Top 10 Questions for Time Study Statistician Interview

1. What are the key steps involved in conducting a time study?

• Identify the task or process to be studied.
• Break down the task into individual elements.
• Observe and record the time taken to complete each element.
• Analyze the data to determine the average time, standard deviation, and other statistical measures.
• Develop a standard time for the task or process.

2. Describe the different types of time study observations.

Snapback observation:

• The observer records the time when a specific event occurs.
• Used to measure the duration of short-cycle tasks.

Continuous observation:

• The observer continuously records the time spent on each element of a task.
• Used to measure the duration of long-cycle tasks.

Retrospective observation:

• The observer interviews the operator after the task has been completed to obtain the time data.
• Used when direct observation is not possible.

3. What are the factors that can affect the accuracy of a time study?

• The skill and experience of the observer.
• The cooperation of the operator being observed.
• The length of the study.
• The number of observations taken.
• The variability of the task.

4. How do you determine the sample size for a time study?

• Consider the desired level of accuracy.
• Determine the standard deviation of the task time.
• Use a statistical formula to calculate the sample size.

5. What are the different methods for analyzing time study data?

• Graphical methods (e.g., histograms, frequency distributions).
• Statistical methods (e.g., mean, standard deviation, confidence intervals).
• Regression analysis.

6. How do you handle outliers in a time study data set?

• Identify outliers using statistical techniques (e.g., z-score, Grubbs’ test).
• Investigate the reasons for the outliers.
• Remove outliers if they are due to errors or unusual circumstances.

7. What are the ethical considerations in conducting time studies?

• Obtain informed consent from the operators being observed.
• Maintain confidentiality of the data collected.
• Avoid bias or discrimination in the study process.

8. What are the advantages of using time study to improve work efficiency?

• Accurate assessment of task times.
• Identification of inefficiencies and waste.
• Development of optimal work methods.
• Improved productivity and reduced costs.

9. How do you stay up-to-date on the latest developments in time study methods?

• Attend industry conferences and workshops.
• Read professional journals and publications.
• Participate in online forums and discussion groups.

10. Describe a time study project that you have successfully completed.

• Identify the specific project.
• Explain the goals and objectives of the project.
• Describe the methods and techniques used.
• Discuss the results and benefits achieved.

Time Study Statisticians are responsible for developing and implementing methods for collecting and analyzing time study data. They work with other members of the engineering team to establish standards for productivity and efficiency, and they provide statistical support for quality control and improvement initiatives.

Key job responsibilities of a Time Study Statistician include:

1. Develop and implement time study methods

Time Study Statisticians develop and implement methods for collecting and analyzing time study data. This includes determining the appropriate sample size, selecting the appropriate data collection method, and developing the appropriate data analysis procedures.

2. Establish standards for productivity and efficiency

Time Study Statisticians work with other members of the engineering team to establish standards for productivity and efficiency. This includes developing standard times for tasks, establishing production quotas, and setting performance targets.

3. Provide statistical support for quality control and improvement initiatives

Time Study Statisticians provide statistical support for quality control and improvement initiatives. This includes developing and implementing statistical methods for monitoring and improving quality, and providing statistical analysis for problem-solving and decision-making.

4. Train and supervise other staff

Time Study Statisticians may also be responsible for training and supervising other staff, such as time study analysts and data entry personnel.

Preparing for an interview for a Time Study Statistician position can be a daunting task, but there are a few things you can do to increase your chances of success.

1. Research the company and the position

It is important to research the company and the position you are applying for before the interview. This will help you understand the company’s culture, goals, and needs, and it will also help you tailor your answers to the specific requirements of the position.

2. Practice your answers to common interview questions

There are a number of common interview questions that you are likely to be asked, such as “Why are you interested in this position?” and “What are your strengths and weaknesses?” It is a good idea to practice your answers to these questions ahead of time so that you can deliver them confidently and concisely.

3. Be prepared to discuss your experience and skills

The interviewer will want to know about your experience and skills, so be prepared to discuss your work history and your qualifications. Be sure to highlight your experience in time study, statistics, and quality control, and provide specific examples of your accomplishments.

4. Be prepared to ask questions

Asking questions at the end of the interview shows that you are interested in the position and that you have done your research. It is also a good opportunity to get more information about the company and the position.

Example Outline

Tell me about your experience in time study. * I have over 5 years of experience in time study, and I have worked in a variety of industries, including manufacturing, healthcare, and retail. * I am proficient in a variety of time study methods, including work sampling, stopwatch time study, and predetermined time systems. * I have a strong understanding of statistical analysis, and I am able to use statistical methods to analyze time study data and develop standards for productivity and efficiency. What are your strengths and weaknesses? * Strengths: I am a highly motivated and results-oriented individual with a strong work ethic. I am also a team player and I am able to work independently. * Weaknesses: I can be a bit of a perfectionist, and I sometimes have difficulty delegating tasks. Why are you interested in this position? * I am interested in this position because it is a challenging and rewarding opportunity. I am confident that I have the skills and experience necessary to be successful in this role. * I am also interested in the company’s commitment to quality and continuous improvement. I am confident that I can make a significant contribution to the company’s success.