Question 1

The number of female customers out of a random sample of 100 customers arriving at a department store has a binomial distribution.

Accepted Answer

A) True 
 B)False

Question 2

Find the probability that the number of arrivals between 3:30 and 4:00 P.M. is at least 10.

Accepted Answer

@#LAT-DLM& = 3; P(X

Question 3

Retries: The following table contains the probability distribution for X = the number of retries necessary to successfully transmit a 1024K data package through a double satellite media.
  
-What is the probability of a least one retry?

Accepted Answer

p(1) + p(2

Question 4

The binomial probability distribution is a discrete probability distribution.

Accepted Answer

A) True 
 B)False

Question 5

The trials in a binomial experiment are ____________________, meaning the outcome of one trial does not affect the outcomes of any other trials.

Accepted Answer

The answer of The trials in a binomial experiment are...

Question 6

Shopping Outlet: A shopping outlet estimates the probability distribution of the number of stores shoppers actually enter as shown in the table below.
  
-Calculate the variance and standard deviation of Y directly from the probability distribution of Y.

Accepted Answer

The answer of Shopping Outlet: A shopping outlet estimates the...

Question 7

The number of home insurance policy holders is an example of a discrete random variable

Accepted Answer

A) True 
 B)False

Question 8

The number of days that a microcomputer goes without a breakdown is an example of a(n) ____________________ random variable.

Accepted Answer

The answer of The number of days that a microcomputer...

Question 9

The Poisson random variable is a:

Accepted Answer

A)  discrete random variable with infinitely many possible values. 
B)  discrete random variable with finite number of possible values. 
C)  continuous random variable with infinitely many possible values. 
D)  continuous random variable with finite number of possible values. 
A)  discrete random variable with infinitely many possible values. 
B)  discrete random variable with finite number of possible values. 
C)  continuous random variable with infinitely many possible values. 
D)  continuous random variable with finite number of possible values.

Question 10

The number of accidents that occur annually on a busy stretch of highway is an example of:

Accepted Answer

A)  a discrete random variable. 
B)  a continuous random variable. 
C)  expected value of a discrete random variable. 
D)  expected value of a continuous random variable. 
A)  a discrete random variable. 
B)  a continuous random variable. 
C)  expected value of a discrete random variable. 
D)  expected value of a continuous random variable.

Question 11

The number of homeless people in Boston is an example of a discrete random variable.

Accepted Answer

A) True 
 B)False

Question 12

Stress: Consider a binomial random variable X with n = 5 and p = 0. 40, where X represents the number of times in the final exam week a student with 18 credit hours may feel stressed.
-Find the expected number of times a student may feel stressed during the final exam week.

Accepted Answer

The answer of Stress: Consider a binomial random variable X...

Question 13

Sports Fans: Suppose that past history shows that 5% of college students are sports fans. A sample of 10 students is to be selected.
-Find the probability that at least 1 student is a sports fan.

Accepted Answer

The answer of Sports Fans: Suppose that past history shows...

Question 14

Online Bankers: An official from the securities commission estimates that 75% of all online bankers have profited from the use of insider information. Assume that 15 online bankers are selected at random from the commission's registry.
-Find the variance and standard deviation of the number of Online bankers who have profited from the use of insider information.

Accepted Answer

@#LAT-DLM&²

Question 15

A motorcycle insurance company evaluates many numerical variables about a person before deciding on an appropriate rate for motorcycle insurance. The distance a person rides in a year is an example of a(n) ____________________ random variable.

Accepted Answer

The answer of A motorcycle insurance company evaluates many numerical...

Question 16

The mean of a Poisson distribution, where $\mu$ is the average number of successes occurring in a specified interval, is $\mu$.

Accepted Answer

A) True 
 B)False

Question 17

If X has a binomial distribution with n = 4 and p = 0.3, find P(X > 1).

Accepted Answer

The answer of If X has a binomial distribution with...

Question 18

If the probability of success p remains constant in a binomial distribution, an increase in n will not change the mean.

Accepted Answer

A) True 
 B)False

Question 19

Stress: Consider a binomial random variable X with n = 5 and p = 0. 40, where X represents the number of times in the final exam week a student with 18 credit hours may feel stressed.
-Find P(2 $\le$ X $\le$4).

Accepted Answer

The answer of Stress: Consider a binomial random variable X...

Question 20

The variance of a binomial distribution for which n = 100 and p = 0.20 is:

Accepted Answer

A)  100 
B)  80 
C)  20 
D)  16 
A)  100 
B)  80 
C)  20 
D)  16

The number of female customers out of a random sample of 100 customers arriving at a department store has a binomial distribution.

Find the probability that the number of arrivals between 3:30 and 4:00 P.M. is at least 10.

Retries: The following table contains the probability distribution for X = the number of retries necessary to successfully transmit a 1024K data package through a double satellite media. -What is the probability of a least one retry?

The binomial probability distribution is a discrete probability distribution.

The trials in a binomial experiment are ____________________, meaning the outcome of one trial does not affect the outcomes of any other trials.

Shopping Outlet: A shopping outlet estimates the probability distribution of the number of stores shoppers actually enter as shown in the table below. -Calculate the variance and standard deviation of Y directly from the probability distribution of Y.

The number of home insurance policy holders is an example of a discrete random variable

The number of days that a microcomputer goes without a breakdown is an example of a(n) ____________________ random variable.

The Poisson random variable is a:

The number of accidents that occur annually on a busy stretch of highway is an example of:

The number of homeless people in Boston is an example of a discrete random variable.

Stress: Consider a binomial random variable X with n = 5 and p = 0. 40, where X represents the number of times in the final exam week a student with 18 credit hours may feel stressed. -Find the expected number of times a student may feel stressed during the final exam week.

Sports Fans: Suppose that past history shows that 5% of college students are sports fans. A sample of 10 students is to be selected. -Find the probability that at least 1 student is a sports fan.

A motorcycle insurance company evaluates many numerical variables about a person before deciding on an appropriate rate for motorcycle insurance. The distance a person rides in a year is an example of a(n) ____________________ random variable.

The mean of a Poisson distribution, where $\mu$ is the average number of successes occurring in a specified interval, is $\mu$ .

If X has a binomial distribution with n = 4 and p = 0.3, find P(X > 1).

If the probability of success p remains constant in a binomial distribution, an increase in n will not change the mean.

Stress: Consider a binomial random variable X with n = 5 and p = 0. 40, where X represents the number of times in the final exam week a student with 18 credit hours may feel stressed. -Find P(2 $\le$ X $\le$ 4).

The variance of a binomial distribution for which n = 100 and p = 0.20 is:

What Is Statistics

Graphical and Tabular Descriptive Techniques

Numerical Descriptive Techniques

Data Collection and Sampling

Probability

Continuous Probability Distributions

Sampling Distributions

Introduction to Estimation

Introduction to Hypothesis Testing

Inference About a Population

Inference About Comparing Two Populations, Part 1

Inference About Comparing Two Populations, Part 2

Analysis of Variance

Chi-Squared Tests

Simple Linear Regression and Correlation

Multiple Regression

Review of Statistical Inference

Filters

Exam 6: Random Variables and Discrete Probability Distributions

The number of female customers out of a random sample of 100 customers arriving at a department store has a binomial distribution.

Find the probability that the number of arrivals between 3:30 and 4:00 P.M. is at least 10.

Retries: The following table contains the probability distribution for X = the number of retries necessary to successfully transmit a 1024K data package through a double satellite media. -What is the probability of a least one retry?

The binomial probability distribution is a discrete probability distribution.

The trials in a binomial experiment are ____________________, meaning the outcome of one trial does not affect the outcomes of any other trials.

Shopping Outlet: A shopping outlet estimates the probability distribution of the number of stores shoppers actually enter as shown in the table below. -Calculate the variance and standard deviation of Y directly from the probability distribution of Y.

The number of home insurance policy holders is an example of a discrete random variable

The number of days that a microcomputer goes without a breakdown is an example of a(n) ____________________ random variable.

The Poisson random variable is a:

The number of accidents that occur annually on a busy stretch of highway is an example of:

The number of homeless people in Boston is an example of a discrete random variable.

Stress: Consider a binomial random variable X with n = 5 and p = 0. 40, where X represents the number of times in the final exam week a student with 18 credit hours may feel stressed. -Find the expected number of times a student may feel stressed during the final exam week.

Sports Fans: Suppose that past history shows that 5% of college students are sports fans. A sample of 10 students is to be selected. -Find the probability that at least 1 student is a sports fan.

A motorcycle insurance company evaluates many numerical variables about a person before deciding on an appropriate rate for motorcycle insurance. The distance a person rides in a year is an example of a(n) ____________________ random variable.

The mean of a Poisson distribution, where μ\muμ is the average number of successes occurring in a specified interval, is μ\muμ .

If X has a binomial distribution with n = 4 and p = 0.3, find P(X > 1).

If the probability of success p remains constant in a binomial distribution, an increase in n will not change the mean.

Stress: Consider a binomial random variable X with n = 5 and p = 0. 40, where X represents the number of times in the final exam week a student with 18 credit hours may feel stressed. -Find P(2 ≤\le≤ X ≤\le≤ 4).

The variance of a binomial distribution for which n = 100 and p = 0.20 is:

What Is Statistics

Graphical and Tabular Descriptive Techniques

Numerical Descriptive Techniques

Data Collection and Sampling

Probability

Continuous Probability Distributions

Sampling Distributions

Introduction to Estimation

Introduction to Hypothesis Testing

Inference About a Population

Inference About Comparing Two Populations, Part 1

Inference About Comparing Two Populations, Part 2

Analysis of Variance

Chi-Squared Tests

Simple Linear Regression and Correlation

Multiple Regression

Review of Statistical Inference

Filters

The mean of a Poisson distribution, where $\mu$ is the average number of successes occurring in a specified interval, is $\mu$ .

Stress: Consider a binomial random variable X with n = 5 and p = 0. 40, where X represents the number of times in the final exam week a student with 18 credit hours may feel stressed. -Find P(2 $\le$ X $\le$ 4).