Lab Practice
Quiz by Wayne Aguiar
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50 questions
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- Q1true positives / (true positives + false negatives)Sensitivity=30s
- Q2true negatives / (true negatives + false positives)Specificity =30s
- Q3Can the test find the abnormality?Sensitivity is the ability to detect a disease if it is really present.30s
- Q4Can the test results exclude those persons without the disease?Specificity is the ability to exclude persons who do not have the disease.30s
- Q5have high sensitivity, to detect as many people as possible with the disease.the best screening test must30s
- Q6with high specificity to ensure that a positive test detected with screening is a true positive.a confirmatory test30s
- Q7True positives / True positives + False positivesPositive Predictive Value =30s
- Q8How likely is a positive test to indicate that the person has the disease?The positive predictive value tells you how often a positive test represents a true positive.30s
- Q9True negatives / True negatives + False negativesNegative Predictive Value =30s
- Q10How likely is a negative test to indicate that the disease is not present in the person?The negative predictive value tells you how often a negative test represents a true negative.30s
- Q11The laboratory sets "normal" ranges for laboratory tests based upon population studies. The farther out of range the test result is, the more likely that the result reflects real diseaseReference Intervals and their use in interpreting laboratory values30s
- Q122 standard deviations of the mean, which includes 95% of all results. The standard deviation is just a measure of dispersion."Normal" is usually defined as those test values that fall within30s
- Q132 SD's of the mean. This is sometimes called the "95% confidence limits".For most bell-shaped curves, 68% of the values fall within 1 standard deviation of the mean, 95% within 2 SD's, and 97.7% within 3 SD's. For most laboratory tests, the "normal range" is defined as values falling within30s
- Q145 will fall outside of a normal range.Thus, there is a 1 in 20 chance that an "abnormal" test may really be normal. For every 100 tests ordered, the statistical probability is that30s
- Q15standard deviation (SD) divided by the mean and multiplied by 100The coefficient of variation (CV) is calculated as the .... CV indicates variability of the test results. This depends upon the test methodology, the instrument being used, and the range of results.30s