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Date: 26-2-2021
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Date: 2-5-2021
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Date: 17-4-2021
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A check which can be used to verify correct computations in a table of grouped classes. For example, consider the following table with specified class limits and frequencies . The class marks are then computed as well as the rescaled frequencies , which are given by
(1) |
where the class mark is taken as and the class interval is . The remaining quantities are then computed as follows.
class limits | ||||||
30-39 | 34.5 | 2 | 32 | 18 | ||
40-49 | 44.5 | 3 | 27 | 12 | ||
50-59 | 54.5 | 11 | 44 | 11 | ||
60-69 | 64.5 | 20 | 20 | 0 | ||
70-79 | 74.5 | 32 | 0 | 0 | 0 | 32 |
80-89 | 84.5 | 25 | 1 | 25 | 25 | 100 |
90-99 | 94.5 | 7 | 2 | 14 | 28 | 63 |
total | 100 | 176 | 236 |
In order to compute the variance, note that
(2) |
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(3) |
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(4) |
so the variance of the original data is
(5) |
Charlier's check makes use of the additional column added to the right side of the table. By noting that the identity
(6) |
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(7) |
connects columns five through seven, it can be checked that the computations have been done correctly. In the example above,
(8) |
so the computations pass Charlier's check.
REFERENCES:
Kenney, J. F. and Keeping, E. S. "Charlier Check." §6.8 in Mathematics of Statistics, Pt. 1, 3rd ed. Princeton, NJ: Van Nostrand, pp. 47-48, 81, 94-95, and 104, 1962.
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مخاطر خفية لمكون شائع في مشروبات الطاقة والمكملات الغذائية
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"آبل" تشغّل نظامها الجديد للذكاء الاصطناعي على أجهزتها
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المجمع العلميّ يُواصل عقد جلسات تعليميّة في فنون الإقراء لطلبة العلوم الدينيّة في النجف الأشرف
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