 83.1: What are the degrees of freedom?
 83.2: Is this a z or t test?
 83.3: Is this a comparison of one or two samples?
 83.4: Is this a righttailed, lefttailed, or twotailed test?
 83.5: From observing the Pvalue, what would you conclude?
 83.6: By comparing the test statistic to the critical value, what would y...
 83.7: Is there a conflict in this output? Explain.
 83.8: What has been proved in this study?
 83.1: In what ways is the t distribution similar to the standard normal d...
 83.2: What are the degrees of freedom for the t test?
 83.3: Find the critical value (or values) for the t test for each. a. n 1...
 83.4: Using Table F, find the Pvalue interval for each test value. a. t ...
 83.5: For Exercises 5 through 18, perform each of the following steps. a....
 83.6: For Exercises 5 through 18, perform each of the following steps. a....
 83.7: For Exercises 5 through 18, perform each of the following steps. a....
 83.8: For Exercises 5 through 18, perform each of the following steps. a....
 83.9: For Exercises 5 through 18, perform each of the following steps. a....
 83.10: For Exercises 5 through 18, perform each of the following steps. a....
 83.11: For Exercises 5 through 18, perform each of the following steps. a....
 83.12: For Exercises 5 through 18, perform each of the following steps. a....
 83.13: For Exercises 5 through 18, perform each of the following steps. a....
 83.14: For Exercises 5 through 18, perform each of the following steps. a....
 83.15: For Exercises 5 through 18, perform each of the following steps. a....
 83.16: For Exercises 5 through 18, perform each of the following steps. a....
 83.17: For Exercises 5 through 18, perform each of the following steps. a....
 83.18: For Exercises 5 through 18, perform each of the following steps. a....
 83.19: Teaching Assistants Stipends A random sample of stipends of teachin...
 83.20: Average Family Size The average family size was reported as 3.18. A...
Solutions for Chapter 83: Hypothesis Testing
Full solutions for Elementary Statistics: A Step by Step Approach  7th Edition
ISBN: 9780073534978
Solutions for Chapter 83: Hypothesis Testing
Get Full SolutionsThis textbook survival guide was created for the textbook: Elementary Statistics: A Step by Step Approach, edition: 7. Elementary Statistics: A Step by Step Approach was written by and is associated to the ISBN: 9780073534978. Since 28 problems in chapter 83: Hypothesis Testing have been answered, more than 30481 students have viewed full stepbystep solutions from this chapter. Chapter 83: Hypothesis Testing includes 28 full stepbystep solutions. This expansive textbook survival guide covers the following chapters and their solutions.

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

Analytic study
A study in which a sample from a population is used to make inference to a future population. Stability needs to be assumed. See Enumerative study

Attribute
A qualitative characteristic of an item or unit, usually arising in quality control. For example, classifying production units as defective or nondefective results in attributes data.

Biased estimator
Unbiased estimator.

Chisquare test
Any test of signiicance based on the chisquare distribution. The most common chisquare 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

Conidence level
Another term for the conidence coeficient.

Consistent estimator
An estimator that converges in probability to the true value of the estimated parameter as the sample size increases.

Contrast
A linear function of treatment means with coeficients that total zero. A contrast is a summary of treatment means that is of interest in an experiment.

Control limits
See Control chart.

Covariance matrix
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 offdiagonal elements are the covariances between Xi and Xj . Also called the variancecovariance matrix. When the random variables are standardized to have unit variances, the covariance matrix becomes the correlation matrix.

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

Decision interval
A parameter in a tabular CUSUM algorithm that is determined from a tradeoff between false alarms and the detection of assignable causes.

Defect
Used in statistical quality control, a defect is a particular type of nonconformance to speciications or requirements. Sometimes defects are classiied into types, such as appearance defects and functional defects.

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.

Deming’s 14 points.
A management philosophy promoted by W. Edwards Deming that emphasizes the importance of change and quality

Discrete uniform random variable
A discrete random variable with a inite range and constant probability mass function.

Enumerative study
A study in which a sample from a population is used to make inference to the population. See Analytic study

Exponential random variable
A series of tests in which changes are made to the system under study

Geometric mean.
The geometric mean of a set of n positive data values is the nth root of the product of the data values; that is, g x i n i n = ( ) = / w 1 1 .

Hat matrix.
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 .