Question 1

The question "What is the probability of a child being in school or the child offending?" is an example of ______.

Accepted Answer

A)   general multiplication rule of probabilities
B)   restrictive multiplication rule of probabilities
C)   restrictive addition rule of probabilities
D)   general addition rule of probabilities D

Question 2

A binominal distribution has a variable that ______.

Accepted Answer

A)   consists of three categories
B)   consists of only one category
C)   consists of multiple categories
D)   consists of two categories D

Question 3

Events that have only two possible outcomes are called Bernoulli Events

Accepted Answer

A) True 
 B)False  True

Question 4

The following equation, $P(A \text { or } B)=P(A)+P(B)-P(A \text { and } B)$ , represents ______.

Accepted Answer

A)   conditional probability
B)   restrictive multiplication rule of probabilities
C)   restrictive addition rule of probabilities
D)   general addition rule of probabilities

Question 5

In a normal distribution, a z-score of at least $\pm$ 1.96 is indicative of a rare event because it occurs 5% of the time or less

Accepted Answer

A) True 
 B)False

Question 6

The bounding rule of probabilities state that ______.

Accepted Answer

A)   probabilities can be less than zero
B)   probabilities can be greater than one
C)   probabilities can be both less than zero and greater than one
D)   probabilities can never be less than zero and greater than one

Question 7

Probability can be defined as ______.

Accepted Answer

A)   the number of times a specific even can occur relative to the total number of times that any event can occur
B)   the total number of possible outcomes minus the number of ways a particular outcome may occur
C)   the total number of ways a possible outcome can occur
D)   the likelihood that the researcher would reject the null hypothesis

Question 8

For every normal distribution, .6826 (68.26%) of the are under the curve lies between the mean and a point that is one standard deviation to the right and one standard deviation to the left of the mean.

Accepted Answer

A) True 
 B)False

Question 9

The larger a sample is the more imprecise the estimates are.

Accepted Answer

A) True 
 B)False

Question 10

Which rule of probability states that for two non-mutually exclusive events the probability of each event occurring is equal to the sum of their separate probabilities minus the probability of their joint occurrences?

Accepted Answer

A)   bounding rule of probabilities
B)   restricted addition rule of probabilities
C)   general addition rule of probabilities
D)   restricted multiplication rule of probabilities

Question 11

When the joint probability of two events occurring is zero, the two events are said to be ______.

Accepted Answer

A)   mutually exclusive
B)   complementary
C)   restrictive
D)   additive

Question 12

The following equation. $P(r)=\left[\frac{n !}{r !(n-r) !} p^{r} q^{n-r}\right]$ , can be used to determine the probability of any number of successes, r, so long as there are only two outcomes-success(p) and failure(q). This is also called the ______.

Accepted Answer

A)   probability theorem
B)   binomial theorem
C)   proportion theorem
D)   probability distribution theorem

Question 13

The restricted addition rule of probabilities relates to ______.

Accepted Answer

A)   determining the number of different ways a particular outcome can occur
B)   the probability of either of two mutually exclusive events occurring is equal to the sum of their separate probabilities
C)   the fact that the probability of an event occurring is between 0 and 100
D)   the probability of two non-mutually exclusive events occurring is equal to the sum of their separate probabilities

Question 14

For every normal distribution, .9544 (95.44%) of the are under the curve lies between the mean and a point that is two standard deviations to the right and two standard deviations to the left of the mean

Accepted Answer

A) True 
 B)False

Question 15

The following equation, $P(A \text { or } B)=P(A)+P(B)$ , represents ______.

Accepted Answer

A)   conditional probability
B)   restrictive multiplication rule of probabilities
C)   restrictive addition rule of probabilities
D)   general addition rule of probabilities

Question 16

The following equation, $P(A \text { and } B)=P(A)^{*} P(B \mid A)$ , represents ______.

Accepted Answer

A)   general multiplication rule of probabilities
B)   restrictive multiplication rule of probabilities
C)   restrictive addition rule of probabilities
D)   general addition rule of probabilities

Question 17

Which rule of probability states that for two mutually exclusive events the probability of each event occurring is equal to the product of their separate probabilities?

Accepted Answer

A)   bounding rule of probabilities
B)   restricted addition rule of probabilities
C)   general addition rule of probabilities
D)   restricted multiplication rule of probabilities

Question 18

For every normal distribution, .9974 (99.74%) of the are under the curve lies between the mean and a point that is three standard deviations to the right and is three standard deviations to the left of the mean

Accepted Answer

A) True 
 B)False

Question 19

If an infinite number of random samples of size n are drawn from any population with mean µ and standard deviation σ, then as the sample size (n) becomes large, the sampling distribution of sample means will approach normality even if the population distribution is not normally distributed is known as the ______.

Accepted Answer

A)   central limit theorem
B)   normal distribution
C)   sampling distribution
D)   standard normal probability distribution

Question 20

State and describe the three characteristics of the sampling distribution of the mean based on the Central Limit Theorem

Accepted Answer

The answer of State and describe the three characteristics of...

Exam 6: Probability, Probability Distributions, and an Introduction to Inferential Statistics

The question "What is the probability of a child being in school or the child offending?" is an example of ______.

A binominal distribution has a variable that ______.

Events that have only two possible outcomes are called Bernoulli Events

The following equation, $P(A \text { or } B) =P(A) +P(B) -P(A \text { and } B)$ , represents ______.

In a normal distribution, a z-score of at least $\pm$ 1.96 is indicative of a rare event because it occurs 5% of the time or less

The bounding rule of probabilities state that ______.

Probability can be defined as ______.

For every normal distribution, .6826 (68.26%) of the are under the curve lies between the mean and a point that is one standard deviation to the right and one standard deviation to the left of the mean.

The larger a sample is the more imprecise the estimates are.

Which rule of probability states that for two non-mutually exclusive events the probability of each event occurring is equal to the sum of their separate probabilities minus the probability of their joint occurrences?

When the joint probability of two events occurring is zero, the two events are said to be ______.

The following equation. $P(r) =\left[\frac{n !}{r !(n-r) !} p^{r} q^{n-r}\right]$ , can be used to determine the probability of any number of successes, r, so long as there are only two outcomes-success(p) and failure(q) . This is also called the ______.

The restricted addition rule of probabilities relates to ______.

For every normal distribution, .9544 (95.44%) of the are under the curve lies between the mean and a point that is two standard deviations to the right and two standard deviations to the left of the mean

The following equation, $P(A \text { or } B) =P(A) +P(B)$ , represents ______.

The following equation, $P(A \text { and } B) =P(A) ^{*} P(B \mid A)$ , represents ______.

Which rule of probability states that for two mutually exclusive events the probability of each event occurring is equal to the product of their separate probabilities?

For every normal distribution, .9974 (99.74%) of the are under the curve lies between the mean and a point that is three standard deviations to the right and is three standard deviations to the left of the mean

State and describe the three characteristics of the sampling distribution of the mean based on the Central Limit Theorem

Exam 6: Probability, Probability Distributions, and an Introduction to Inferential Statistics

The question "What is the probability of a child being in school or the child offending?" is an example of ______.

A binominal distribution has a variable that ______.

Events that have only two possible outcomes are called Bernoulli Events

The following equation, P(A or B) =P(A) +P(B) −P(A and B) P(A \text { or } B) =P(A) +P(B) -P(A \text { and } B) P(A or B) =P(A) +P(B) −P(A and B) , represents ______.

In a normal distribution, a z-score of at least ±\pm± 1.96 is indicative of a rare event because it occurs 5% of the time or less

The bounding rule of probabilities state that ______.

Probability can be defined as ______.

For every normal distribution, .6826 (68.26%) of the are under the curve lies between the mean and a point that is one standard deviation to the right and one standard deviation to the left of the mean.

The larger a sample is the more imprecise the estimates are.

Which rule of probability states that for two non-mutually exclusive events the probability of each event occurring is equal to the sum of their separate probabilities minus the probability of their joint occurrences?

When the joint probability of two events occurring is zero, the two events are said to be ______.

The restricted addition rule of probabilities relates to ______.

For every normal distribution, .9544 (95.44%) of the are under the curve lies between the mean and a point that is two standard deviations to the right and two standard deviations to the left of the mean

The following equation, P(A or B) =P(A) +P(B) P(A \text { or } B) =P(A) +P(B) P(A or B) =P(A) +P(B) , represents ______.

The following equation, P(A and B) =P(A) ∗P(B∣A) P(A \text { and } B) =P(A) ^{*} P(B \mid A) P(A and B) =P(A) ∗P(B∣A) , represents ______.

Which rule of probability states that for two mutually exclusive events the probability of each event occurring is equal to the product of their separate probabilities?

For every normal distribution, .9974 (99.74%) of the are under the curve lies between the mean and a point that is three standard deviations to the right and is three standard deviations to the left of the mean

State and describe the three characteristics of the sampling distribution of the mean based on the Central Limit Theorem

The following equation, $P(A \text { or } B) =P(A) +P(B) -P(A \text { and } B)$ , represents ______.

In a normal distribution, a z-score of at least $\pm$ 1.96 is indicative of a rare event because it occurs 5% of the time or less

The following equation, $P(A \text { or } B) =P(A) +P(B)$ , represents ______.

The following equation, $P(A \text { and } B) =P(A) ^{*} P(B \mid A)$ , represents ______.