What This Document Is
This handout, “Lingering Effects of Sleep Deprivation,” from STAT 218 at Cal Poly San Luis Obispo, presents a research study investigating the impact of sleep loss on cognitive performance. It frames the study within the context of statistical hypothesis testing, guiding students through the process of formulating research questions and interpreting experimental results. The document uses a real-world scenario – the common experience of students pulling all-nighters – to illustrate statistical concepts.
Why This Document Matters
This handout is valuable for students in Applied Statistics for the Life Sciences who are learning to apply statistical methods to analyze research data. It’s used when exploring experimental design, identifying variables, and formulating null and alternative hypotheses. It’s particularly relevant when considering how to interpret the results of studies involving human subjects and real-world phenomena. This document helps bridge the gap between theoretical statistical concepts and their practical application in scientific research.
Common Limitations or Challenges
This handout focuses on setting up a hypothesis test and identifying key components of a study. It does *not* provide a full statistical analysis of the data, nor does it explain how to perform the calculations required to reach a conclusion. Students will still need to understand statistical tests and software to fully analyze the data presented. It also assumes a basic understanding of experimental design principles.
What This Document Provides
The full handout includes:
* A research scenario about the effects of sleep deprivation.
* Guided questions to help students formulate a research conjecture.
* A description of a published study investigating the effects of sleep deprivation on visual discrimination tasks.
* Figures illustrating the experimental setup.
* Prompts to identify the explanatory and response variables.
* A question to determine if the study is an experiment or an observational study.
* A framework for stating the null and alternative hypotheses.
* A dataset for analysis (presented in part in this preview).
This preview only provides a glimpse of the study setup and the types of questions students will be asked to address. It does *not* include the complete dataset, the statistical analysis, or the conclusions of the study.
