CQIA Data Collection & Analysis Methods 4 — Questions and Answers
Question 1: Which of the following scenarios represents attribute data rather than variable data?
- Recording the diameter of a machined part to 0.001 inches
- Measuring cycle time in seconds for each transaction
- Classifying invoices as correct or incorrect (Correct answer)
- Weighing packages to the nearest gram
Correct answer: Classifying invoices as correct or incorrect
Attribute data classifies items into categories (pass/fail, correct/incorrect) rather than measuring on a continuous scale.
Question 2: A team notices their process data forms a skewed distribution with a long right tail. Which measure of center BEST represents the typical value?
- Mean, because it uses all data points
- Median, because it is less affected by the tail (Correct answer)
- Mode, because it is the most frequent value
- Range, because it captures the spread
Correct answer: Median, because it is less affected by the tail
In a skewed distribution, extreme values in the tail pull the mean away from the center, making the median a better representative.
Question 3: What is the purpose of a gage R&R study in quality improvement?
- To reduce the number of defects in production
- To evaluate whether the measurement system contributes excessive variation (Correct answer)
- To determine the process capability index
- To set new control chart limits
Correct answer: To evaluate whether the measurement system contributes excessive variation
A gage repeatability and reproducibility study quantifies how much of total variation is attributable to the measurement system itself.
Question 4: On a control chart, what does an upward trend of six or more consecutive increasing points indicate?
- The process is stable and in control
- A potential special cause drifting the process upward (Correct answer)
- Normal cyclical variation in the process
- The control limits need to be recalculated
Correct answer: A potential special cause drifting the process upward
Six or more consecutive points moving in one direction is a trend signal indicating a possible special cause like tool wear.
Question 5: When should a team use a c-chart instead of a u-chart?
- When subgroup sizes vary from sample to sample
- When subgroup sizes are constant and defects per unit are counted (Correct answer)
- When monitoring the fraction of defective items
- When measuring continuous process output
Correct answer: When subgroup sizes are constant and defects per unit are counted
A c-chart is used when the number of defects is counted in constant-size inspection units, unlike the u-chart which adjusts for varying sizes.
Question 6: Which of the following BEST describes the difference between accuracy and precision in measurement?
- Accuracy is consistency; precision is closeness to true value
- Accuracy is closeness to true value; precision is consistency of repeated measures (Correct answer)
- Both terms mean the same thing in quality measurement
- Accuracy refers to sample size; precision refers to scale resolution
Correct answer: Accuracy is closeness to true value; precision is consistency of repeated measures
Accuracy reflects how close measurements are to the true value, while precision reflects how consistently repeated measurements agree with each other.
Question 7: A team collects warranty return data broken down by product line, region, and quarter. Analyzing subsets of this data separately is an example of:
- Benchmarking
- Stratification (Correct answer)
- Normalization
- Triangulation
Correct answer: Stratification
Stratification separates combined data into subgroups by categories such as product line or region to reveal hidden patterns.
Which of the following scenarios represents attribute data rather than variable data?