A company of really good jobs conducts a survey to determine the attitudes of college seniors about entering the workforce. Which of these sampling techniques would give them the most representative samples?
Which sampling techniques?
The sampling techniques for college seniors entering the workforce for really good jobs.
What are the sampling techniques given with this question? "Which of these sampling techniques?"
To determine the most representative samples in a survey to determine the attitudes of college seniors about entering the workforce, the company should consider using random sampling or stratified random sampling techniques.
1. Random Sampling: With random sampling, each member of the population has an equal chance of being selected for the survey. This ensures a fair and unbiased representation of the population. The company can use a random number generator or a random selection method to choose participants from a complete list of college seniors.
2. Stratified Random Sampling: In cases where the population of college seniors is diverse, stratified random sampling is a suitable technique. This method involves dividing the population into relevant groups or strata based on characteristics such as gender, major, or ethnicity. The company can then randomly sample from each stratum in proportion to its representation in the population. This ensures that each subgroup is adequately represented in the survey results.
Both random sampling and stratified random sampling provide the best chances of obtaining representative samples for the survey. The company must ensure that the sampling process is conducted in a way that minimizes any biases and ensures a fair representation of the entire population of college seniors.