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Ch.4 + 5 - Statistics, Quality Assurance and Calibration MethodsWorksheetSee all chapters

# Detection of Gross Errors

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Sections
Mean Evaluation
The Gaussian Distribution
Confidence Intervals
Hypothesis Testing (t-Test)
Analysis of Variance (f-Test)
Detection of Gross Errors

When dealing with data sets it becomes important to eliminate outliers in order to have the most accurate standard deviation.

###### Grubbs Test vs. Q TestÂ

Concept #1: Both tests are useful in detecting a single outlier from a given data set.

Example #1: Wishing to measure the amount of caffeine in a cup of coffee you pour ten cups. From the data provided perform a Q-test to determine if the outlier can be retained or disregarded.

Example #2: White blood cells are the defending cells of the human immune system and fight against infectious diseases. Provided below is the “normal” white blood cell counts for a healthy adult woman. Determine if the current white blood cell count is reasonable by Grubbs test.