- Chapter 7.3.8AYU: Determine whether the normal probability plot indicates that the sa...
- Chapter 7.3.9AYU: Chips per Bag In a 1998 advertising campaign, Nabisco claimed that ...
- Chapter 7.3.10AYU: Hours of TV A random sample of college students aged 18 to 24 years...
- Chapter 7.3.11AYU: Use a normal probability plot to assess whether the sample data cou...
- Chapter 7.3.12AYU: Use a normal probability plot to assess whether the sample data cou...
- Chapter 7.3.13AYU: Use a normal probability plot to assess whether the sample data cou...
- Chapter 7.3.14AYU: Use a normal probability plot to assess whether the sample data cou...
- Chapter 7.3.1AYU: A is a graph that plots observed data versus normal scores.
- Chapter 7.3.2AYU: True or False: A normal score is the expected z-score of a data val...
- Chapter 7.3.3AYU: Determine whether the normal probability plot indicates that the sa...
- Chapter 7.3.4AYU: Determine whether the normal probability plot indicates that the sa...
- Chapter 7.3.5AYU: Determine whether the normal probability plot indicates that the sa...
- Chapter 7.3.6AYU: Determine whether the normal probability plot indicates that the sa...
- Chapter 7.3.7AYU: Determine whether the normal probability plot indicates that the sa...
Solutions for Chapter Chapter 7.3: Fundamentals of Statistics 4th Edition
Full solutions for Fundamentals of Statistics | 4th 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
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.
Attribute control chart
Any control chart for a discrete random variable. See Variables control chart.
A distribution with two modes
A chart used to organize the various potential causes of a problem. Also called a ishbone diagram.
A horizontal line on a control chart at the value that estimates the mean of the statistic plotted on the chart. See Control chart.
A subset selected without replacement from a set used to determine the number of outcomes in events and sample spaces.
A correction factor used to improve the approximation to binomial probabilities from a normal distribution.
A two-dimensional graphic used for a bivariate probability density function that displays curves for which the probability density function is constant.
A term used for the quantity ( / )( ) 1 1 2 n xi i n ? = that is subtracted from xi i n 2 ? =1 to give the corrected sum of squares deined as (/ ) ( ) 1 1 2 n xx i x i n ? = i ? . The correction factor can also be written as nx 2 .
In the most general usage, a measure of the interdependence among data. The concept may include more than two variables. The term is most commonly used in a narrow sense to express the relationship between quantitative variables or ranks.
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.
In hypothesis testing, this is the portion of the sample space of a test statistic that will lead to rejection of the null hypothesis.
Cumulative distribution function
For a random variable X, the function of X deined as PX x ( ) ? that is used to specify the probability distribution.
Defect concentration diagram
A quality tool that graphically shows the location of defects on a part or in a process.
Another name for a probability density function
Error mean square
The error sum of squares divided by its number of degrees of freedom.
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.
Fixed factor (or fixed effect).
In analysis of variance, a factor or effect is considered ixed if all the levels of interest for that factor are included in the experiment. Conclusions are then valid about this set of levels only, although when the factor is quantitative, it is customary to it a model to the data for interpolating between these levels.
Gamma random variable
A random variable that generalizes an Erlang random variable to noninteger values of the parameter r