Calculating the Percentage of Defective Bulbs

Oct 13, 2025 by wbrum.org 101 views

Introduction

In the field of quality control, technicians play a crucial role in ensuring that products meet the required standards. One such technician is tasked with testing light bulbs to determine the number of defective bulbs. The technician records the results in a table, which is presented below. In this article, we will analyze the table and provide insights into the number of defective bulbs.

The Table

Result	Number of Bulbs
Passed	120
Failed	30
Total	150

Understanding the Data

The table presents the results of the light bulb test. The technician has recorded the number of bulbs that passed and failed the test. The total number of bulbs tested is also provided. To begin our analysis, let's examine the data in more detail.

Calculating the Percentage of Defective Bulbs

To determine the percentage of defective bulbs, we need to calculate the ratio of failed bulbs to the total number of bulbs tested. We can do this by dividing the number of failed bulbs (30) by the total number of bulbs tested (150).

# Calculate the percentage of defective bulbs
defective_bulbs = 30
total_bulbs = 150
percentage_defective = (defective_bulbs / total_bulbs) * 100
print(f"The percentage of defective bulbs is {percentage_defective:.2f}%")

Running this code, we get:

"The percentage of defective bulbs is 20.00%"

Interpretation of Results

The results indicate that 20% of the light bulbs tested were defective. This is a significant finding, as it suggests that a substantial number of bulbs may not meet the required standards. The technician can use this information to inform future testing and quality control measures.

Conclusion

In conclusion, the technician's task of analyzing the light bulb test results has provided valuable insights into the number of defective bulbs. By calculating the percentage of defective bulbs, we have gained a better understanding of the quality of the light bulbs. This information can be used to improve the testing process and ensure that products meet the required standards.

Further Analysis

While the results provide a general overview of the number of defective bulbs, there may be other factors to consider. For example, the technician may want to investigate the reasons behind the defective bulbs. Are they due to manufacturing defects, or are they the result of wear and tear? By exploring these questions, the technician can gain a deeper understanding of the issue and develop targeted solutions.

Recommendations

Based on the results, the technician may want to consider the following recommendations:

Increase testing frequency: To ensure that products meet the required standards, the technician may want to increase the frequency of testing.
Investigate manufacturing defects: The technician may want to investigate the reasons behind the defective bulbs, including any manufacturing defects.
Develop targeted solutions: Based on the results, the technician can develop targeted solutions to address the issue of defective bulbs.

Limitations

While the results provide valuable insights into the number of defective bulbs, there are some limitations to consider. For example:

Sample size: The sample size of 150 bulbs may not be representative of the larger population.
Testing methodology: The testing methodology used may not be comprehensive, and there may be other factors to consider.

Future Research Directions

Based on the results, there are several future research directions to consider:

Investigate the impact of manufacturing defects: The technician may want to investigate the impact of manufacturing defects on the quality of light bulbs.
Develop a more comprehensive testing methodology: The technician may want to develop a more comprehensive testing methodology to ensure that products meet the required standards.
Explore the use of statistical analysis: The technician may want to explore the use of statistical analysis to gain a deeper understanding of the issue and develop targeted solutions.

Conclusion

Introduction

In our previous article, we analyzed the results of a light bulb test to determine the number of defective bulbs. The technician recorded the results in a table, which provided valuable insights into the quality of the light bulbs. In this article, we will answer some frequently asked questions (FAQs) related to the analysis.

Q&A

Q: What is the percentage of defective bulbs?

A: The percentage of defective bulbs is 20.00%.

Q: How was the percentage of defective bulbs calculated?

A: The percentage of defective bulbs was calculated by dividing the number of failed bulbs (30) by the total number of bulbs tested (150) and multiplying by 100.

Q: What is the significance of the percentage of defective bulbs?

A: The percentage of defective bulbs is significant because it indicates that a substantial number of bulbs may not meet the required standards. This information can be used to inform future testing and quality control measures.

Q: What are some potential reasons for the defective bulbs?

A: Some potential reasons for the defective bulbs include manufacturing defects, wear and tear, or other factors that may affect the quality of the light bulbs.

Q: How can the technician improve the testing process?

A: The technician can improve the testing process by increasing the frequency of testing, investigating manufacturing defects, and developing targeted solutions to address the issue of defective bulbs.

Q: What are some limitations of the analysis?

A: Some limitations of the analysis include the sample size of 150 bulbs, which may not be representative of the larger population, and the testing methodology used, which may not be comprehensive.

Q: What are some future research directions?

A: Some future research directions include investigating the impact of manufacturing defects on the quality of light bulbs, developing a more comprehensive testing methodology, and exploring the use of statistical analysis to gain a deeper understanding of the issue and develop targeted solutions.

Q: How can the technician use the results to inform future testing and quality control measures?

A: The technician can use the results to inform future testing and quality control measures by increasing the frequency of testing, investigating manufacturing defects, and developing targeted solutions to address the issue of defective bulbs.

Q: What are some potential consequences of not addressing the issue of defective bulbs?

A: Some potential consequences of not addressing the issue of defective bulbs include decreased customer satisfaction, increased costs due to returns and replacements, and damage to the company's reputation.

Q: How can the technician communicate the results to stakeholders?

A: The technician can communicate the results to stakeholders by providing a clear and concise summary of the findings, highlighting the significance of the results, and outlining the potential consequences of not addressing the issue of defective bulbs.

Conclusion

In conclusion, the technician's task of analyzing the light bulb test results has provided valuable insights into the number of defective bulbs. By answering some frequently asked questions, we have gained a deeper understanding of the issue and can inform future testing and quality control measures.