- Chapter CHAPTER 12 : ANNUITIES
- Chapter CHAPTER 13 : CONSUMER AND BUSINESS CREDIT
- Chapter CHAPTER 14 : MORTGAGES
- Chapter CHAPTER 15 : FINANCIAL STATEMENTS AND RATIOS
- Chapter CHAPTER 17 : DEPRECIATION
- Chapter CHAPTER 3 : DECIMALS
- Chapter CHAPTER 7 : INVOICES, TRADE DISCOUNTS, AND CASH DISCOUNTS
- Chapter 1: WHOLE NUMBERS
- Chapter 10: SIMPLE INTEREST AND PROMISSORY NOTES
- Chapter 11: COMPOUND INTEREST AND PRESENT VALUE
- Chapter 16: INVENTORY
- Chapter 18: TAXES
- Chapter 19: INSURANCE
- Chapter 2: FRACTIONS
- Chapter 20: INVESTMENTS
- Chapter 21: BUSINESS STATISTICS ANDDATA PRESENTATION
- Chapter 4: CHECKING ACCOUNTS
- Chapter 5: USING EQUATIONS TO SOLVE BUSINESS PROBLEMS
- Chapter 6: PERCENTS AND THEIR APPLICATIONS IN BUSINESS
- Chapter 8: MARKUP AND MARKDOWN
- Chapter 9: PAYROLL
- Chapter SECTION I: THE DECIMAL NUMBER SYSTEM: WHOLE NUMBERS
- Chapter SECTION II: ADDITION AND SUBTRACTION OF WHOLE NUMBERS
- Chapter SECTION III: MULTIPLICATION AND DIVISION OF WHOLE NUMBERS
- Chapter SECTION IV: CASH DISCOUNTS AND TERMS OF SALE
Contemporary Mathematics 6th Edition - Solutions by Chapter
Full solutions for Contemporary Mathematics | 6th Edition
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
Additivity property of x 2
If two independent random variables X1 and X2 are distributed as chi-square with v1 and v2 degrees of freedom, respectively, Y = + X X 1 2 is a chi-square random variable with u = + v v 1 2 degrees of freedom. This generalizes to any number of independent chi-square random variables.
All possible (subsets) regressions
A method of variable selection in regression that examines all possible subsets of the candidate regressor variables. Eficient computer algorithms have been developed for implementing all possible regressions
Analysis of variance (ANOVA)
A method of decomposing the total variability in a set of observations, as measured by the sum of the squares of these observations from their average, into component sums of squares that are associated with speciic deined sources of variation
The portion of the variability in a set of observations that can be traced to speciic causes, such as operators, materials, or equipment. Also called a special cause.
An equation for a conditional probability such as PA B ( | ) in terms of the reverse conditional probability PB A ( | ).
Binomial random variable
A discrete random variable that equals the number of successes in a ixed number of Bernoulli trials.
An attribute control chart that plots the total number of defects per unit in a subgroup. Similar to a defects-per-unit or U chart.
Central limit theorem
The simplest form of the central limit theorem states that the sum of n independently distributed random variables will tend to be normally distributed as n becomes large. It is a necessary and suficient condition that none of the variances of the individual random variables are large in comparison to their sum. There are more general forms of the central theorem that allow ininite variances and correlated random variables, and there is a multivariate version of the theorem.
Components of variance
The individual components of the total variance that are attributable to speciic sources. This usually refers to the individual variance components arising from a random or mixed model analysis of variance.
Conditional probability density function
The probability density function of the conditional probability distribution of a continuous random variable.
A probability distribution for a continuous random variable.
An experiment in which the tests are planned in advance and the plans usually incorporate statistical models. See Experiment
The amount of variability exhibited by data
The distribution of the random variable deined as the ratio of two independent chi-square random variables, each divided by its number of degrees of freedom.
Fisher’s least signiicant difference (LSD) method
A series of pair-wise hypothesis tests of treatment means in an experiment to determine which means differ.
Fraction defective control chart
See P chart
A function that is used to determine properties of the probability distribution of a random variable. See Moment-generating function
Geometric random variable
A discrete random variable that is the number of Bernoulli trials until a success occurs.
Goodness of fit
In general, the agreement of a set of observed values and a set of theoretical values that depend on some hypothesis. The term is often used in itting a theoretical distribution to a set of observations.