- 8.5.24: Find and interpret a 95% confidence interval fora population mean m...
- 8.5.25: Find a 90% confidence interval for a populationmean m for these val...
- 8.5.26: Find a (1 a)100% confidence interval for apopulation mean m for the...
- 8.5.27: A random sample of n 300 observations froma binomial population pro...
- 8.5.28: Suppose the number of successes observed inn 500 trials of a binomi...
- 8.5.29: A random sample of n measurements is selectedfrom a population with...
- 8.5.30: Compare the confidence intervals in Exercise8.29. What effect does ...
- 8.5.31: Refer to Exercise 8.30.a. Calculate the width of a 90% confidence i...
- 8.5.32: A Chemistry Experiment In an electrolysisexperiment, a class measur...
- 8.5.33: Acid Rain Acid rain, caused by the reactionof certain air pollutant...
- 8.5.34: Working Women In an Advertising Agewhite paper concerning the chang...
- 8.5.35: Hamburger Meat The meat department ofa local supermarket chain pack...
- 8.5.36: Same-Sex Marriage The results of a CBSNews Poll concerning views on...
- 8.5.37: SUVs A sample survey is designed to estimatethe proportion of sport...
- 8.5.38: Who Killed the Electric Car? New car modelswith names such as the V...
- 8.5.39: Whats Normal? What is normal, when itcomes to peoples body temperat...
- 8.5.40: Gonna' Vote? How likely are you to vote inthe next national electio...
Solutions for Chapter 8.5: Interval Estimation
Full solutions for Introduction to Probability and Statistics 1 | 14th Edition
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
A study in which a sample from a population is used to make inference to a future population. Stability needs to be assumed. See Enumerative study
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.
Sequences of independent trials with only two outcomes, generally called “success” and “failure,” in which the probability of success remains constant.
When y fx = ( ) and y is considered to be caused by x, x is sometimes called a causal variable
A tabular arrangement expressing the assignment of members of a data set according to two or more categories or classiication criteria
Continuous random variable.
A random variable with an interval (either inite or ininite) of real numbers for its range.
See Control chart.
A measure of association between two random variables obtained as the expected value of the product of the two random variables around their means; that is, Cov(X Y, ) [( )( )] =? ? E X Y ? ? X Y .
Another name for factors that are arranged in a factorial experiment.
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
An expression sometimes used for nonlinear regression models or polynomial regression models.
Degrees of freedom.
The number of independent comparisons that can be made among the elements of a sample. The term is analogous to the number of degrees of freedom for an object in a dynamic system, which is the number of independent coordinates required to determine the motion of the object.
The response variable in regression or a designed experiment.
Discrete uniform random variable
A discrete random variable with a inite range and constant probability mass function.
Erlang random variable
A continuous random variable that is the sum of a ixed number of independent, exponential random variables.
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.
Fractional factorial experiment
A type of factorial experiment in which not all possible treatment combinations are run. This is usually done to reduce the size of an experiment with several factors.
An arrangement of the frequencies of observations in a sample or population according to the values that the observations take on
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.