scholarly journals A Unified Weight Formula for Calculating the Sample Variance from Weighted Successive Differences

2014 ◽  
Vol 2014 ◽  
pp. 1-4 ◽  
Author(s):  
Kuo-Hung Lo ◽  
Tien-Lung Sun ◽  
Juei-Chao Chen

The basic formula to calculate sample variance is based on the sum of squared differences from mean. From computational perspective, mean calculation is nondesired as it can introduce computing errors. Previous researches have proposed to use weighted formula of the successive differences to calculate sample variance to avoid mean calculation. But their weighted formula is not in a unified format in the sense that it has to be represented as two formulas. This paper proposes a unified weight formula for sample variance calculation from weighted successive differences. A proof is provided to show that sample variance calculated using the proposed unified weighted formula is mathematically equivalent to the basic definition.

1980 ◽  
Vol 43 (1) ◽  
pp. 21-22 ◽  
Author(s):  
M. E. ANDERSON ◽  
J. L. SEBAUGH ◽  
R. T. MARSHALL ◽  
W. C. STRINGER

Viable counts of bacteria are often high in some areas and low in adjacent areas of the same surface of fresh meat. The present study indicated that rubbing meat surfaces together before sampling reduces variation among bacterial plate counts of pieces of beef plate meat. Counts before rubbing ranged from 2 to 6,187/cm2, whereas counts after rubbing ranged from 15 to 2,043/cm2. The reduced sample variance allowed for fewer samples to be taken in studies of cleaning and sanitizing of fresh beef.


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