Elementary Statistical MethodsH. Holt, 1943 - Всего страниц: 368 |
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Стр. 22
... trait than B , A's score on that trait will be larger than B's . A's score does not necessarily tell either the position A holds in his group , or the amount of the trait he possesses , but it does increase as amount of the trait ...
... trait than B , A's score on that trait will be larger than B's . A's score does not necessarily tell either the position A holds in his group , or the amount of the trait he possesses , but it does increase as amount of the trait ...
Стр. 182
... trait , costs , income and the like , and some other traits , yield units which can be di- rectly compared . Other traits such as mental age , measures of capacity , the underlying ability " measured " by a paper and pencil test , etc ...
... trait , costs , income and the like , and some other traits , yield units which can be di- rectly compared . Other traits such as mental age , measures of capacity , the underlying ability " measured " by a paper and pencil test , etc ...
Стр. 293
... trait or traits , one member of each pair being placed in group A and the other in group B. Groups A and B may be differentiated as to the possession of some qualitative trait , such as sex , race , etc .; or they may be differentiated ...
... trait or traits , one member of each pair being placed in group A and the other in group B. Groups A and B may be differentiated as to the possession of some qualitative trait , such as sex , race , etc .; or they may be differentiated ...
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CHAPTER | 1 |
THE NATURE OF MEASUREMENT | 11 |
888 | 19 |
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Часто встречающиеся слова и выражения
abscissa algebraic Appendix approximately arbitrary origin area lies area units arithmetic arithmetic mean average called Chapter chart class interval correlation coefficient corresponding cumulative frequency cumulative percentage data of Table entries equal equation error estimate Figure formula frequency curve frequency distribution frequency polygon Galton given height histogram horizontal illustrated increase indicate individual intelligence quotient interval units Karl Pearson kurtosis language score large number mathematical mean and standard median mesokurtic midpoint mode multiplied negative normal curve normal distribution number of heads obtained ordinate percentile rank person population quartile random samples range Reading Speed regression lines relationship represented result scale of scores score units significant digits square standard deviation standard score statistical method step interval student subtracted Suppose symbol T-scores Teachers tion trait variable variance variation vertical width of interval X₁ zero ΣΥ ΣΧ