Suppose, I am conducting a survey to understand the satisfaction level of customers using an online shopping platform. The population size is around 10,000 users. However, due to budget constraints and time limitations, I can only collect data from a sample of customers.
In computing the appropriate sample size, I may face the following problems:
Determining the level of precision and confidence required.
I need to decide how precise my results should be and the level of confidence I need in my findings. If I choose a high level of precision and confidence, then my sample size will be larger, which may lead to resource constraints.
Difficulty in estimating the selection probability
I need to consider the probability of selecting a user for the sample, which is challenging to estimate. If I overestimate or underestimate the selection probability, it may lead to an incorrect sample size calculation.
Time and budget constraints
Suppose I have limited time and budget to conduct the survey, and I need to collect data quickly. In this case, I may need to choose a smaller sample size, which may not be representative of the entire population.
Sampling bias
I need to ensure that my sample is representative of the population and free from sampling bias. If my sample is biased, then my findings may not be valid or generalize to the population.
Overall, determining an appropriate sample size involves a trade-off between statistical criteria, budget, and practical constraints.
Answers & Comments
Suppose, I am conducting a survey to understand the satisfaction level of customers using an online shopping platform. The population size is around 10,000 users. However, due to budget constraints and time limitations, I can only collect data from a sample of customers.
In computing the appropriate sample size, I may face the following problems:
Determining the level of precision and confidence required.
I need to decide how precise my results should be and the level of confidence I need in my findings. If I choose a high level of precision and confidence, then my sample size will be larger, which may lead to resource constraints.
Difficulty in estimating the selection probability
I need to consider the probability of selecting a user for the sample, which is challenging to estimate. If I overestimate or underestimate the selection probability, it may lead to an incorrect sample size calculation.
Time and budget constraints
Suppose I have limited time and budget to conduct the survey, and I need to collect data quickly. In this case, I may need to choose a smaller sample size, which may not be representative of the entire population.
Sampling bias
I need to ensure that my sample is representative of the population and free from sampling bias. If my sample is biased, then my findings may not be valid or generalize to the population.
Overall, determining an appropriate sample size involves a trade-off between statistical criteria, budget, and practical constraints.