- 8.4.42: Consider using a z test to test H0: p 5 .6. Determine theP-value in...
- 8.4.43: A common characterization of obese individuals is thattheir body ma...
- 8.4.44: A manufacturer of nickel-hydrogen batteries randomlyselects 100 nic...
- 8.4.45: A random sample of 150 recent donations at a certainblood bank reve...
- 8.4.46: It is known that roughly 2/3 of all human beings have adominant rig...
- 8.4.47: The article Effects of Bottle Closure Type onConsumer Perception of...
- 8.4.48: With domestic sources of building supplies running lowseveral years...
- 8.4.49: A plan for an executive travelers club has been developedby an airl...
- 8.4.50: Each of a group of 20 intermediate tennis players isgiven two racke...
- 8.4.51: A manufacturer of plumbing fixtures has developed anew type of wash...
- 8.4.52: In a sample of 171 students at an Australian universitythat introdu...
Solutions for Chapter 8.4: Tests Concerning a Population Proportion
Full solutions for Probability and Statistics for Engineering and the Sciences | 9th Edition
Attribute control chart
Any control chart for a discrete random variable. See Variables control chart.
Axioms of probability
A set of rules that probabilities deined on a sample space must follow. See Probability
A subset selected without replacement from a set used to determine the number of outcomes in events and sample spaces.
The variance of the conditional probability distribution of a random variable.
The probability 1?a associated with a conidence interval expressing the probability that the stated interval will contain the true parameter value.
Another term for the conidence coeficient.
A graphical display used to monitor a process. It usually consists of a horizontal center line corresponding to the in-control value of the parameter that is being monitored and lower and upper control limits. The control limits are determined by statistical criteria and are not arbitrary, nor are they related to speciication limits. If sample points fall within the control limits, the process is said to be in-control, or free from assignable causes. Points beyond the control limits indicate an out-of-control process; that is, assignable causes are likely present. This signals the need to ind and remove the assignable causes.
See Control chart.
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.
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.
A subset of effects in a fractional factorial design that deine the aliases in the design.
W. Edwards Deming (1900–1993) was a leader in the use of statistical quality control.
Another name for a probability density function
An experiment in which the tests are planned in advance and the plans usually incorporate statistical models. See Experiment
The amount of variability exhibited by data
A subset of a sample space.
Finite population correction factor
A term in the formula for the variance of a hypergeometric random variable.
In multiple regression, the matrix H XXX X = ( ) ? ? -1 . This a projection matrix that maps the vector of observed response values into a vector of itted values by yˆ = = X X X X y Hy ( ) ? ? ?1 .