 Chapter 11.11.1: Effects of caffeine. How does caffeine affect our bodies? In a matc...
 Chapter 11.11.2: Indianapolis voters. Voter registration records show that 68% of al...
 Chapter 11.11.3: Inspecting bearings. A carload lot of bearings has mean diameter 2....
 Chapter 11.11.4: Means in action. Figure 11.1 shows how the mean of n observations b...
 Chapter 11.11.5: Insurance. The idea of insurance is that we all face risks that are...
 Chapter 11.11.6: Generating a sampling distribution. Lets illustrate the idea of a s...
 Chapter 11.11.7: A sample of teens. A study of the health of teenagers plans to meas...
 Chapter 11.11.8: Measurements in the lab. Juan makes a measurement in a chemistry la...
 Chapter 11.11.9: National math scores. The scores of 12thgrade students on the Nati...
 Chapter 11.11.10: What does the central limit theorem say? Asked what the central lim...
 Chapter 11.11.11: Detecting gypsy moths. The gypsy moth is a serious threat to oak an...
 Chapter 11.11.12: SAT scores. The total SAT scores of high school seniors in recent y...
 Chapter 11.11.13: More on insurance. An insurance company knows that in the entire 4S...
 Chapter 11.11.14: Auto thermostats. A maker of auto air conditioners checks a sample ...
 Chapter 11.11.15: Tablet hardness. A pharmaceutical manufacturer forms tablets by com...
 Chapter 11.11.16: Auto thermostats. Exercise 11.14 describes a process that produces ...
 Chapter 11.11.17: The Bureau of Labor Statistics announces that last month it intervi...
 Chapter 11.11.18: A study of voting chose 663 registered voters at random shortly aft...
 Chapter 11.11.19: Annual returns on the more than 5000 common stocks available to inv...
 Chapter 11.11.20: Scores on the SAT college entrance test in a recent year were rough...
 Chapter 11.11.21: Scores on the SAT college entrance test in a recent year were rough...
 Chapter 11.11.22: A newborn baby has extremely low birth weight (ELBW) if it weighs l...
 Chapter 11.11.23: The number of hours a light bulb burns before failing varies from b...
 Chapter 11.11.24: A machine manufactures parts whose diameters vary according to the ...
 Chapter 11.11.25: Womens heights. A random sample of female college students has a me...
 Chapter 11.11.26: Small classes in school. The Tennessee STAR experiment randomly ass...
 Chapter 11.11.27: Playing the numbers. The numbers racket is a wellentrenched illega...
 Chapter 11.11.28: Roulette. A roulette wheel has 38 slots, of which 18 are black, 18 ...
 Chapter 11.11.29: The law of large numbers. Suppose that you roll two balanced dice a...
 Chapter 11.11.30: Whats the mean? Suppose that you roll three balanced dice. We wonde...
 Chapter 11.11.31: Lightning strikes. The number of lightning strikes on a square kilo...
 Chapter 11.11.32: Heights of male students. To estimate the mean height of male stude...
 Chapter 11.11.33: Heights of male students, continued. To estimate the mean height of...
 Chapter 11.11.34: More on heights of male students. In Exercise 11.32, you decided to...
 Chapter 11.11.35: Durable press fabrics. Durable press cotton fabrics are treated to ...
 Chapter 11.11.36: Glucose testing. Shelias doctor is concerned that she may suffer fr...
 Chapter 11.11.37: Pollutants in auto exhausts. The level of nitrogen oxides (NOX) in ...
 Chapter 11.11.38: Glucose testing, continued. Shelias measured glucose level one hour...
 Chapter 11.11.39: Pollutants in auto exhausts, continued. The level of nitrogen oxide...
 Chapter 11.11.40: Returns on stocks. Andrew plans to retire in 40 years. He is thinki...
 Chapter 11.11.41: Auto accidents. The number of accidents per week at a hazardous int...
 Chapter 11.11.42: Airline passengers get heavier. In response to the increasing weigh...
 Chapter 11.11.43: Generating a sampling distribution. We want to know what percent of...
 Chapter 11.11.44: A better way to generate a sampling distribution. You can use the P...
 Chapter 11.11.45: The unique colors of the cashmere sweaters your firm makes resultfr...
 Chapter 11.11.46: Hospital losses. A hospital struggling to contain costs investigate...
 Chapter 11.11.47: Dyeing yarn, continued. What are the natural tolerances for the pH ...
 Chapter 11.11.48: Milling. The width of a slot cut by a milling machine is important ...
 Chapter 11.11.49: Is the quality OK? Statistical control means that a process is stab...
 Chapter 11.11.50: Improving the process. The center of the mesh tensions for the proc...
Solutions for Chapter Chapter 11: Sampling Distributions
Full solutions for The Basic Practice of Statistics  4th Edition
ISBN: 9780716774785
Solutions for Chapter Chapter 11: Sampling Distributions
Get Full SolutionsThis textbook survival guide was created for the textbook: The Basic Practice of Statistics, edition: 4. Chapter Chapter 11: Sampling Distributions includes 50 full stepbystep solutions. The Basic Practice of Statistics was written by and is associated to the ISBN: 9780716774785. Since 50 problems in chapter Chapter 11: Sampling Distributions have been answered, more than 10672 students have viewed full stepbystep solutions from this chapter. This expansive textbook survival guide covers the following chapters and their solutions.

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).

All possible (subsets) regressions
A method of variable selection in regression that examines all possible subsets of the candidate regressor variables. Eficient computer algorithms have been developed for implementing all possible regressions

Alternative hypothesis
In statistical hypothesis testing, this is a hypothesis other than the one that is being tested. The alternative hypothesis contains feasible conditions, whereas the null hypothesis speciies conditions that are under test

Bias
An effect that systematically distorts a statistical result or estimate, preventing it from representing the true quantity of interest.

Bimodal distribution.
A distribution with two modes

Central tendency
The tendency of data to cluster around some value. Central tendency is usually expressed by a measure of location such as the mean, median, or mode.

Chisquare (or chisquared) random variable
A continuous random variable that results from the sum of squares of independent standard normal random variables. It is a special case of a gamma random variable.

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

Cook’s distance
In regression, Cook’s distance is a measure of the inluence of each individual observation on the estimates of the regression model parameters. It expresses the distance that the vector of model parameter estimates with the ith observation removed lies from the vector of model parameter estimates based on all observations. Large values of Cook’s distance indicate that the observation is inluential.

Correction factor
A term used for the quantity ( / )( ) 1 1 2 n xi i n ? = that is subtracted from xi i n 2 ? =1 to give the corrected sum of squares deined as (/ ) ( ) 1 1 2 n xx i x i n ? = i ? . The correction factor can also be written as nx 2 .

Correlation
In the most general usage, a measure of the interdependence among data. The concept may include more than two variables. The term is most commonly used in a narrow sense to express the relationship between quantitative variables or ranks.

Critical region
In hypothesis testing, this is the portion of the sample space of a test statistic that will lead to rejection of the null hypothesis.

Critical value(s)
The value of a statistic corresponding to a stated signiicance level as determined from the sampling distribution. For example, if PZ z PZ ( )( .) . ? =? = 0 025 . 1 96 0 025, then z0 025 . = 1 9. 6 is the critical value of z at the 0.025 level of signiicance. Crossed factors. Another name for factors that are arranged in a factorial experiment.

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

Design matrix
A matrix that provides the tests that are to be conducted in an experiment.

Discrete distribution
A probability distribution for a discrete random variable

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

Firstorder model
A model that contains only irstorder terms. For example, the irstorder response surface model in two variables is y xx = + ?? ? ? 0 11 2 2 + + . A irstorder model is also called a main effects model

Fisher’s least signiicant difference (LSD) method
A series of pairwise hypothesis tests of treatment means in an experiment to determine which means differ.

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