- 9.2.17: Determine the number of degrees of freedom for the twosamplet test ...
- 9.2.18: Which way of dispensing champagne, the traditionalvertical method o...
- 9.2.19: Suppose m1 and m2 are true mean stopping distances at50 mph for car...
- 9.2.20: Use the data of Exercise 19 to calculate a 95% CI for thedifference...
- 9.2.21: Quantitative noninvasive techniques are needed for routinelyassessi...
- 9.2.22: According to the article Modeling and Predicting theEffects of Subm...
- 9.2.23: Fusible interlinings are being used with increasing frequencyto sup...
- 9.2.24: Damage to grapes from bird predation is a serious problemfor grape ...
- 9.2.25: The accompanying data consists of prices ($) for onesample of Calif...
- 9.2.26: The article The Influence of Corrosion Inhibitor andSurface Abrasio...
- 9.2.27: Anorexia Nervosa (AN) is a psychiatric condition leadingto substant...
- 9.2.28: As the population ages, there is increasing concern aboutaccident-r...
- 9.2.29: The article Effect of Internal Gas Pressure on theCompression Stren...
- 9.2.30: The article Flexure of Concrete Beams Reinforcedwith Advanced Compo...
- 9.2.31: Refer to Exercise 33 in Section 7.3. The cited article alsogave the...
- 9.2.32: The degenerative disease osteoarthritis most frequentlyaffects weig...
- 9.2.33: The article The Effects of a Low-Fat, Plant-BasedDietary Interventi...
- 9.2.34: Consider the pooled t variableT 5 (X 2 Y) 2 (m1 2 m2)Sp 1m 11nwhich...
- 9.2.35: Refer to Exercise 34. Describe the pooled t test fortesting H0: m1 ...
Solutions for Chapter 9.2: The Two-Sample t Test and Confidence Interval
Full solutions for Probability and Statistics for Engineering and the Sciences | 9th Edition
`-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).
a-error (or a-risk)
In hypothesis testing, an error incurred by failing to reject a null hypothesis when it is actually false (also called a type II error).
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.
Axioms of probability
A set of rules that probabilities deined on a sample space must follow. See Probability
Sequences of independent trials with only two outcomes, generally called “success” and “failure,” in which the probability of success remains constant.
The joint probability distribution of two random variables.
Bivariate normal distribution
The joint distribution of two normal random variables
Data consisting of counts or observations that can be classiied into categories. The categories may be descriptive.
The portion of the variability in a set of observations that is due to only random forces and which cannot be traced to speciic sources, such as operators, materials, or equipment. Also called a common cause.
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.
The variance of the conditional probability distribution of a random variable.
A dimensionless measure of the linear association between two variables, usually lying in the interval from ?1 to +1, with zero indicating the absence of correlation (but not necessarily the independence of the two variables).
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
A subset of effects in a fractional factorial design that deine the aliases in the design.
Discrete uniform random variable
A discrete random variable with a inite range and constant probability mass function.
A subset of a sample space.
Finite population correction factor
A term in the formula for the variance of a hypergeometric random variable.
In statistical quality control, that portion of a number of units or the output of a process that is defective.
Fraction defective control chart
See P chart
The harmonic mean of a set of data values is the reciprocal of the arithmetic mean of the reciprocals of the data values; that is, h n x i n i = ? ? ? ? ? = ? ? 1 1 1 1 g .