Question 1

Experimental outcomes that are based on measurement scales such as time, weight, and distance can be described by _____ random variables.

Accepted Answer

A)  discrete 
B)  continuous 
C)  uniform 
D)  intermittent 
A)  discrete 
B)  continuous 
C)  uniform 
D)  intermittent B

Question 2

When using Excel's HYPGEOM.DIST function, one should choose TRUE for the fifth input if _____.

Accepted Answer

A)  a probability is desired 
B)  a cumulative probability is desired 
C)  the expected value is desired 
D)  None of the answers is correct. 
A)  a probability is desired 
B)  a cumulative probability is desired 
C)  the expected value is desired 
D)  None of the answers is correct. B

Question 3

A continuous random variable may assume _____.

Accepted Answer

A)  any value in an interval or collection of intervals 
B)  only integer values in an interval or collection of intervals 
C)  only fractional values in an interval or collection of intervals 
D)  only the positive integer values in an interval 
A)  any value in an interval or collection of intervals 
B)  only integer values in an interval or collection of intervals 
C)  only fractional values in an interval or collection of intervals 
D)  only the positive integer values in an interval A

Question 4

Excel's HYPGEOM.DIST function can be used to compute _____.

Accepted Answer

A)  bin width for histograms 
B)  hypergeometric probabilities 
C)  cumulative hypergeometric probabilities 
D)  both hypergeometric probabilities and cumulative hypergeometric probabilities 
A)  bin width for histograms 
B)  hypergeometric probabilities 
C)  cumulative hypergeometric probabilities 
D)  both hypergeometric probabilities and cumulative hypergeometric probabilities

Question 5

If one wanted to find the probability of 10 customer arrivals in an hour at a service station, one would generally use the _____.

Accepted Answer

A)  binomial probability distribution 
B)  Poisson probability distribution 
C)  hypergeometric probability distribution 
D)  exponential probability distribution 
A)  binomial probability distribution 
B)  Poisson probability distribution 
C)  hypergeometric probability distribution 
D)  exponential probability distribution

Question 6

The variance is a weighted average of the _____.

Accepted Answer

A)  square root of the deviations from the mean 
B)  square root of the deviations from the median 
C)  squared deviations from the median 
D)  squared deviations from the mean 
A)  square root of the deviations from the mean 
B)  square root of the deviations from the median 
C)  squared deviations from the median 
D)  squared deviations from the mean

Question 7

Assume that you have a binomial experiment with p = 0.4 and a sample size of 50. The variance of this distribution is _____.

Accepted Answer

A)  20 
B)  12 
C)  3.46 
D)  Not enough information is given to answer this question. 
A)  20 
B)  12 
C)  3.46 
D)  Not enough information is given to answer this question.

Question 8

A binomial probability distribution with p = 0.3 is _____.

Accepted Answer

A)  negatively skewed 
B)  symmetrical 
C)  positively skewed 
D)  bimodal 
A)  negatively skewed 
B)  symmetrical 
C)  positively skewed 
D)  bimodal

Question 9

A property of the Poisson distribution is that the mean equals the _____.

Accepted Answer

A)  mode 
B)  median 
C)  variance 
D)  standard deviation 
A)  mode 
B)  median 
C)  variance 
D)  standard deviation

Question 10

A marketing manager instructs his team to make 80 telephone calls to attempt to sell an insurance policy. The random variable in this experiment is the number of sales made. This random variable is a _____.

Accepted Answer

A)  discrete random variable 
B)  continuous random variable 
C)  complex random variable 
D)  None of the answers is correct. 
A)  discrete random variable 
B)  continuous random variable 
C)  complex random variable 
D)  None of the answers is correct.

Question 11

The expected value of a random variable is the _____.

Accepted Answer

A)  value of the random variable that should be observed on the next repeat of the experiment 
B)  value of the random variable that occurs most frequently 
C)  square root of the variance 
D)  None of the answers is correct. 
A)  value of the random variable that should be observed on the next repeat of the experiment 
B)  value of the random variable that occurs most frequently 
C)  square root of the variance 
D)  None of the answers is correct.

Question 12

In a binomial experiment consisting of five trials, the number of different values that x (the number of successes) can assume is _____.

Accepted Answer

A)  2 
B)  5 
C)  6 
D)  10 
A)  2 
B)  5 
C)  6 
D)  10

Question 13

The key difference between binomial and hypergeometric distributions is that with the hypergeometric distribution the _____.

Accepted Answer

A)  probability of success must be less than .5 
B)  probability of success changes from trial to trial 
C)  trials are independent of each other 
D)  random variable is continuous 
A)  probability of success must be less than .5 
B)  probability of success changes from trial to trial 
C)  trials are independent of each other 
D)  random variable is continuous

Question 14

The number of electrical outages in a city varies from day to day. Assume that the number of electrical outages (x) in the city has the following probability distribution. $$\begin{array} { c c } 
x & f ( x ) \
\hline 0 & 0.80 \
1 & 0.15 \
2 & 0.04 \
3 & 0.01
\end{array}$$ The mean and the standard deviation for the number of electrical outages (respectively) are _____.

Accepted Answer

A)  2.6 and 5.77 
B)  0.26 and .577 
C)  3 and .01 
D)  0 and .8 
A)  2.6 and 5.77 
B)  0.26 and .577 
C)  3 and .01 
D)  0 and .8

Question 15

x is a random variable with the probability function: f(x) = x/6 for x = 1, 2, or 3. The expected value of x is _____.

Accepted Answer

A)  0.333 
B)  0.500 
C)  2.000 
D)  2.333 
A)  0.333 
B)  0.500 
C)  2.000 
D)  2.333

Question 16

Excel's BINOM.DIST function can be used to compute _____.

Accepted Answer

A)  bin width for histograms 
B)  binomial probabilities 
C)  cumulative binomial probabilities 
D)  both binomial probabilities and cumulative binomial probabilities 
A)  bin width for histograms 
B)  binomial probabilities 
C)  cumulative binomial probabilities 
D)  both binomial probabilities and cumulative binomial probabilities

Question 17

The number of customers who enter a store during one day is an example of _____.

Accepted Answer

A)  a continuous random variable 
B)  a discrete random variable 
C)  either a continuous or a discrete random variable, depending on the number of the customers 
D)  either a continuous or a discrete random variable, depending on the gender of the customers 
A)  a continuous random variable 
B)  a discrete random variable 
C)  either a continuous or a discrete random variable, depending on the number of the customers 
D)  either a continuous or a discrete random variable, depending on the gender of the customers

Question 18

Bivariate probabilities are often called _____.

Accepted Answer

A)  union probabilities 
B)  conditional probabilities 
C)  marginal probabilities 
D)  joint probabilities 
A)  union probabilities 
B)  conditional probabilities 
C)  marginal probabilities 
D)  joint probabilities

Question 19

The expected value for a binomial probability distribution is _____.

Accepted Answer

A)  E(x) = pn(1 − n) 
B)  E(x) = p(1 − p) 
C)  E(x) = np 
D)  E(x) = np(1 − p) 
A)  E(x) = pn(1 − n) 
B)  E(x) = p(1 − p) 
C)  E(x) = np 
D)  E(x) = np(1 − p)

Question 20

Excel's POISSON.DIST function can be used to compute _____.

Accepted Answer

A)  bin width for histograms 
B)  Poisson probabilities 
C)  cumulative Poisson probabilities 
D)  both Poisson probabilities and cumulative Poisson probabilities 
A)  bin width for histograms 
B)  Poisson probabilities 
C)  cumulative Poisson probabilities 
D)  both Poisson probabilities and cumulative Poisson probabilities

Experimental outcomes that are based on measurement scales such as time, weight, and distance can be described by _____ random variables.

When using Excel's HYPGEOM.DIST function, one should choose TRUE for the fifth input if _____.

A continuous random variable may assume _____.

Excel's HYPGEOM.DIST function can be used to compute _____.

If one wanted to find the probability of 10 customer arrivals in an hour at a service station, one would generally use the _____.

The variance is a weighted average of the _____.

Assume that you have a binomial experiment with p = 0.4 and a sample size of 50. The variance of this distribution is _____.

A binomial probability distribution with p = 0.3 is _____.

A property of the Poisson distribution is that the mean equals the _____.

A marketing manager instructs his team to make 80 telephone calls to attempt to sell an insurance policy. The random variable in this experiment is the number of sales made. This random variable is a _____.

The expected value of a random variable is the _____.

In a binomial experiment consisting of five trials, the number of different values that x (the number of successes) can assume is _____.

The key difference between binomial and hypergeometric distributions is that with the hypergeometric distribution the _____.

x is a random variable with the probability function: f(x) = x/6 for x = 1, 2, or 3. The expected value of x is _____.

Excel's BINOM.DIST function can be used to compute _____.

The number of customers who enter a store during one day is an example of _____.

Bivariate probabilities are often called _____.

The expected value for a binomial probability distribution is _____.

Excel's POISSON.DIST function can be used to compute _____.

Data and Statistics

Descriptive Statistics: Tabular and Graphical Displays

Descriptive Statistics: Numerical Measures

Introduction to Probability

Continuous Probability Distributions

Sampling and Sampling Distributions

Interval Estimation

Hypothesis Tests

Inference About Means and Proportions With Two Populations

Inferences About Population Variances

Tests of Goodness of Fit, Independence, and Multiple Proportions

Experimental Design and Analysis of Variance

Simple Linear Regression

Multiple Regression

Regression Analysis: Model Building

Time Series Analysis and Forecasting

Nonparametric Methods

Statistical Methods for Quality Control

Decision Analysis

Sample Survey

Filters

Exam 5: Discrete Probability Distributions

Experimental outcomes that are based on measurement scales such as time, weight, and distance can be described by _____ random variables.

When using Excel's HYPGEOM.DIST function, one should choose TRUE for the fifth input if _____.

A continuous random variable may assume _____.

Excel's HYPGEOM.DIST function can be used to compute _____.

If one wanted to find the probability of 10 customer arrivals in an hour at a service station, one would generally use the _____.

The variance is a weighted average of the _____.

Assume that you have a binomial experiment with p = 0.4 and a sample size of 50. The variance of this distribution is _____.

A binomial probability distribution with p = 0.3 is _____.

A property of the Poisson distribution is that the mean equals the _____.

A marketing manager instructs his team to make 80 telephone calls to attempt to sell an insurance policy. The random variable in this experiment is the number of sales made. This random variable is a _____.

The expected value of a random variable is the _____.

In a binomial experiment consisting of five trials, the number of different values that x (the number of successes) can assume is _____.

The key difference between binomial and hypergeometric distributions is that with the hypergeometric distribution the _____.

x is a random variable with the probability function: f(x) = x/6 for x = 1, 2, or 3. The expected value of x is _____.

Excel's BINOM.DIST function can be used to compute _____.

The number of customers who enter a store during one day is an example of _____.

Bivariate probabilities are often called _____.

The expected value for a binomial probability distribution is _____.

Excel's POISSON.DIST function can be used to compute _____.

Data and Statistics

Descriptive Statistics: Tabular and Graphical Displays

Descriptive Statistics: Numerical Measures

Introduction to Probability

Continuous Probability Distributions

Sampling and Sampling Distributions

Interval Estimation

Hypothesis Tests

Inference About Means and Proportions With Two Populations

Inferences About Population Variances

Tests of Goodness of Fit, Independence, and Multiple Proportions

Experimental Design and Analysis of Variance

Simple Linear Regression

Multiple Regression

Regression Analysis: Model Building

Time Series Analysis and Forecasting

Nonparametric Methods

Statistical Methods for Quality Control

Decision Analysis

Sample Survey

Filters