The tabulation of the number of times a given quality characteristic measurement occurs, within the sample of product being checked, is called a

The tabulation of the number of times a given quality characteristic measurement occurs, within the sample of product being checked, is called a

• A. Histogram
• B. Pareto chart
• C. Scatter plot
• D. Run chart

Answer: (A)

Understanding how often each measurement value occurs across a sample is about showing the distribution of a quality characteristic. When you tabulate those frequencies and put them into intervals, you create a frequency distribution. A histogram then graphically represents that distribution: each interval becomes a bar, and the bar height shows how many observations fall into that interval. This visual makes it easy to see the data’s shape—where it centers, how spread out it is, if it’s skewed, and whether there are outliers. The other charts serve different purposes. A Pareto chart groups defects by category and displays them in order of frequency to highlight the most important issues. A scatter plot shows the relationship between two variables. A run chart plots measurements in time to look for trends or shifts. Since the question focuses on counting how often a measurement occurs, the histogram is the best fit.

Understanding how often each measurement value occurs across a sample is about showing the distribution of a quality characteristic. When you tabulate those frequencies and put them into intervals, you create a frequency distribution. A histogram then graphically represents that distribution: each interval becomes a bar, and the bar height shows how many observations fall into that interval. This visual makes it easy to see the data’s shape—where it centers, how spread out it is, if it’s skewed, and whether there are outliers.

The other charts serve different purposes. A Pareto chart groups defects by category and displays them in order of frequency to highlight the most important issues. A scatter plot shows the relationship between two variables. A run chart plots measurements in time to look for trends or shifts. Since the question focuses on counting how often a measurement occurs, the histogram is the best fit.