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Stats 2 Exam

Authored by Jeffrey Worth

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Stats 2 Exam
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37 questions

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1.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

A probability law used to compute the probability of the union of two events. It is P(a ∙ B) = P(a) + P(B) − P(a ∩ B). For mutually exclusive events, P(a ∩ B) = 0; in this case the addition law reduces to P(a ∙ B) = P(a) + P(B).

Addition Law

Bayes Theorem

Classical Method

Conditional Probability

2.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Two requirements that restrict the man- ner in which probability assignments can be made: (1) for each experimental outcome Ei we must have 0 ≤ P(Ei) ≤ 1; (2) considering all experimental outcomes, we must have P(E1) + P(E2) + . . . + P(En) = 1.0.

Multiplication Law

Combination

Basic requirements for assigning probabilities

Mutually Exclusive Events

3.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

A method used to compute posterior probabilities.

Joint Probability

Bayes’ theorem

marginal Probability

Multiplication Law

4.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

A method of assigning probabilities that is appropriate when all the experimental outcomes are equally likely.

Independent Events

Combination

Multi-step Experiment

Classical method

5.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

In an experiment we may be interested in determining the number of ways n objects may be selected from among n objects without regard to the order in which the n objects are selected.

Complement of A

Conditional Probability

Combination

Intersection of A & B

6.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

The event consisting of all sample points that are not in a.

Complement of A

Event

Independent Events

Intersection of A & B

7.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

The probability of an event given that another event already occurred. The conditional probability of a given B is P(a ∣ B) = P(a ∩ B)/P(B

Conditional probability

Marginal probability

Joint probability

Multiplication law

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