 15.6.1: In 14, (a) draw a scatter diagram, (b) compare rs, and (c) determin...
 15.6.2: In 14, (a) draw a scatter diagram, (b) compare rs, and (c) determin...
 15.6.3: In 14, (a) draw a scatter diagram, (b) compare rs, and (c) determin...
 15.6.4: In 14, (a) draw a scatter diagram, (b) compare rs, and (c) determin...
 15.6.5: Income versus Education It is common to think that the more educati...
 15.6.6: Crime Rate versus Population Density Is a state with a higher popul...
 15.6.7: Per Capita Personal Income versus Birthrate A sociologist believes ...
 15.6.8: Does Defense Win? Defense wins championships is a common phrase use...
 15.6.9: Top Cities Every year Money magazine publishes its list of top plac...
 15.6.10: College Football Polls A sports reporter wants to determine if the ...
 15.6.11: Compute rs for the following data: X YXY 2 5 5 14 3 8 6 17 4 11 Wha...
 15.6.12: Compute rs for the following data: X YXY 2 23 5 11 3 19 6 7 4 15 Wh...
 15.6.13: The Pearson correlation coefficient requires that the data be quant...
 15.6.14: Provide an intuitive explanation of how the Spearman rank correlati...
Solutions for Chapter 15.6: SPEARMANS RANKCORRELATION TEST
Full solutions for Statistics: Informed Decisions Using Data  4th Edition
ISBN: 9780321757272
Solutions for Chapter 15.6: SPEARMANS RANKCORRELATION TEST
Get Full SolutionsThis expansive textbook survival guide covers the following chapters and their solutions. Statistics: Informed Decisions Using Data was written by and is associated to the ISBN: 9780321757272. This textbook survival guide was created for the textbook: Statistics: Informed Decisions Using Data , edition: 4. Chapter 15.6: SPEARMANS RANKCORRELATION TEST includes 14 full stepbystep solutions. Since 14 problems in chapter 15.6: SPEARMANS RANKCORRELATION TEST have been answered, more than 160219 students have viewed full stepbystep solutions from this chapter.

`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).

Alias
In a fractional factorial experiment when certain factor effects cannot be estimated uniquely, they are said to be aliased.

Average
See Arithmetic mean.

Average run length, or ARL
The average number of samples taken in a process monitoring or inspection scheme until the scheme signals that the process is operating at a level different from the level in which it began.

Causal variable
When y fx = ( ) and y is considered to be caused by x, x is sometimes called a causal variable

Chisquare (or chisquared) 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.

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

Comparative experiment
An experiment in which the treatments (experimental conditions) that are to be studied are included in the experiment. The data from the experiment are used to evaluate the treatments.

Completely randomized design (or experiment)
A type of experimental design in which the treatments or design factors are assigned to the experimental units in a random manner. In designed experiments, a completely randomized design results from running all of the treatment combinations in random order.

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

Conidence interval
If it is possible to write a probability statement of the form PL U ( ) ? ? ? ? = ?1 where L and U are functions of only the sample data and ? is a parameter, then the interval between L and U is called a conidence interval (or a 100 1( )% ? ? conidence interval). The interpretation is that a statement that the parameter ? lies in this interval will be true 100 1( )% ? ? of the times that such a statement is made

Conidence level
Another term for the conidence coeficient.

Convolution
A method to derive the probability density function of the sum of two independent random variables from an integral (or sum) of probability density (or mass) functions.

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.

Deining relation
A subset of effects in a fractional factorial design that deine the aliases in the design.

Discrete distribution
A probability distribution for a discrete random variable

Distribution function
Another name for a cumulative distribution function.

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 modelitting process and not on replication.

False alarm
A signal from a control chart when no assignable causes are present

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.