3.3 Quality Control

What does a histogram graphically show?

• Process steps

• Quality control errors

• Frequency distributions

• Production costs

When should one use a histogram as a quality control tool?

• When the data are qualitative

• When the data are numerical

• When the data are categorical

• When the data are visual

What aspect of data distribution can be observed by looking at a histogram?

• The size of the data set

• The color of the data points

• The shape of the data's distribution

• The time of data collection

Why is histogram considered efficient in communicating data distribution?

• It predicts future trends

• It quickly shows the distribution of data

• It provides detailed data analysis

• It simplifies data collection

In basic QC tools, what is a Pareto diagram?

• A line graph representing trends over time

• A scatter plot showing correlation between two variables.

• A bar graph that ranks data classifications in descending order from left to right.

• A pie chart displaying proportions of a whole.

What is the primary purpose of a Pareto Diagram?

• To visualize time series data

• To display the frequency of data points

• To summarize qualitative data

• To identify the most significant factors in a dataset

What is the main characteristic of sources categorized as 'VITAL FEW' in data classification for Pareto Diagram construction?

• They are insignificant sources

• They account for most of the problem

• They account for a relatively small part of the entire problem

• They are not considered in the diagram

How are sources categorized as 'USEFUL/TRIVIAL MANY' described in data classification for Pareto Diagram construction?

• Large number of remaining sources account for a relatively small part of the entire problem

• They account for most of the problem

• They are insignificant sources

• They are not considered in the diagram

What is the main purpose of a control chart?

• Detecting and monitoring process variation over time

• Identifying common causes of variation

• Calculating average process time

• Setting production goals

How does a control chart distinguish special cause from common causes of variation?

• By analyzing historical trends

• By calculating the median value

• By comparing data to control limits

• By conducting employee surveys