 Chapter 7.4.1AYU: In a binomial experiment with n trials and probability of success p...
 Chapter 7.4.1CT: Use the figure to answer the questions that follow: (a) What is ??_...
 Chapter 7.4.1RE: Use the figure to answer the questions that follow. (a) What is ??_...
 Chapter 7.4.2AYU: When adding or subtracting 0.5 from x, we are making a correction f...
 Chapter 7.4.2CT: Draw a standard normal curve and shade the area to the right of z =...
 Chapter 7.4.2RE: Draw a standard normal curve and shade the area indicated. Then fin...
 Chapter 7.4.3AYU: Suppose X is a binomial random variable. To approximate P(X < 5), c...
 Chapter 7.4.3CT: Find the zscores that separate the middle 88% of the data from the...
 Chapter 7.4.3RE: Draw a standard normal curve and shade the area indicated. Then fin...
 Chapter 7.4.4AYU: Suppose X is a binomial random variable. To approximate P(3 ? X ? 1...
 Chapter 7.4.4CT: Find the value of z0.04.
 Chapter 7.4.4RE: Find the zscore such that the area to the right of the zscore is ...
 Chapter 7.4.5AYU: A discrete random variable is given. Assume the probability of the ...
 Chapter 7.4.5CT: (a) Draw a normal curve with ? = 20 and ? = 3.________________(b) S...
 Chapter 7.4.5RE: Find the zscores that separate the middle 92% of the data from the...
 Chapter 7.4.6AYU: A discrete random variable is given. Assume the probability of the ...
 Chapter 7.4.6CT: Suppose that the talk time on the Apple iPhone is approximately nor...
 Chapter 7.4.6RE: Find the value of z0.20 .
 Chapter 7.4.7AYU: A discrete random variable is given. Assume the probability of the ...
 Chapter 7.4.7CT: The waist circumference of males 20 to 29 years old is approximatel...
 Chapter 7.4.7RE: Draw the normal curve with the parameters indicated. Then find the ...
 Chapter 7.4.8AYU: A discrete random variable is given. Assume the probability of the ...
 Chapter 7.4.8CT: Suppose the scores earned on Professor McArthur’s third statistics ...
 Chapter 7.4.8RE: Draw the normal curve with the parameters indicated. Then find the ...
 Chapter 7.4.9AYU: A discrete random variable is given. Assume the probability of the ...
 Chapter 7.4.9CT: In a poll conducted by the Gallup organization, 16% of adult, emplo...
 Chapter 7.4.9RE: Draw the normal curve with the parameters indicated. Then find the ...
 Chapter 7.4.10AYU: A discrete random variable is given. Assume the probability of the ...
 Chapter 7.4.10CT: Jane obtained a random sample of 15 college students and asked how ...
 Chapter 7.4.10RE: Tire Wear Suppose that Dunlop Tire manufactures a tire with a lifet...
 Chapter 7.4.11AYU: A discrete random variable is given. Assume the probability of the ...
 Chapter 7.4.11CT: A continuous random variable X is uniformly distributed with 10 ? X...
 Chapter 7.4.11RE: Wechsler Intelligence Scale The Wechsler Intelligence Scale for Chi...
 Chapter 7.4.12AYU: A discrete random variable is given. Assume the probability of the ...
 Chapter 7.4.12RE: Major League Baseballs According to major league baseball rules, th...
 Chapter 7.4.13AYU: A discrete random variable is given. Assume the probability of the ...
 Chapter 7.4.13RE: America Reads According to a Gallup poll, 46% of Americans 18 years...
 Chapter 7.4.14AYU: A discrete random variable is given. Assume the probability of the ...
 Chapter 7.4.14RE: A normal probability plot of a simple random sample of data from a ...
 Chapter 7.4.15AYU: Compute P (x) using the binomial probability formula. Then determin...
 Chapter 7.4.15RE: A normal probability plot of a simple random sample of data from a ...
 Chapter 7.4.16AYU: Compute P (x) using the binomial probability formula. Then determin...
 Chapter 7.4.16RE: Density of Earth In 1798, Henry Cavendish obtained 27 measurements ...
 Chapter 7.4.17AYU: Compute P (x) using the binomial probability formula. Then determin...
 Chapter 7.4.17RE: Creative Thinking According to a USA Today “Snapshot,” 20% of adult...
 Chapter 7.4.18AYU: Compute P (x) using the binomial probability formula. Then determin...
 Chapter 7.4.19AYU: Compute P (x) using the binomial probability formula. Then determin...
 Chapter 7.4.20AYU: Compute P (x) using the binomial probability formula. Then determin...
 Chapter 7.4.21AYU: OnTime Flights According to American Airlines, Flight 215 from Orl...
 Chapter 7.4.23AYU: Morality In a recent poll, the Gallup Organization found that 45% o...
 Chapter 7.4.24AYU: Sneeze According to a study done by Nick Wilson of Otago University...
 Chapter 7.4.25AYU: Males Living at Home According to the Current Population Survey (In...
 Chapter 7.4.26AYU: Females Living at Home According to the Current Population Survey (...
 Chapter 7.4.27AYU: Boys Are Preferred In a Gallup poll, 37% of survey respondents said...
Solutions for Chapter Chapter 7.4: Fundamentals of Statistics 4th Edition
Full solutions for Fundamentals of Statistics  4th Edition
ISBN: 9780321838704
Solutions for Chapter Chapter 7.4
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2 k p  factorial experiment
A fractional factorial experiment with k factors tested in a 2 ? p fraction with all factors tested at only two levels (settings) each

`error (or `risk)
In hypothesis testing, an error incurred by rejecting a null hypothesis when it is actually true (also called a type I error).

Adjusted R 2
A variation of the R 2 statistic that compensates for the number of parameters in a regression model. Essentially, the adjustment is a penalty for increasing the number of parameters in the model. Alias. In a fractional factorial experiment when certain factor effects cannot be estimated uniquely, they are said to be aliased.

Analysis of variance (ANOVA)
A method of decomposing the total variability in a set of observations, as measured by the sum of the squares of these observations from their average, into component sums of squares that are associated with speciic deined sources of variation

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

Assignable cause
The portion of the variability in a set of observations that can be traced to speciic causes, such as operators, materials, or equipment. Also called a special cause.

Axioms of probability
A set of rules that probabilities deined on a sample space must follow. See Probability

Binomial random variable
A discrete random variable that equals the number of successes in a ixed number of Bernoulli trials.

Causal variable
When y fx = ( ) and y is considered to be caused by x, x is sometimes called a causal variable

Contingency table.
A tabular arrangement expressing the assignment of members of a data set according to two or more categories or classiication criteria

Continuous uniform random variable
A continuous random variable with range of a inite interval and a constant probability density function.

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.

Crossed factors
Another name for factors that are arranged in a factorial experiment.

Dependent variable
The response variable in regression or a designed experiment.

Discrete distribution
A probability distribution for a discrete random variable

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

Exhaustive
A property of a collection of events that indicates that their union equals the sample space.

Experiment
A series of tests in which changes are made to the system under study

Ftest
Any test of signiicance involving the F distribution. The most common Ftests are (1) testing hypotheses about the variances or standard deviations of two independent normal distributions, (2) testing hypotheses about treatment means or variance components in the analysis of variance, and (3) testing signiicance of regression or tests on subsets of parameters in a regression 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.