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Page 7

We believe from our experience of things that while short trials are easily upset

by 'chance' a long trial is protected by the mysterious laws of this very same '

chance'. We may express the empirical probability of an event as: , , . , .

We believe from our experience of things that while short trials are easily upset

by 'chance' a long trial is protected by the mysterious laws of this very same '

chance'. We may express the empirical probability of an event as: , , . , .

**Total****number**...Page 358

noticing that the total frequency of occurrence, i.e. the

combinations of 3 ranks chosen from 6, is equal to 20. Of these 20 combinations,

one gives a rank total 6, one a rank total 7, two a rank total 8, three a rank total 9,

and so on.

noticing that the total frequency of occurrence, i.e. the

**total number**ofcombinations of 3 ranks chosen from 6, is equal to 20. Of these 20 combinations,

one gives a rank total 6, one a rank total 7, two a rank total 8, three a rank total 9,

and so on.

Page 378

Correction Factor from the grand

Sum of Squares = (24 + 59 + 265 + 88) - 320 = 436-320=ri6 This agrees with

what we obtained when we did th^ calculation by the first method. In order to get

the ...

Correction Factor from the grand

**total of**the square items in this table, thus: TotalSum of Squares = (24 + 59 + 265 + 88) - 320 = 436-320=ri6 This agrees with

what we obtained when we did th^ calculation by the first method. In order to get

the ...

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### Contents

The Normal Distribution | 108 |

What Happens when we take Samples | 120 |

Control Charts | 141 |

Copyright | |

12 other sections not shown

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### Common terms and phrases

Analysis of Variance arithmetic arithmetic mean average value batch Binomial Binomial distribution block calculate chance Chapter column computation consider control chart control limits Correction Factor correlation coefficient degrees of freedom denote difference distribution effect entry equal equation example experimental following table formula frequency give given grand average graph height inoculated inspection Intelligence Quotient judges loss angles mean value measure median method Normal Curve Null Hypothesis number of defectives number of degrees number of items pairs Percent Defective percentage plots Poisson Poisson distribution population possible predicted prob probability problem proportion quantity R. A. Fisher range rank total reader regression replication Residual Risk sample mean sampling scheme significant small samples standard deviation standard error statistical statistician Subtract Sum of Squares Suppose technique things tion total number Total Sum treatment trend variable variance estimate variation yields