- 7.3.1: A is a graph that plots observed data versus normal scores.
- 7.3.2: True or False: A normal score is the expected z-score of a data val...
- 7.3.3: In 38, determine whether the normal probability plot indicates that...
- 7.3.4: In 38, determine whether the normal probability plot indicates that...
- 7.3.5: In 38, determine whether the normal probability plot indicates that...
- 7.3.6: In 38, determine whether the normal probability plot indicates that...
- 7.3.7: In 38, determine whether the normal probability plot indicates that...
- 7.3.8: In 38, determine whether the normal probability plot indicates that...
- 7.3.9: Chips per Bag In a 1998 advertising campaign, Nabisco claimed that ...
- 7.3.10: Hours of TV A random sample of college students aged 18 to 24 years...
- 7.3.11: In 1114, use a normal probability plot to assess whether the sample...
- 7.3.12: In 1114, use a normal probability plot to assess whether the sample...
- 7.3.13: In 1114, use a normal probability plot to assess whether the sample...
- 7.3.14: In 1114, use a normal probability plot to assess whether the sample...
Solutions for Chapter 7.3: ASSESSING NORMALITY
Full solutions for Statistics: Informed Decisions Using Data | 4th Edition
`-error (or `-risk)
In hypothesis testing, an error incurred by rejecting a null hypothesis when it is actually true (also called a type I error).
In hypothesis testing, a region in the sample space of the test statistic such that if the test statistic falls within it, the null hypothesis cannot be rejected. This terminology is used because rejection of H0 is always a strong conclusion and acceptance of H0 is generally a weak conclusion
The joint probability distribution of two random variables.
Chi-square (or chi-squared) random variable
A continuous random variable that results from the sum of squares of independent standard normal random variables. It is a special case of a gamma random variable.
The mean of the conditional probability distribution of a random variable.
Conditional probability density function
The probability density function of the conditional probability distribution of a continuous random variable.
A tabular arrangement expressing the assignment of members of a data set according to two or more categories or classiication criteria
Formulas used to determine the number of elements in sample spaces and events.
In hypothesis testing, this is the portion of the sample space of a test statistic that will lead to rejection of the null hypothesis.
A parameter in a tabular CUSUM algorithm that is determined from a trade-off between false alarms and the detection of assignable causes.
Defects-per-unit control chart
See U chart
A probability distribution for a discrete random variable
The amount of variability exhibited by data
An analysis of how the variance of the random variable that represents that output of a system depends on the variances of the inputs. A formula exists when the output is a linear function of the inputs and the formula is simpliied if the inputs are assumed to be independent.
A property of a collection of events that indicates that their union equals the sample space.
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.
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.
Finite population correction factor
A term in the formula for the variance of a hypergeometric random variable.
Fractional factorial experiment
A type of factorial experiment in which not all possible treatment combinations are run. This is usually done to reduce the size of an experiment with several factors.
Gamma random variable
A random variable that generalizes an Erlang random variable to noninteger values of the parameter r