 3.1.1E: What is the difference between an outcome and an event?
 3.1.2E: Determine which of the numbers could not represent the probability ...
 3.1.3E: Explain why the statement is incorrect: The probability of rain tom...
 3.1.4E: When you use the Fundamental Counting Principle, what are you count...
 3.1.5E: Describe the law of large numbers in your own words. Give an example.
 3.1.6E: List the three formulas that can be used to describe complementary ...
 3.1.7E: True or False? In Exercise, determine whether the statement is true...
 3.1.8E: True or False? In Exercise, determine whether the statement is true...
 3.1.9E: True or False? In Exercise, determine whether the statement is true...
 3.1.10E: True or False? In Exercise, determine whether the statement is true...
 3.1.11E: Matching Probabilities In Exercise, match the event with its probab...
 3.1.12E: Matching Probabilities In Exercise, match the event with its probab...
 3.1.13E: Matching Probabilities In Exercise, match the event with its probab...
 3.1.14E: Matching Probabilities In Exercise, match the event with its probab...
 3.1.15E: Identifying a Sample Space In Exercise, identify the sample space o...
 3.1.16E: Identifying a Sample Space In Exercise, identify the sample space o...
 3.1.17E: Identifying a Sample Space In Exercise, identify the sample space o...
 3.1.18E: Identifying a Sample Space In Exercise, identify the sample space o...
 3.1.19E: Identifying a Sample Space In Exercise, identify the sample space o...
 3.1.20E: Identifying a Sample Space In Exercise, identify the sample space o...
 3.1.21E: Identifying Simple Events In Exercise, determine the number of outc...
 3.1.22E: Identifying Simple Events In Exercise, determine the number of outc...
 3.1.23E: Identifying Simple Events In Exercise, determine the number of outc...
 3.1.24E: Identifying Simple Events In Exercise, determine the number of outc...
 3.1.26E: Identifying Simple Events In Exercise, use the Fundamental Counting...
 3.1.27E: Identifying Simple Events In Exercise, use the Fundamental Counting...
 3.1.28E: Identifying Simple Events In Exercise, use the Fundamental Counting...
 3.1.29E: Identifying Simple Events In Exercise, a probability experiment con...
 3.1.30E: Identifying Simple Events In Exercise, a probability experiment con...
 3.1.31E: Identifying Simple Events In Exercise, a probability experiment con...
 3.1.32E: Identifying Simple Events In Exercise, a probability experiment con...
 3.1.33E: Identifying Simple Events In Exercise, a probability experiment con...
 3.1.34E: Identifying Simple Events In Exercise, a probability experiment con...
 3.1.35E: Classifying Types of Probability In Exercise, classify the statemen...
 3.1.36E: Classifying Types of Probability In Exercise, classify the statemen...
 3.1.41E: Probability Experiment In Exercise, a probability experiment consis...
 3.1.42E: Probability Experiment In Exercise, a probability experiment consis...
 3.1.43E: Probability Experiment In Exercise, a probability experiment consis...
 3.1.44E: Probability Experiment In Exercise, a probability experiment consis...
 3.1.45E: Security System The access code for a garage door consists of three...
 3.1.46E: Security System An access code consists of a letter followed by fou...
 3.1.47E: Wet or Dry? You are planning a threeday trip to Seattle, Washingto...
 3.1.48E: Wet or Dry? You are planning a threeday trip to Seattle, Washingto...
 3.1.49E: Wet or Dry? You are planning a threeday trip to Seattle, Washingto...
 3.1.50E: Wet or Dry? You are planning a threeday trip to Seattle, Washingto...
 3.1.59E: Using a Bar Graph to Find Probabilities In Exercise, use the bar gr...
 3.1.60E: Using a Bar Graph to Find Probabilities In Exercise, use the bar gr...
 3.1.61E: Using a Bar Graph to Find Probabilities In Exercise, use the bar gr...
 3.1.62E: Using a Bar Graph to Find Probabilities In Exercise, use the bar gr...
 3.1.65E: Genetics A Punnett square is a diagram that shows all possible gene...
 3.1.66E: Genetics There are six basic types of coloring in registered collie...
 3.1.67E: Using a Pie Chart to Find Probabilities In Exercise, use the pie ch...
 3.1.68E: Using a Pie Chart to Find Probabilities In Exercise, use the pie ch...
 3.1.69E: Using a Pie Chart to Find Probabilities In Exercise, use the pie ch...
 3.1.70E: Using a Pie Chart to Find Probabilities In Exercise, use the pie ch...
 3.1.71E: College Football A stemandleaf plot for the numbers of touchdowns...
 3.1.72E: Individual Stock Price An individual stock is selected at random fr...
 3.1.73E: Writing In Exercise, write a statement that represents the compleme...
 3.1.74E: Writing In Exercise, write a statement that represents the compleme...
 3.1.75E: Rolling a Pair of Dice You roll a pair of sixsided dice and record...
 3.1.76E: Odds In Exercise, use the following information. The chances of win...
 3.1.77E: Odds In Exercise, use the following information. The chances of win...
 3.1.78E: Odds In Exercise, use the following information. The chances of win...
 3.1.79E: Odds In Exercise, use the following information. The chances of win...
 3.1.80E: Odds In Exercise, use the following information. The chances of win...
 3.1.81E: Odds In Exercise, use the following information. The chances of win...
Solutions for Chapter 3.1: Elementary Statistics: Picturing the World 5th Edition
Full solutions for Elementary Statistics: Picturing the World  5th Edition
ISBN: 9780321693624
Solutions for Chapter 3.1
Get Full SolutionsSince 66 problems in chapter 3.1 have been answered, more than 12318 students have viewed full stepbystep solutions from this chapter. This textbook survival guide was created for the textbook: Elementary Statistics: Picturing the World, edition: 5. This expansive textbook survival guide covers the following chapters and their solutions. Chapter 3.1 includes 66 full stepbystep solutions. Elementary Statistics: Picturing the World was written by and is associated to the ISBN: 9780321693624.

Acceptance region
In hypothesis testing, a region in the sample space of the test statistic such that if the test statistic falls within it, the null hypothesis cannot be rejected. This terminology is used because rejection of H0 is always a strong conclusion and acceptance of H0 is generally a weak conclusion

Addition rule
A formula used to determine the probability of the union of two (or more) events from the probabilities of the events and their intersection(s).

Alias
In a fractional factorial experiment when certain factor effects cannot be estimated uniquely, they are said to be aliased.

Arithmetic mean
The arithmetic mean of a set of numbers x1 , x2 ,…, xn is their sum divided by the number of observations, or ( / )1 1 n xi t n ? = . The arithmetic mean is usually denoted by x , and is often called the average

Average run length, or ARL
The average number of samples taken in a process monitoring or inspection scheme until the scheme signals that the process is operating at a level different from the level in which it began.

Bivariate distribution
The joint probability distribution of two random variables.

Continuous random variable.
A random variable with an interval (either inite or ininite) of real numbers for its range.

Convolution
A method to derive the probability density function of the sum of two independent random variables from an integral (or sum) of probability density (or mass) functions.

Correlation matrix
A square matrix that contains the correlations among a set of random variables, say, XX X 1 2 k , ,…, . The main diagonal elements of the matrix are unity and the offdiagonal elements rij are the correlations between Xi and Xj .

Curvilinear regression
An expression sometimes used for nonlinear regression models or polynomial regression models.

Decision interval
A parameter in a tabular CUSUM algorithm that is determined from a tradeoff between false alarms and the detection of assignable causes.

Defectsperunit control chart
See U chart

Deming’s 14 points.
A management philosophy promoted by W. Edwards Deming that emphasizes the importance of change and quality

Discrete random variable
A random variable with a inite (or countably ininite) range.

Eficiency
A concept in parameter estimation that uses the variances of different estimators; essentially, an estimator is more eficient than another estimator if it has smaller variance. When estimators are biased, the concept requires modiication.

Error mean square
The error sum of squares divided by its number of degrees of freedom.

Error sum of squares
In analysis of variance, this is the portion of total variability that is due to the random component in the data. It is usually based on replication of observations at certain treatment combinations in the experiment. It is sometimes called the residual sum of squares, although this is really a better term to use only when the sum of squares is based on the remnants of a modelitting process and not on replication.

Error variance
The variance of an error term or component in a model.

Factorial experiment
A type of experimental design in which every level of one factor is tested in combination with every level of another factor. In general, in a factorial experiment, all possible combinations of factor levels are tested.

Geometric random variable
A discrete random variable that is the number of Bernoulli trials until a success occurs.