When computing a t-test, it is important to distinguish between directional and nondirectional hypotheses as the direction will determine the rejection regions. Describe how the rejection regions would differ according to the type of hypothesis you would use.
An insurance company asks you to determine whether older drivers are safer than younger ones. Provide a directional hypothesis related to this study. Then, explain how you would need to change the hypothesis so that it would be nondirectional. What happens to the rejection regions and why? Which of the two hypotheses do you think is more appropriate and why?
Justify your answers with appropriate reasoning and research from your textbook and course readings. Start reviewing and responding to at least two of your classmates as early in the week as possible. You can ask technical questions or respond generally to the overall experience. Be honest, clear, and concise. Always use constructive language, even in criticism, to work toward the goal of positive progress. Using questions and seeking clarifications are good ways to make your reviews substantive!
When performing a t-test, it’s crucial to distinguish between directional and nondirectional hypotheses because the rejection regions are determined by the direction. Explain how the rejection zones differ depending on the sort of hypothesis you’re using.
You’ve been asked by an insurance firm to evaluate whether elderly drivers are safer than younger drivers. Provide a directional hypothesis for this research. Then, describe how you’d need to alter the hypothesis to make it nondirectional. What happens in the rejection regions, and why are they rejected? Which of the two theories do you believe is the better fit, and why?
Use suitable logic and research from your textbook and course materials to support your answers. As soon as possible, begin evaluating and replying to at least two of your peers.
