- 10.1: Passengers and Airline Fares The U.S. Department of Transportation ...
- 10.2: Elementary and Secondary Schools School district information was ex...
- 10.3: Touchdowns and QB Ratings Listed below are the number of touchdown ...
- 10.4: Drivers Age and Accidents A study is conducted to determine the rel...
- 10.5: Typing Speed and Word Processing A researcher desires to know wheth...
- 10.6: Protein and Diastolic Blood Pressure A study was conducted with veg...
- 10.7: Medical Specialties and Gender Although more and more women are bec...
- 10.8: For Exercise 4, find the standard error of the estimate. (103) 1.41...
- 10.9: For Exercise 5, find the standard error of the estimate. (103) 0.46...
- 10.10: For Exercise 6, find the standard error of the estimate. (103) 2.89...
- 10.11: For Exercise 5, find the 90% prediction interval for time when the ...
- 10.12: For Exercise 6, find the 95% prediction interval for pressure when ...
- 10.13: (Opt.) A study found a significant relationship among a persons yea...
- 10.14: (Opt.) Find R when ryx1 _ 0.681 and ryx2 _ 0.872 and rx1x2 _ 0.746....
- 10.15: (Opt.) Find R2 adj when R _ 0.873, n _ 10, and k _ 3. (104) R2 adj ...
- 10.16: The regression line is called the . Line of best fit
- 10.17: If all the points fall on a straight line, the value of r will be o...
- 10.18: Prescription Drug Prices A medical researcher wants to determine th...
- 10.19: Age and Driving Accidents A study is conducted to determine the rel...
- 10.20: Age and Cavities A researcher desires to know if the age of a child...
- 10.21: Fat and Cholesterol A study is conducted with a group of dieters to...
- 10.22: For Exercise 20, find the standard error of the estimate. 1.129*
- 10.23: For Exercise 21, find the standard error of the estimate. 29.5* For...
- 10.24: For Exercise 20, find the 90% prediction interval of the number of ...
- 10.25: For Exercise 21, find the 95% prediction interval of the cholestero...
- 10.26: (Opt.) A study was conducted, and a significant relationship was fo...
- 10.27: (Opt.) Find R when _ 0.561 and _ 0.714 and _ 0.625. R _ 0.729*
- 10.28: (Opt.) Find when R _ 0.774, n _ 8, and k _ 2. R2 adj _ 0.439* *Thes...
Solutions for Chapter 10: Review Execises
Full solutions for Elementary Statistics: A Step by Step Approach 8th ed. | 8th Edition
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).
The arithmetic mean of a set of numbers x1 , x2 ,…, xn is their sum divided by the number of observations, or ( / )1 1 n xi t n ? = . The arithmetic mean is usually denoted by x , and is often called the average
Attribute control chart
Any control chart for a discrete random variable. See Variables control chart.
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.
Any test of signiicance based on the chi-square distribution. The most common chi-square tests are (1) testing hypotheses about the variance or standard deviation of a normal distribution and (2) testing goodness of it of a theoretical distribution to sample data
Coeficient of determination
See R 2 .
A subset selected without replacement from a set used to determine the number of outcomes in events and sample spaces.
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 mean of the conditional probability distribution of a random variable.
The probability of an event given that the random experiment produces an outcome in another event.
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.
Another term for the conidence coeficient.
A two-dimensional graphic used for a bivariate probability density function that displays curves for which the probability density function is constant.
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
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.
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
Error sum of squares
In analysis of variance, this is the portion of total variability that is due to the random component in the data. It is usually based on replication of observations at certain treatment combinations in the experiment. It is sometimes called the residual sum of squares, although this is really a better term to use only when the sum of squares is based on the remnants of a model-itting process and not on replication.
Estimator (or point estimator)
A procedure for producing an estimate of a parameter of interest. An estimator is usually a function of only sample data values, and when these data values are available, it results in an estimate of the parameter of interest.
The expected value of a random variable X is its long-term average or mean value. In the continuous case, the expected value of X is E X xf x dx ( ) = ?? ( ) ? ? where f ( ) x is the density function of the random variable X.