 94.1: True Statements? For the methods of this section, which of the foll...
 94.2: Notation Listed below are combined cityhighway fuel consumption rat...
 94.3: Units of Measure If the values listed in Exercise 2 are changed so ...
 94.4: Confidence Intervals If we use the sample data in Exercise 2, we ge...
 94.5: POTUS Hypothesis Test Example 1 in this section used only five pair...
 94.6: POTUS Confidence Interval Example 2 in this section used only five ...
 94.7: Calculations with Paired Sample Data. In Exercises 7 and 8, assume ...
 94.8: Calculations with Paired Sample Data. In Exercises 7 and 8, assume ...
 94.9: In Exercises 920, assume that the paired sample data are simple ran...
 94.10: In Exercises 920, assume that the paired sample data are simple ran...
 94.11: In Exercises 920, assume that the paired sample data are simple ran...
 94.12: In Exercises 920, assume that the paired sample data are simple ran...
 94.13: In Exercises 920, assume that the paired sample data are simple ran...
 94.14: In Exercises 920, assume that the paired sample data are simple ran...
 94.15: In Exercises 920, assume that the paired sample data are simple ran...
 94.16: In Exercises 920, assume that the paired sample data are simple ran...
 94.17: In Exercises 920, assume that the paired sample data are simple ran...
 94.18: In Exercises 920, assume that the paired sample data are simple ran...
 94.19: In Exercises 920, assume that the paired sample data are simple ran...
 94.20: In Exercises 920, assume that the paired sample data are simple ran...
 94.21: Large Data Sets. In Exercises 2124, use the indicated Data Sets fro...
 94.22: Large Data Sets. In Exercises 2124, use the indicated Data Sets fro...
 94.23: Large Data Sets. In Exercises 2124, use the indicated Data Sets fro...
 94.24: Large Data Sets. In Exercises 2124, use the indicated Data Sets fro...
Solutions for Chapter 94: Two Dependent Samples (Matched Pairs)
Full solutions for Elementary Statistics  12th Edition
ISBN: 9780321836960
Solutions for Chapter 94: Two Dependent Samples (Matched Pairs)
Get Full SolutionsChapter 94: Two Dependent Samples (Matched Pairs) includes 24 full stepbystep solutions. Elementary Statistics was written by and is associated to the ISBN: 9780321836960. This textbook survival guide was created for the textbook: Elementary Statistics, edition: 12. Since 24 problems in chapter 94: Two Dependent Samples (Matched Pairs) have been answered, more than 211645 students have viewed full stepbystep solutions from this chapter. This expansive textbook survival guide covers the following chapters and their solutions.

2 k factorial experiment.
A full factorial experiment with k factors and all factors tested at only two levels (settings) each.

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).

Adjusted R 2
A variation of the R 2 statistic that compensates for the number of parameters in a regression model. Essentially, the adjustment is a penalty for increasing the number of parameters in the model. Alias. In a fractional factorial experiment when certain factor effects cannot be estimated uniquely, they are said to be aliased.

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

Block
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.

Box plot (or box and whisker plot)
A graphical display of data in which the box contains the middle 50% of the data (the interquartile range) with the median dividing it, and the whiskers extend to the smallest and largest values (or some deined lower and upper limits).

Conditional probability distribution
The distribution of a random variable given that the random experiment produces an outcome in an event. The given event might specify values for one or more other random variables

Conditional variance.
The variance of the conditional probability distribution of a random variable.

Control chart
A graphical display used to monitor a process. It usually consists of a horizontal center line corresponding to the incontrol 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 incontrol, or free from assignable causes. Points beyond the control limits indicate an outofcontrol process; that is, assignable causes are likely present. This signals the need to ind and remove the assignable causes.

Control limits
See Control chart.

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.

Crossed factors
Another name for factors that are arranged in a factorial experiment.

Curvilinear regression
An expression sometimes used for nonlinear regression models or polynomial regression models.

Deming
W. Edwards Deming (1900–1993) was a leader in the use of statistical quality control.

Discrete distribution
A probability distribution for a discrete random variable

Distribution function
Another name for a cumulative distribution function.

F distribution.
The distribution of the random variable deined as the ratio of two independent chisquare random variables, each divided by its number of degrees of freedom.

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

Generating function
A function that is used to determine properties of the probability distribution of a random variable. See Momentgenerating function

Harmonic mean
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 .