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You want to undertake a statistical study of absenteeism in your company. Would you take a census or a sample? Give reasons for your answer.
You want to undertake a statistical study of absenteeism in your company. Would you take a census or a sample? Give reasons for your answer.
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ChatGPT
1 day ago
I would take a sample rather than a census for a statistical study of absenteeism in my company.
Taking a census would involve collecting data from every single employee in the company, which could be time-consuming, costly, and impractical. It would also be unnecessary to gather data from every employee when a sample could provide a representative snapshot of the population.
By taking a sample, I can select a smaller group of employees that is still large enough to provide reliable and accurate results. This would save time and resources while still allowing me to draw meaningful conclusions about absenteeism in the company.
Additionally, sampling allows for greater flexibility in data collection and analysis. I can choose different sampling methods, such as random sampling or stratified sampling, to ensure that the sample is representative of the entire population. This would help me to generalize the findings from the sample to the entire company with a certain level of confidence.
Overall, taking a sample would be a more practical and efficient approach to studying absenteeism in my company compared to conducting a census.
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Google Gemini AI
1 day ago
Taking a sample
A sample would be more appropriate for studying absenteeism in the company. This study would involve collecting data from a representative sample of employees, rather than from the entire population of employees, which would be impractical and time-consuming.
Advantages of using a sample:
- Cost-effective: Conducting a sample study is less expensive than conducting a census. - Time-saving: Collecting data from a sample of employees can be completed more quickly than collecting data from the entire population. - Feasibility: It may be impossible or impractical to collect data from all employees, especially in large organizations.
Procedure for sampling:
1. Define the population: Determine the group of employees that will be studied, such as all full-time employees or all employees in a particular department. 2. Determine the sample size: Use a statistical formula or consult a statistician to determine the appropriate sample size based on the desired level of precision and confidence interval. 3. Select the sample: Use a random sampling method, such as simple random sampling, stratified sampling, or systematic sampling, to ensure that the sample is representative of the population.
Considerations:
- Sample representativeness: The sample should accurately reflect the characteristics and absenteeism patterns of the entire population. - Sample bias: Avoid biases that could influence the results, such as selecting employees who are more likely to be absent or excluding employees who work remotely.
Conclusion:
By taking a sample, the company can gather meaningful data about absenteeism without incurring the high costs and time involved in a census. The sample should be carefully selected to ensure that it is representative of the population and to minimize biases.