probability of person w additional screening was POC: 84/126= .666 (ab 66%)
9
The addition rule for no mutual exclusivity is...
p(A or B) = p(A) + p(B)
p(A or B) = p(A) + p(B) - p(A and B)
10
What is the probability that I will select one card from a deck and it will be either red or black?
1.00 or 100% chance
5.00 or 50% chance
0.00 or 0% chance
100.00 or 100% chance
11
793 passengers of color had reg screening, 84 had additional. 1654 white passengers had reg screening, 42 had additional
Probability white passenger additional screening: 1696/2573 = .659 (ab 66%)
Probability white passenger additional screening: 84/877= .096 (almost 10%)
Probability white passenger additional screening: 42/1696=.025 (about 2.5%)
Probability white passenger additional screening: 84/126 = .666 (about 66%)
12
The addition rule for mutual exclusivity is...
p(A or B) = p(A) + p(B) - p(A and B)
p(A or B) = p(A) + p(B)
13
793 passengers of color had reg screening, 84 had additional. 1654 white passengers had reg screening, 42 had additional
Probability POC recieve additional screening: 84/126 = .666 (about 66%)
Probability POC recieve additional screening: 1696 / 2573 = .659 (ab 66%)
Probability POC recieve additional screening: 84/877 = .096 (almost 10%)
Probability POC recieve additional screening: 42/1696 =.025 (about 2.5%)
14
Conditional Probability - the probability of an event that is dependent on...
the occurrence of another event
the disappearance of the event
the disappearance of another event
the occurrence of the event
15
Inferential statistics - not just describing a set of data, but...
making predictions or conclusion about sample data relative to a population
finding correlations between sample data relative to a population
finding differences between sample data relative to a population
comparing correlations of sample data and data of a population
16
Subjective probability: ___, can often lead to poor estimates of probability (and the negative consequences that follow)
estimate of likelihood of an event based on opinion
estimate of likelihood of an event based on personal experience
all of the answers are correct
estimate of likelihood of an event based on estimation
17
In inferential stats, we use probability values (p-values). What is the threshold p-value?
Key threshold p-value is .5
Key threshold p-value is 0.5
Key threshold p-value is .005
Key threshold p-value is .05
18
793 passengers of color had reg screening, 84 had additional. 1654 white passengers had reg screening, 42 had additional
Probability of a passenger being white is 42 / 1696 = 0.02 (about 2%)
Probability of a passenger being white is 2573 / 1696 = 1.51 (about 1.5%)
Probability of a passenger being white is 793 / 1696 = .467 (about 47%)
Probability of a passenger being white is 1696 / 2573 = .659 (about 66%)
19
What is the multiplication rule for dependent events?
p(A and B)= p(A) x p(B|A)p(B|A) is the probability of B given that A exists
p(A and B) = p(A) x p(B)

Probability: Behavioral Stats Exam 2 Flashcards | StudBud

Probability: Behavioral Stats Exam 2

19 termsStudBud Administration2 plays

Imported from external platform

Flashcards19 cardsFPractice quizPHost liveL

Questions 19

Answers

1
Independence: the probability of...
one event occurring is not affected by the probability of any other event
one event occurring is affected by the capacity of all other events
one event occurring is not affected by the capacity of any other event
one event occurring is affected by the probability of all other events
2
What is the multiplication rule for independent events?
p(A and B) = p(A) x p(B)
p(A and B)= p(A) x p(B|A)p(B|A) is the probability of B given that A exists
3
Mutual exclusivity: when two events cannot occur simultaneously. Which of the following is mutually exclusive?
A person can have type A and negative blood at the same time
A person can have red hair and green eyes at the same time
A person can have curly hair and black hair at the same time
A person cannot have type A and O blood at the same time
4
Which corresponds with P(A) - probability of event A (e.g., probability of rolling a 6)
P(A) - number of possible A outcomes / number of all possible outcomes
P(A) - number of A outcomes / number of all possible outcomes
P(A) - number of A possible outcomes / number of all outcomes
P(A) - number of all possible outcomes / number of A outcomes
5
Sample Space - all possible outcomes
False
True
6
What is the probability that I will roll one normal die and get a 7?
1.00 or 1% chance
1.00 or 100% chance
0.00 or 0% chance
7.00 or 7% chance
7
Classical Probability Theory - deriving probability estimates using mathematics. Mathematical probability can range from
0.00 to 100.00
0.00 to 1.00
0.00 to 10.00
1.00 to 10.00
8
793 passengers of color had reg screening, 84 had additional. 1654 white passengers had reg screening, 42 had additional
Probability of person w additional screening was POC: 84/877= .096 (10%)
Probability of person w additional screening was POC: 42/1696=.025(ab 2.5%)
Probability of person w additional screening was POC: 126/84= 1.5 (1.5%)
Probability of person w additional screening was POC: 84/126= .666 (ab 66%)
9
The addition rule for no mutual exclusivity is...
p(A or B) = p(A) + p(B)
p(A or B) = p(A) + p(B) - p(A and B)
10
What is the probability that I will select one card from a deck and it will be either red or black?
1.00 or 100% chance
5.00 or 50% chance
0.00 or 0% chance
100.00 or 100% chance
11
793 passengers of color had reg screening, 84 had additional. 1654 white passengers had reg screening, 42 had additional
Probability white passenger additional screening: 1696/2573 = .659 (ab 66%)
Probability white passenger additional screening: 84/877= .096 (almost 10%)
Probability white passenger additional screening: 42/1696=.025 (about 2.5%)
Probability white passenger additional screening: 84/126 = .666 (about 66%)
12
The addition rule for mutual exclusivity is...
p(A or B) = p(A) + p(B) - p(A and B)
p(A or B) = p(A) + p(B)
13
793 passengers of color had reg screening, 84 had additional. 1654 white passengers had reg screening, 42 had additional
Probability POC recieve additional screening: 84/126 = .666 (about 66%)
Probability POC recieve additional screening: 1696 / 2573 = .659 (ab 66%)
Probability POC recieve additional screening: 84/877 = .096 (almost 10%)
Probability POC recieve additional screening: 42/1696 =.025 (about 2.5%)
14
Conditional Probability - the probability of an event that is dependent on...
the occurrence of another event
the disappearance of the event
the disappearance of another event
the occurrence of the event
15
Inferential statistics - not just describing a set of data, but...
making predictions or conclusion about sample data relative to a population
finding correlations between sample data relative to a population
finding differences between sample data relative to a population
comparing correlations of sample data and data of a population
16
Subjective probability: ___, can often lead to poor estimates of probability (and the negative consequences that follow)
estimate of likelihood of an event based on opinion
estimate of likelihood of an event based on personal experience
all of the answers are correct
estimate of likelihood of an event based on estimation
17
In inferential stats, we use probability values (p-values). What is the threshold p-value?
Key threshold p-value is .5
Key threshold p-value is 0.5
Key threshold p-value is .005
Key threshold p-value is .05
18
793 passengers of color had reg screening, 84 had additional. 1654 white passengers had reg screening, 42 had additional
Probability of a passenger being white is 42 / 1696 = 0.02 (about 2%)
Probability of a passenger being white is 2573 / 1696 = 1.51 (about 1.5%)
Probability of a passenger being white is 793 / 1696 = .467 (about 47%)
Probability of a passenger being white is 1696 / 2573 = .659 (about 66%)
19
What is the multiplication rule for dependent events?
p(A and B)= p(A) x p(B|A)p(B|A) is the probability of B given that A exists
p(A and B) = p(A) x p(B)