## Schaum's Outline of StatisticsThis Schaum's Study Guide is the perfect tool for getting a handle on statistics. Fully stocked with solved problemsÑ508 of themÑit shows you how to work problems that may not have been fully explained in class. Plus you get 694 additional problems to use for practice, with answers at the back of the book. Ideal for independent study, brushup before exams, or preparation for professional tests, this Schaum's guide is clear, complete, and well-organized. It even prepares you for computer solutions of statistical problems, fully explaining the use of Minitab, the most popular statistical software. It's the perfect supplement for any course in statistics, and a super helper for the math-challenged. |

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### Contents

Curve Fitting and the Method of Least Squares | 281 |

Correlation Theory | 311 |

Multiple and Partial Correlation | 345 |

Analysis of Variance | 362 |

Nonparametric tests | 402 |

Analysis of Time Series | 434 |

Statistical Process Control and Process Capability | 470 |

Answers to Supplementary Problems | 495 |

Statistical Estimation Theory | 201 |

Statistical Decision Theory | 216 |

Small Sampling Theory | 242 |

The ChiSquare Test | 261 |

Ordinates Y of the Standard Normal Curve at z | 521 |

FourPlace Common Logarithms | 527 |

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### Common terms and phrases

0.05 significance level analysis of variance antilog approximately arithmetic mean binomial distribution called Chapter class boundaries class interval class marks coin column computed confidence interval confidence limits control chart control limits correlation coefficient corresponding data in Table data of Problem decision rule defective bolts degrees of freedom denoted determine equal estimate example Find the probability formula frequency distribution grades graph heights kurtosis least-squares line level of significance machines marbles mean lifetime median method Minitab output normal curve normal distribution null hypothesis number of heads number of students obtained ogive one-tailed test p-value percentage percentile points Pr{A proportion random regression equation regression line reject H0 reject the hypothesis respectively results of Problem sampling distribution score seasonal index Sheppard's correction shown in Fig shown in Table shows significant difference significant figures skewness square standard deviation standard units statistic test the hypothesis tosses trend values variable

### Popular passages

Page 523 - Statistical Tables for Biological, Agricultural, and Medical Research published by Longman Group Ltd.

Page 131 - The number of permutations of n objects taken r at a time is n\ ,,Pr = n(n - l)(n- 2) • - • (n - r + 1) In particular, nPt = n, nPn = n'..

Page 347 - RÌ2Ì, lies between 0 and 1. The closer it is to 1, the better is the linear relationship between the variables.

Page 89 - The degree to which numerical data tend to spread about an average value is called the variation or dispersion of the data.

Page 7 - For a number greater than 1 , the characteristic is positive and is one less than the number of digits before the decimal point.

Page 89 - Range The range of a set of numbers is the difference between the largest and the smallest numbers.

Page 6 - For a number less than 1, the characteristic is negative and is one more than the number of zeros immediately following the decimal point. The...

Page 143 - From 7 Englishmen and 4 Americans a committee of 6 is to be formed: in how many ways can this be done, (1) when the committee contains exactly 2 Americans, (2) at least 2 Americans...

Page 4 - ... x is called the independent variable, and y is called the dependent variable. The symbol /(*), which is read "/of x," is often used instead of y to represent the range value of the function.

Page 59 - An average is a value that is typical, or representative, of a set of data. Since such typical values tend to lie centrally within a set of data arranged according to magnitude, averages are also called measures of central tendency.