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Two freezing point osmometers are compared by Answers to Questions 39–41 running 40 paired patient samples one time on each instrument proven 100 mg silagra impotence 28 years old, and the following results are 39 cheap silagra erectile dysfunction drugs thailand. A The F test determines whether there is a statistically obtained: signiﬁcant diﬀerence in the variance of the two sampling distributions cheap silagra 50 mg free shipping impotence restriction rings. Assuming the samples are Standard collected and stored in the same way and the analysis Instrument Mean Deviation is done by a technologist who is familiar with the Osmometer A 280 mOsm/kg 3 tadapox 80 mg with amex. The F test is calculated by dividing the variance (s )2 If the critical value for F = 2 order kamagra super 160mg line. Precision cannot be evaluated statistically when the two instruments) is accepted order extra super levitra in india. D The bias is defined as the difference between the Chemistry/Evaluate laboratory data to assess the means of the two methods and is calculated using validity/Accuracy of procedures/Statistics/3 the formula: bias = y – ×. The student’s t test is used to determine by running 40 paired patient samples in duplicate if bias is statistically significant. Te following results are is the ratio of bias to the standard error of the obtained: mean difference. B Proportional error (slope or percent error) results Method x (reference 235 mg/dL 3. For example, if both level 1 and Assuming the samples are collected and stored level 2 controls for laboratory A average 5 mg/dL in the same way and the analysis done by a below the cumulative mean reported by all technologist who is familiar with both methods, other laboratories using the same method, then what is the bias of method y? When the magnitude of error increases with increasing sample concentration, it is called: A. Bias Chemistry/Evaluate laboratory data to assess validity/ Accuracy of procedures/Statistics/2 5. D A bias plot compares the bias (candidate method minus reference method) to the result of the 5 reference method. When the majority of points is below the zero line, 0 the candidate method is negatively biased (lower than the reference). A The linear regression analysis is the most useful statistic to compare paired patient results because -15 it estimates the magnitude of specific errors. Two methods that measure the same margin analyte will have a high correlation coefficient, C. Te new method is lower than the reference provided the concentrations are measured over a method by 5 mg/dL wide range, and this statistic should not be used D. Te new method is lower than the reference and to judge the acceptability of the new method. Each sample was assayed by both methods within 30 minutes of collection by a technologist familiar with both methods. Linear regression analysis was performed by the least-squares method, and results are as follows: Linear Correlation Standard Error of Regression Coefficient (r) Estimate (sy/x) ŷ=2. Tere is no disagreement between the methods because the correlation coeﬃcient approaches 1.