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The difference between the two methods was statistically significant (p < 0.005) (chi-squared).
Analytical performance of the proposed spectrofluorimetric methods was statistically validated with respect to linearity, accuracy, precision and specificity.
For both cigarette types the relationship between the two methods was statistically significant (p < 0.05); this was based on a sample size large enough (n = 105) to obtain a precise estimate of the strength of the relationship.
For both cigarette types the relationship between the two methods was statistically significant (p < 0.05)." We have presented a study demonstrating a novel and simple system to quantify in vitro cigarette smoke deposition in real-time.
The correlation between the two methods was statistically significant: p < 0.001 for both the right and left kidneys using Student's t test (paired, two sided) (Figure 5). Figure 5 Correlation between PA and CV methods.
The difference between soil bulk densities in different tillage methods was statistically significant from the beginning of growth season to two month after the first irrigation (sixth measurement); while, this difference was not significant from the sixth measurement to the end of growth season.
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To further verify whether the differences between these methods are statistically significant, we use approximate randomization [35] for statistical significance testing on F-beta.
The concentrations obtained with both methods were statistically compared.
The reliabilities of the three methods are statistically evaluated and compared.
Deer density estimates by the four methods were statistically similar at all effort levels simulated.
The differences between the two methods were statistically significant at baseline (p���= 0.02).
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