BANA Exam 2

Pataasin ang iyong marka sa homework at exams ngayon gamit ang Quizwiz!

The range of probability is

0-1

The union of events A and B is the event containing all the sample points belonging to

A or B or both

According to Perfect Payday, Jeffrey Rich was

CEO of Affiliated Computer Services

The standard deviation of a normal distribution

cannot be negative

The Statistics in Practice example in Chapter 4 is primarily concerned with

part failures

An experiment consists of four outcomes with P(E 1) = 0.2, P(E 2) = 0.3, and P(E 3) = 0.4. The probability of outcome E 4 is

0.100

If A and B are independent events with P(A) = 0.2 and P(B) = 0.6, then P(A union B) =

0.68

The number of customers that enter a store during one day is an example of

a discrete random variable

A normal distribution with a mean of 0 and a standard deviation of 1 is called

a standard normal distribution

A probability distribution showing the probability of x successes in n trials, where the probability of success does not change from trial to trial, is termed a

binomial probability distribution

The binomial probability distribution is used with a(n) _____ random variable

discrete

A random variable that can assume only a finite number of values is referred to as a(n)

discrete random variable

In a binomial experiment, the probability

does not change from trial to trial

What is a collection of sample points called?

event

Which of the following is a characteristic of an experiment where the binomial probability distribution is applicable?

exactly two outcomes are possible on each trial

A measure of the average value of a random variable is called a(n)

expected value

A continuous probability distribution that is useful in describing the time, or space, between occurrences of an event is a(n) _____ probability distribution.

exponential

The probability distribution that can be described by just one parameter is the​

exponential

There is a lower limit but no upper limit for a random variable that follows the _____ probability distribution.

exponential

The _____ probability function is based in part on the counting rule for combinations.

hypergeometric

To compute the probability that in a random sample of n elements, selected without replacement, we will obtain x successes, we would use the _____ probability distribution.

hypergeometric

A sample point refers to the

individual outcome of an experiment

The symbol ∩ shows the

intersection of two events

A normal probability distribution

is a continuous probability distribution

The probability that a continuous random variable takes any specific value

is equal to zero

The center of a normal curve

is the mean of the distribution

When dealing with the number of occurrences of an event over a specified interval of time or space, the appropriate probability distribution is a _____ distribution.

poisson

Chapter 6 focuses on

probability distributions

The Statistics in Practice example in Chapter 6 identifies an application concerned with

raw materials prices

A method of assigning probabilities based upon judgment is referred to as the _____ method.

subjective

The probability of an event is the _____ of the probabilities of the sample points in the event.

sum

The highest point of a normal curve occurs at

the mean

A negative value of z indicates

the number of standard deviations an observation is to the left of the mean.

Bayes' theorem is used to compute

the posterior probabilities

The collection of all possible sample points in an experiment is

the sample space

The symbol ∪ shows the

union of events

The intersection of two mutually exclusive events

must always be equal to 0.

The company identified in Chapter 5, Statistics in Practice is

not a company but precinct polling locations

The counting rule that is used for counting the number of experimental outcomes when n objects are selected from a set of N objects where order of selection is important is called the counting rule for

permutations

In the textile industry, a manufacturer is interested in the number of blemishes or flaws occurring in each 100 feet of material. The probability distribution that has the greatest chance of applying to this situation is the

poisson distribution

The Statistics in Practice example in Chapter 5 focuses on

polling booths or machines

Initial estimates of the probabilities of events are known as _____ probabilities

prior

The function that defines the probability distribution of a continuous random variable is a

probability density function

chapter 5 focuses on

probability distributions

The key difference between the binomial and hypergeometric distribution is that, with the hypergeometric distribution, the

probability of success changes from trial to trial

A graphical method of representing the sample points of an experiment is a

tree diagram

Larger values of the standard deviation result in a normal curve that is

wider and flatter

In a standard normal distribution, what is the probability that z is greater than zero?

0.5

The company identified in Chapter 4, Statistics in Practice is

NASA

A decision maker subjectively assigned the following probabilities to the four outcomes of an experiment: P(E1) = 0.15, P(E2) = 0.05, P(E3) = 0.45, and P(E4) = 0.20. Are these probability assignments valid? Explain.

No, the probabilities do not sum to 1

What is the complement of P(A|B)?

P(AC|B)

Chapter 4 focuses on

Probabilty

A graphical representation in which the sample space is represented by a rectangle and events are represented as circles is called a

Venn diagram

The Poisson probability distribution is used with _____ random variable.

a discrete

The addition law is potentially helpful when we are interested in computing the probability of

the union of two events

If A and B are mutually exclusive events with P(A) = 0.295, P(B) = 0.32, then P(A | B) =

0.0000

According to the article in this Module, the probability of winning a prize at the in-store McDonald's Monopoly game was

0.25

The sum of the probabilities of two complementary events is

1.0

An experiment consists of three steps. There are four possible results on the first step, three possible results on the second step, and two possible results on the third step. The total number of experimental outcomes is

24

Which of the following is not a characteristic of the normal probability distribution?

99.72% of the time the random variable assumes a value within plus or minus 1 standard deviation of its mean

The z score for the standard normal distribution

can be either negative or positive

A normal probability distribution

can have a mean of any numerical value

Two events with nonzero probabilities

can not be both mutually exclusive and independent

When the assumption of equally likely outcomes is used to assign probability values, the method used to assign probabilities is referred to as the _____ method.

classical

The counting rule that is used for counting the number of experimental outcomes when n objects are selected from a set of N objects where order of selection is not important is called the rule for

combinations

Posterior probabilities are _____ probabilities.

conditional

The company identified in Chapter 6, Statistics in Practice is

proctor and gamble

A numerical description of the outcome of an experiment is called a

random variable

When the results of experimentation or historical data are used to assign probability values, the method used to assign probabilities is referred to as the _____ method.

relative frequency

If two events are independent, then

the product of their probabilities gives their intersection.


Kaugnay na mga set ng pag-aaral

SYSTEMS ANALYSIS AND DESIGN FINAL

View Set

FRL3000: Smartbook: CH14-Cost of Capital

View Set

Programming Final - Practice Exam Questions

View Set

IC Intro: Unit 1 - What's your name?

View Set

AP US History Exploration (Test questions)

View Set

Unit 1 Progress Check: MCQ Part B

View Set

hormonal regulation of bone tissue *test 2*

View Set

Humanism, the Renaissance, and the Protestant Reformation

View Set

Chapter 25: Structure and Function of the Cardiovascular System

View Set

SUCCESS! In Clinical Laboratory Science - Clinical Chemistry: Instrumentation and Analytical Principles (1-35)

View Set