Final answer:
The outcome of the survey could be influenced by team size, school location, and survey day weather. The color of the team uniforms would not normally affect the survey result. Correct sampling is crucial for accurate representation of the population in a study.
Step-by-step explanation:
A survey was given to a high school football team to determine their favorite professional sport. The factors that could affect the outcome of the survey are the size of the football team, the location of the high school, and potentially the weather on the day of the survey if it influences the respondents' mood or likelihood of participating. The color of the football team's uniforms is unlikely to have an effect.
While conducting a similar survey to ascertain public opinion, such as predicting the winner of the NFL championship, biases can occur. Viewers of a specific sports program may not represent the entire American football fan population, and the sample may also be self-selected, leading to unrepresentative results.
Sampling Techniques
Different types of sampling can be used in surveys and studies:
- Simple random sampling gives each member of a population an equal chance of being selected.
- Stratified sampling involves dividing the population into subgroups and randomly sampling from each.
- Systematic sampling selects subjects at regular intervals from an ordered list.
- Cluster sampling randomly selects whole groups or clusters from a population.
- Convenience sampling involves choosing subjects that are easy to access.
In practice, the goal is to choose a method that allows the sample to accurately represent the population, ensuring the study's results are valid.