Business Stats ch 5-7

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Special Rule of Addition

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

All of the above

A normal distribution can be described as a/an ____ distribution.

minimum and maximum times to load a delivery truck.

A random variable, time to load a delivery truck, is uniformly distributed. The distribution is defined by the

rectangular.

A uniform distribution's shape is:

a collection of outcomes from an experiment.

An event is:

symmetrical.

For a binomial distribution with n = 15, as π changes from 0.05 toward 0.50, the distribution will become:

each trial is limited to two outcomes.

For a binomial probability distribution:

equal to the mean of the distribution.

For any probability distribution, the expected value is:

the distribution is defined by the mean and standard deviation of the random variable

If a random variable is normally distributed:

may be any value within a certain range.

In a continuous probability distribution, the random variable:

all possible outcomes of an experiment.

In an experiment, a random variable represents:

the probabilities for all possible outcomes must sum to 1.00.

In general, a discrete probability distribution requires that:

General Rule of Addition

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

Special Rule of Multiplication

P(A&B)=P(A)P(B/A)

Complement Rule

P(x)= 1-P(*x)

the likelihood that an event will happen.

Probability is defined as:

the probability of two events, which are not mutually exclusive.

The General Rule of Addition is used to compute:

the probability of two or more dependent events.

The General Rule of Multiplication is used to compute:

the probability of two or more mutually exclusive events.

The Special Rule of Addition is used to compute:

in a permutation order is important and in a combination order is not important.

The difference between a permutation and a combination is:

zero.

The joint probability of two mutually exclusive events is:

the Poisson probability distribution.

The mean and variance are equal for:

continuous

The normal distribution is a _____ distribution.

one event affects the likelihood of another event.

Two events are not independent if:

the complement rule.

When we subtract the probability of an event from 1, we are using the:

Probability values range from 0 to 1, inclusive.

Which of the following is a correct statement about probability?

The outcome of any trial is dependent on the outcomes of previous trials.

Which of the following is not a characteristic of a binomial distribution?

Independent

Which of the following is not a type of probability?

All of the above are correct.

Which of the following statements is correct regarding the standard normal distribution?

A probability distribution summarizes all possible experimental outcomes and their probability.

Which of the following statements is true about a probability distribution?

The Poisson probability distribution

Which probability distribution is applied when the probability of a success is very small?

probability distribution

a listing of all the outcomes of an experiment and the probability associated with each other

experiment

a process that leads to the occurrence of one and only on of several possible results

objective

based on facts

general

both aren't mutually exclusive, conditional

2.71828

e

classical probability

favorable outcomes/total possible outcomes

subjective

has opinion onit

special

mutually exclusive

Combination formula

nCr a group,committee

Permutation formula

nPr how many different arrangments

empirical propability

number of times the event occurs/total number of observations

law of large numbers

over a large number of trials, the empirical probability of an event will approach its true probability

subjective concept of probability

the likelihood (probability) of a particular event happening that is assigned by an individual based on whatever information is available

mulitplication formula

total outcomes=(m)(n)


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