To determine what people like to do in their leisure time, the customers of a music store are surveyed. Of these, 85% said that they like to listen to music, so the store manager concludes that most people like to listen to music in their leisure time. Does the manager make a valid conclusin? Explain your answer.
No.
People probably wouldn't be in a music store if they didn't like music.
To evaluate whether the music store manager's conclusion is valid, we need to analyze the survey results more comprehensively.
The manager's conclusion is based on the fact that 85% of the surveyed customers claimed to enjoy listening to music. However, this conclusion may not be entirely accurate for a few reasons:
1. Sample Size: We should consider the total number of customers surveyed. If the total sample size is small, it may not represent the entire population accurately. For instance, if only 20 customers were surveyed and 17 of them claimed to like listening to music, it would be unwise to generalize the preferences of the entire population based on such a small sample.
2. Demographic Considerations: The music store manager should also take note of the demographic profiles of the customers surveyed. Different age groups, cultural backgrounds, or interests can impact people's leisure activities. For example, a survey conducted predominantly among young people may yield a higher percentage of music enthusiasts compared to a survey conducted among elderly individuals.
3. Limited Options: The survey question appears to provide limited response options (i.e., liking or not liking music). People might engage in various activities during their leisure time, such as reading, exercising, playing sports, or watching movies and TV shows. The survey's design might neglect these other activities and lead to an incomplete understanding of people's preferences.
To make a more accurate conclusion about what people like to do in their leisure time, the music store manager should consider conducting a more extensive and diverse survey. This would include a larger sample size with a wider demographic range, as well as a more comprehensive set of response options to capture a broader range of leisure activities.