Part I

QUESTION 17

1. Probability that an event will occur, but taking into account that another event may occur.

Statistical independence

multiplication rule

Bayes theorem

decision trees

Conditional probability

QUESTION 18

1. When there is a possibility that an event will occur due to the influence of another.

Statistical independence

multiplication rule

Bayes theorem

decision trees

Conditional probability

QUESTION 19

1. Two random events are not influenced by each other.

Statistical independence

multiplication rule

Bayes theorem

decision trees

Conditional probability

QUESTION 20

1. Probability that two events intersect each other.

Statistical independence

multiplication rule

Bayes theorem

decision trees

Conditional probability

QUESTION 21

1. Graphics that help establish a suitable form for decision making

Statistical independence

multiplication rule

Bayes theorem

decision trees

Conditional probability

QUESTION 22

1. When a company seeks the opinion of a group of customers in relation to one of its products and the possible answer is YES or NO, this is an example of:

Conditional probability

Statistical independence

Mutually exclusive events

Collectively exhaustive events

QUESTION 23

1. When one of the events must occur at the time of the experiment (for example, toss the coin and come up heads or tails).

Conditional probability

Statistical independence

Mutually exclusive events

Collectively exhaustive events

QUESTION 24

1. Probability of two or more events occurring.

simple probability

joint probability

Conditional probability

Statistical independence

QUESTION 25

1. Probability that a given event will occur.

simple probability

joint probability

Conditional probability

Statistical independence

Part II Instructions Using the following key answer from 32 to 35.

a. Z-value

b.Tchebyshev's theorem

c. empirical rule

d. bias

32. To determine the position in which a value is found within a set of values.

Z-value

Tchebyshev's theorem

empirical rule

bias

33.Determine the number of values that are within one standard deviation of the mean.

Z-value

Tchebyshev's theorem

empirical rule

bias

34.Determine the number of values that are below a given number of standard deviations from the mean.

Z-value

Tchebyshev's theorem

empirical rule

bias

35.Determine the shape of the distribution of the analyzed data.

Z-value

Tchebyshev's theorem

empirical rule

bias