- 15.3.13: Suppose you wish to use the sign test to testHa : p .5 for a paired...
- 15.3.14: Repeat the instructions of Exercise 15.13 forHa : p .5.
- 15.3.15: Repeat the instructions of Exercises 15.13 and15.14 for n 10, 15, a...
- 15.3.16: A paired-difference experiment wasconducted to compare two populati...
- 15.3.17: Property Values In Exercise 10.46,you compared the property evaluat...
- 15.3.18: Gourmet Cooking Two gourmets, Aand B, rated 22 meals on a scale of ...
- 15.3.19: Lead Levels in Blood A study reported inthe American Journal of Pub...
- 15.3.20: Recovery Rates Clinical data concerningthe effectiveness of two dru...
Solutions for Chapter 15.3: The Sign Test for a Paired Experiment
Full solutions for Introduction to Probability and Statistics 1 | 14th Edition
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
See Arithmetic mean.
A distribution with two modes
Bivariate normal distribution
The joint distribution of two normal random variables
The tendency of data to cluster around some value. Central tendency is usually expressed by a measure of location such as the mean, median, or mode.
Conditional probability density function
The probability density function of the conditional probability distribution of a continuous random variable.
Conditional probability mass function
The probability mass function of the conditional probability distribution of a discrete random variable.
The probability 1?a associated with a conidence interval expressing the probability that the stated interval will contain the true parameter value.
A tabular arrangement expressing the assignment of members of a data set according to two or more categories or classiication criteria
A probability distribution for a continuous random variable.
A square matrix that contains the variances and covariances among a set of random variables, say, X1 , X X 2 k , , … . The main diagonal elements of the matrix are the variances of the random variables and the off-diagonal elements are the covariances between Xi and Xj . Also called the variance-covariance matrix. When the random variables are standardized to have unit variances, the covariance matrix becomes the correlation matrix.
Another name for a probability density function
A probability distribution for a discrete random variable
Erlang random variable
A continuous random variable that is the sum of a ixed number of independent, exponential random variables.
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.
A series of tests in which changes are made to the system under study
Extra sum of squares method
A method used in regression analysis to conduct a hypothesis test for the additional contribution of one or more variables to a model.
Any test of signiicance involving the F distribution. The most common F-tests are (1) testing hypotheses about the variances or standard deviations of two independent normal distributions, (2) testing hypotheses about treatment means or variance components in the analysis of variance, and (3) testing signiicance of regression or tests on subsets of parameters in a regression model.
A function used in the probability density function of a gamma random variable that can be considered to extend factorials
A function that is used to determine properties of the probability distribution of a random variable. See Moment-generating function