 7.7.1: Spinning a quarter With your forefi nger, hold a new quarter (one w...
 7.7.2: How many tosses to get a head? When we toss a penny, experience sho...
 7.7.3: Random digits Th e table of random digits (Table B) was produced by...
 7.7.4: From words to probabilities Probability is a measure of how likely ...
 7.7.5: Rolling a die Imagine rolling a fair, sixsided die, like the kind ...
 7.7.6: Toss three coins What is the probability of getting 2 heads and 1 t...
 7.7.7: Personal random numbers? Ask several of your friends (at least 10 p...
 7.7.8: Playing Pick 4 Th e Pick 4 games in many state lotteries announce a...
 7.7.9: Surprising? You are getting to know your new roommate, assigned to ...
 7.7.10: Cold weather coming A TV weather man, predicting a colderthannorm...
 7.7.11: Reacting to risks National newspapers such as USA Today and the New...
 7.7.12: In the long run Suppose that the fi rst six tosses of a coin give s...
 7.7.13: Which party does it better? An opinion poll selects adult Americans...
 7.7.14: Get rid of exams! Suppose that 80% of a schools students favor abol...
 7.7.15: Basic simulation Use Table B to simulate the responses of 10 indepe...
 7.7.16: Organ donors A recent opinion poll showed that about 75% of America...
 7.7.17: First ace Begin with a standard deck of playing cards. Shuffl e the...
 7.7.18: Rockpaperscissors Almost everyone has played the rockpapersciss...
 7.7.19: An unenlightened gambler (a) A gambler knows that red and black are...
 7.7.20: Sports risks Th e probability of dying if you play high school foot...
 7.7.21: Rainy days Th e TV weatherman says, Th eres a 30% chance of rain to...
 7.7.22: Long runs Most people are surprised at the occurrence of long runs ...
 7.7.23: Is the Belgian euro coin fair? Two Polish math professors and their...
 7.7.24: A game of chance I have a little bet to off er you. Toss a coin 10 ...
 7.7.25: Birth months If you choose a student from your school at random, wh...
 7.7.26: First ace again In Exercise 7.17 (page 325), you performed a simula...
 7.7.27: Toss 4 times Imagine tossing a fair coin 4 times. (a) List all poss...
 7.7.28: Use your head Refer to Exercise 7.27. In two diff erent ways, fi nd...
 7.7.29: Pairadice Imagine rolling two fair, sixsided diceone red and one...
 7.7.30: Foursided dice A tetrahedron (see image) is a pyramid with four fa...
 7.7.31: Causes of death Government data assign a single cause for each deat...
 7.7.32: Do husbands do their share? An opinion poll interviewed a random sa...
 7.7.33: Card tables and twoway tables Refer to Example 7.14. Let event C 5...
 7.7.34: More cards Shuffl e a standard deck of playing cards and deal one c...
 7.7.35: Sampling senators, I Th e twoway table below describes the members...
 7.7.36: Who eats breakfast? Students in an urban school were curious about ...
 7.7.37: Playing roulette An American roulette wheel has 38 slots with numbe...
 7.7.38: More roulette Refer to Exercise 7.37. Let event G 5 ball lands in a...
 7.7.39: Sampling senators, II Th e twoway table below describes the member...
 7.7.40: Breakfast eaters, again Th e twoway table below describes the 595 ...
 7.7.41: Playing roulette again Refer to Exercise 7.37 (page 338). Construct...
 7.7.42: At least, at most Refer to Example 7.20 (page 342). Whats the proba...
 7.7.43: MySpace versus Facebook, I A recent survey suggests that 85% of col...
 7.7.44: Computers at Princeton An October 2007 census revealed that 40% of ...
 7.7.45: Researchers carried out a survey of fourth, fi ft h, and sixthgra...
 7.7.46: TCNJ survey, I Th e 28 students in Mr. Starness introductory statis...
 7.7.47: TCNJ survey, II Refer to Exercise 7.46. Construct a Venn diagram to...
 7.7.48: Mutually exclusive versus complementary For each part below, classi...
 7.7.49: Are you my (blood) type? Each of us has an ABO blood type, which de...
 7.7.50: More on blood Th e table below shows the distribution of ABO blood ...
 7.7.51: Even more on blood A persons blood type can be further classifi ed ...
 7.7.52: Ask Marilyn again! In a Parade magazine column, Marilyn vos Savant ...
 7.7.53: Sampling senators, III Th e twoway table at left describes the mem...
 7.7.54: More breakfast eaters Th e twoway table below describes the 595 st...
 7.7.55: Rolling dice Suppose you roll two fair, sixsided diceone red and o...
 7.7.56: Tossing coins Suppose you toss a fair coin twice. Defi ne two event...
 7.7.57: Teachers and advanced degrees Select an adult at random. Let A 5 pe...
 7.7.58: Mutually exclusive versus independent Decide whether the following ...
 7.7.59: Toss four more Imagine that you toss a fair coin 4 times. (a) Draw ...
 7.7.60: Not just hearts Refer to Example 7.23 (page 353). Find the probabil...
 7.7.61: Looking for hearts again Refer to Example 7.23 (page 353). Suppose ...
 7.7.62: Monopoly In the game of Monopoly, a player rolls two sixsided dice...
 7.7.63: MySpace versus Facebook, II A recent survey suggests that 85% of co...
 7.7.64: More computers at Princeton An October 2007 census revealed that 40...
 7.7.65: Fill er up! In June 2008, 88% of automobile drivers fi lled their v...
 7.7.66: Desktop or laptop? A computer company makes desktop and laptop comp...
 7.7.67: Assessing risk Refer to Example 7.25 (page 358). Use the probabilit...
 7.7.68: False positives and negatives Which is a more serious error in each...
 7.7.69: Testing for AIDS, I The ELISA test can help detect whether people h...
 7.7.70: Testing for AIDS, II Refer to the previous exercise. Suppose that w...
 7.7.71: Tall people and basketball players Select an adult at random. Let T...
 7.7.72: TCNJ survey, III Exercise 7.46 (page 347) described the results of ...
 7.7.73: Th e chevaliers problem In the early 1700s, French gamblers played ...
 7.7.74: Th e chevaliers other problem To increase interest among French gam...
 7.7.75: Cats and dogs In an elementary school classroom, there are 40 stude...
 7.7.76: Testing the test Are false positives too common in some medical tes...
 7.7.77: Th e birthday problem If 30 unrelated people are in a room at the s...
 7.7.78: Activity 7.3 followup Return to Activity 7.3 (page 348). Assume th...
 7.7.79: A dice game Your teacher has invented another fair dice game to pla...
 7.7.80: Sandblasters 2007 Eight teams of the worlds best sand sculptors gat...
 7.7.81: Class rank Choose a college student at random and ask his or her cl...
 7.7.82: Th e girls Suppose that about 48% of all infants are girls. Th e ma...
 7.7.83: Who smokes? Th e question Do you smoke? was asked of a random sampl...
 7.7.84: More smokers Draw a Venn diagram to represent the sample space of E...
 7.7.85: Challenger disaster On January 28, 1986, Space Shuttle Challenger e...
 7.7.86: Looking for metal A boy uses a homemade metal detector to look for ...
 7.7.87: Random digits Suppose you instruct your calculator to choose a rand...
 7.7.88: Drug use in baseball On December 13, 2007, former senator George Mi...
Solutions for Chapter 7: Probability: What Are the Chances?
Full solutions for Statistics Through Applications  2nd Edition
ISBN: 9781429219747
Solutions for Chapter 7: Probability: What Are the Chances?
Get Full SolutionsChapter 7: Probability: What Are the Chances? includes 88 full stepbystep solutions. Since 88 problems in chapter 7: Probability: What Are the Chances? have been answered, more than 14450 students have viewed full stepbystep solutions from this chapter. This expansive textbook survival guide covers the following chapters and their solutions. This textbook survival guide was created for the textbook: Statistics Through Applications, edition: 2. Statistics Through Applications was written by and is associated to the ISBN: 9781429219747.

Attribute
A qualitative characteristic of an item or unit, usually arising in quality control. For example, classifying production units as defective or nondefective results in attributes data.

Bimodal distribution.
A distribution with two modes

Bivariate distribution
The joint probability distribution of two random variables.

Block
In experimental design, a group of experimental units or material that is relatively homogeneous. The purpose of dividing experimental units into blocks is to produce an experimental design wherein variability within blocks is smaller than variability between blocks. This allows the factors of interest to be compared in an environment that has less variability than in an unblocked experiment.

Central composite design (CCD)
A secondorder response surface design in k variables consisting of a twolevel factorial, 2k axial runs, and one or more center points. The twolevel factorial portion of a CCD can be a fractional factorial design when k is large. The CCD is the most widely used design for itting a secondorder model.

Comparative experiment
An experiment in which the treatments (experimental conditions) that are to be studied are included in the experiment. The data from the experiment are used to evaluate the treatments.

Confounding
When a factorial experiment is run in blocks and the blocks are too small to contain a complete replicate of the experiment, one can run a fraction of the replicate in each block, but this results in losing information on some effects. These effects are linked with or confounded with the blocks. In general, when two factors are varied such that their individual effects cannot be determined separately, their effects are said to be confounded.

Conidence coeficient
The probability 1?a associated with a conidence interval expressing the probability that the stated interval will contain the true parameter value.

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

Control limits
See Control chart.

Cumulative sum control chart (CUSUM)
A control chart in which the point plotted at time t is the sum of the measured deviations from target for all statistics up to time t

Defect concentration diagram
A quality tool that graphically shows the location of defects on a part or in a process.

Discrete uniform random variable
A discrete random variable with a inite range and constant probability mass function.

Empirical model
A model to relate a response to one or more regressors or factors that is developed from data obtained from the system.

Enumerative study
A study in which a sample from a population is used to make inference to the population. See Analytic study

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

Fixed factor (or fixed effect).
In analysis of variance, a factor or effect is considered ixed if all the levels of interest for that factor are included in the experiment. Conclusions are then valid about this set of levels only, although when the factor is quantitative, it is customary to it a model to the data for interpolating between these levels.

Forward selection
A method of variable selection in regression, where variables are inserted one at a time into the model until no other variables that contribute signiicantly to the model can be found.

Gamma random variable
A random variable that generalizes an Erlang random variable to noninteger values of the parameter r

Goodness of fit
In general, the agreement of a set of observed values and a set of theoretical values that depend on some hypothesis. The term is often used in itting a theoretical distribution to a set of observations.