Method Evaluation/Comparison

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Across
  1. 2. Range where your results match the true value of what you are testing
  2. 4. This part of the regression line estimates proportional error
  3. 5. Type of error that is the contributing factor to accuracy
  4. 9. Repeatable and reproducible results
  5. 12. Represents how well your regression line represents your data
  6. 13. Type of error that sets a limit for the tolerable amount of inaccuracy and imprecision
  7. 14. Type of error whose direction and magnitude cannot be predicted
Down
  1. 1. Type of error whose magnitude is a percentage of the concentration of the analyte
  2. 3. Correctly reflects the 'true' value
  3. 6. Test to determine whether there is a statistically significant difference between the results of the two methods
  4. 7. Type of test where you test the same samples by each method
  5. 8. Type of test where you test different samples by each method
  6. 10. Type of error that is always in the same direction and the same size
  7. 11. The F Test compares this between two methods
  8. 15. This hypothesis claims that there is no significant difference in the amount of random error between two methods