Collecting data, calculate statistic and create graph

1. What is the general idea for your study? Describe it in a couple sentences.

The study aims to examine the relationship between daily exercise habits and sleep quality among college students. It will examine whether the frequency of exercise ( independent variable) correlates with self-reported sleep quality ( dependent variable).

2. What population will you attempt to study with your sample?

The targeted population for this study would be college students from 18-25 years, but I want to try from 16-30 years old because nowadays we have college students from 16-50 years old.

3. What sampling method will you employ and why?

I will employ convenience sampling, where participants will be recruited from a single university campus. This method is chosen for its accessibility and feasibility within the time frame.

4. Will your sampling methodology potentially lead to any design biases? Explain reasoning.

Convenience sampling may introduce selection bias, as it may not represent the entire population of college students due to its limited scope to one campus. This bias should be considered when interpreting the results.

5. How exactly will you collect data? Include specific websites, procedures, sources, etc.

Data will be collected through an online survey distributed via university email lists and social media platforms frequented by students (e.g., Facebook groups, student forums). The survey will include questions about exercise habits (frequency per week, type of exercise) and sleep quality (subjective rating on a scale, average hours of sleep per night).

6. What is the primary variable you want to study and what are its notable characteristics?

The primary variable to study is "frequency of exercise per week." Notable characteristics include its quantifiable nature (e.g., number of sessions per week) and potential impact on health indicators like sleep quality.

7. What variable would be used to categorize the data into groups and what are its notable characteristics?

The categorizing variable will be "self-reported sleep quality." Its notable characteristics include its subjective nature (based on individual perception), variability among participants, and relevance to overall well-being.

8. Review Phase 2 of the project. Do you have any questions about how to implement your next phase or move forward?

At this point, the most important aspects to consider for Phase 2 are refining the survey instrument to ensure question clarity and relevance, addressing potential biases associated with convenience sampling, and planning data analysis to draw meaningful conclusions about the relationship between exercise and sleep quality.