Knowledge test 20

1. Which tool / technique will help us to represent large amount of information comprehensively and in a compact manner?

  1. Graph Flow Diagram
  2. Collecting Data
  3. Control Chart
  4. Cause and Effect Diagram

2. Out of seven elementary tools, except Cause and Effect Diagram, there is one more tool the use of which was popularized by Dr. K. Ishikawa What is that tool?

  1. Scatter Diagram Flow Diagram
  2. Collecting Data
  3. Control Chart
  4. Cause and Effect Diagram

3. Which toll /technique provide a sound basis for decision making and corrective action?

  1. Data Collection
  2. Flow Diagram
  3. Collecting Data
  4. Control Chart

4. Out of the basic seven tools, which is to be used to understand the magnitude of the problem?

  1. Data Collection Flow Diagram
  2. Collecting Data
  3. Control Chart
  4. Cause and Effect Diagram

5. Which tool / technique will help us to have clarify of the process without visiting the actual spot?

  1. Flow Diagram Flow Diagram
  2. Collecting Data
  3. Control Chart
  4. Cause and Effect Diagram

6. Which tool / technique help us to dissect a process for understanding and analyzing?

  1. Flow Diagram Flow Diagram
  2. Collecting Data
  3. Control Chart
  4. Cause and Effect Diagram

7. Which elementary statistical tool may be used in selection of problem?

  1. Pareto Diagram
  2. Flow Diagram
  3. Control Chart
  4. Cause and Effect Diagram

8. What is sign table used for?

  1. Calculation of co-efficient of co-relation.
  2. Knowing our future
  3. Making Sign
  4. Making activity plan

9. After using two elementary steps in problem solving tools, we will be able to present them through a Pareto diagram. What are those tools used at that stage?

  1. Data Collection & Stratification
  2. Data Collection & Scatter Diagram
  3. Data Collection & Flow Diagram
  4. Data Collection & Brain Storming

10. Collection of the required information in figures for Statistical analysis of a problem is known as

  1. Data Collection
  2. Generating Data
  3. Stratification
  4. Data Analysis

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