Method Evaluation/Comparison

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