Discussion Overview
The discussion revolves around performing a hypothesis test for normality using the TI-84 calculator. Participants explore programming approaches to calculate normal distribution values without relying on visual plots, addressing issues with their code and the accuracy of results.
Discussion Character
- Technical explanation
- Mathematical reasoning
- Debate/contested
Main Points Raised
- One participant seeks a method to conduct a hypothesis test for normality without visual plots and encounters errors in their programming attempts.
- Another participant provides a link that may assist with the hypothesis testing process.
- Multiple participants share code snippets intended to calculate normal cumulative distribution function (CDF) values, noting issues with incorrect outputs, specifically lists filled with zeros.
- There is a suggestion that the normalcdf function may not accept lists as input for X values, prompting further investigation.
- One participant updates their code to calculate cumulative frequency and reports that it resolves the issue of zeros but introduces a discrepancy in p-values compared to a statistics textbook.
- A participant shares a separate macro for calculating cumulative frequency, indicating its successful execution.
Areas of Agreement / Disagreement
Participants express uncertainty regarding the correct placement of the normalcdf function within their code and whether it can handle list inputs. There is no consensus on the accuracy of the p-values obtained from their calculations compared to established references.
Contextual Notes
Participants mention potential issues with their code, including the handling of lists and the accuracy of statistical outputs, but do not resolve these concerns. The discussion reflects ongoing troubleshooting and refinement of programming approaches.