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Questions and Answers
What sampling technique would be most effective for a Micro, Small, and Medium-sized Enterprise (MSME) operating in the food and beverage industry in Muntinlupa?
What sampling technique would be most effective for a Micro, Small, and Medium-sized Enterprise (MSME) operating in the food and beverage industry in Muntinlupa?
- Quota Sampling
- Convenience Sampling
- Stratified Sampling (correct)
- Systematic Sampling
What does Random Sampling involve in terms of population selection?
What does Random Sampling involve in terms of population selection?
- Choosing units from different subgroups with varying characteristics.
- Dividing the population based on relevant characteristics before selecting samples.
- Randomly selecting samples without categorizing them into subgroups or strata. (correct)
- Selecting individuals based on specific characteristics.
Why is Random Sampling effective for the food and beverage industry in Muntinlupa?
Why is Random Sampling effective for the food and beverage industry in Muntinlupa?
- It ensures representation from all types of food and beverage establishments. (correct)
- It reduces the likelihood of bias in selecting samples.
- It guarantees a higher response rate from the sampled establishments.
- It simplifies the selection process for the researchers.
What is the advantage of using Random Sampling in the context of the food and beverage industry?
What is the advantage of using Random Sampling in the context of the food and beverage industry?
Which sampling technique is characterized by selecting individuals or units purely by chance?
Which sampling technique is characterized by selecting individuals or units purely by chance?
In what way does Random Sampling provide simplicity in the selection process?
In what way does Random Sampling provide simplicity in the selection process?
What is the purpose of using Slovin's Formula in determining the sample size?
What is the purpose of using Slovin's Formula in determining the sample size?
Why was a total of ninety-four (94) people selected for the survey?
Why was a total of ninety-four (94) people selected for the survey?
What is the significance of selecting one person from each business for the survey?
What is the significance of selecting one person from each business for the survey?
Why is it important to use a systematic approach like Slovin's Formula for determining the sample size?
Why is it important to use a systematic approach like Slovin's Formula for determining the sample size?
What is the most suitable sample size (n) that should be determined using Slovin's Formula for the 1,481 MSMEs in the food industry in Muntinlupa, with a margin of error (e) of 5%?
What is the most suitable sample size (n) that should be determined using Slovin's Formula for the 1,481 MSMEs in the food industry in Muntinlupa, with a margin of error (e) of 5%?
Why might using a sample size of only ninety-four (94) people, one person from each business, be considered inadequate for the survey of 1,481 MSMEs?
Why might using a sample size of only ninety-four (94) people, one person from each business, be considered inadequate for the survey of 1,481 MSMEs?
Which of the following statements best describes the significance of using Slovin's Formula in determining the sample size for the survey?
Which of the following statements best describes the significance of using Slovin's Formula in determining the sample size for the survey?
What could be a potential drawback of using random sampling as the main sampling technique for the MSMEs in the food industry in Muntinlupa?
What could be a potential drawback of using random sampling as the main sampling technique for the MSMEs in the food industry in Muntinlupa?
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Study Notes
Sampling Techniques for MSMEs in Food and Beverage Industry
- Random sampling is the most effective technique for MSMEs in the food and beverage industry in Muntinlupa, as it involves selecting individuals or units purely by chance from the population.
Characteristics of Random Sampling
- Random sampling provides simplicity in the selection process, as it eliminates bias and ensures that each individual or unit has an equal chance of being selected.
- It involves selecting individuals or units randomly from the population, which is essential for achieving a representative sample.
Slovin's Formula
- Slovin's Formula is used to determine the sample size, which is essential for ensuring that the sample is representative of the population.
- The formula is: n = N / (1 + (N * e^2)), where n is the sample size, N is the population size, and e is the margin of error.
- The purpose of using Slovin's Formula is to determine the sample size required to achieve a desired level of precision, given a specified margin of error.
Sample Size Determination
- For the survey of 1,481 MSMEs in the food industry in Muntinlupa, with a margin of error of 5%, the most suitable sample size (n) that should be determined using Slovin's Formula is larger than 94.
- Selecting only one person from each business (94 people) might be considered inadequate for the survey, as it may not be representative of the entire population.
Advantages of Random Sampling
- The advantage of using random sampling is that it provides a representative sample of the population, which is essential for making generalizations about the entire population.
- Random sampling is effective for the food and beverage industry in Muntinlupa, as it allows for the selection of a representative sample from the population of MSMEs.
Potential Drawbacks of Random Sampling
- A potential drawback of using random sampling as the main sampling technique is that it may not be possible to randomly select individuals or units from the entire population, which can lead to bias and inaccurate results.
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