ALTERNATE Approach: Single-Factor ANOVA Analysis of Birthweight Data Due to Software Limitations
- Statistics
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- Shared May 2025
An alternate approach using single-factor ANOVA to analyze birthweight data, addressing issues caused by software limitations.
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ALTERNATE Approach: Single - Factor ANOVA Analysis of Birthweight Data Due to Software Limitations If you are convinced that your software is unable to perform the multi - factor ANOVA for assignment 2, please do the following instead: 1) Write the word "ALTERNATE" in capital letters near the top of your report, so that the markers will immediately notice that you are not doing the original assignment. Software Identification: • Software: [Insert the software you are using, e.g., R, SPSS, Python, etc.] • Version: [Insert the version number of the software you are using] 2) (a) Identify the software (including version) that you are using. (b) Identify the commands/actions that did not work, and briefly summarize the error messages that your software product displayed as a result. Commands/Actions That Did Not Work: • Commands/Actions: [Insert the specific commands or actions you attempted that did not work. For example: "I tried to run a two - way ANOVA using the 'aov()' function in R, but the software returned an error."] • Error Messages: [Insert a brief summary of the error messages you received. For example: "The error message was: 'Error: incompatible data types for factor levels,' indicating that the factor variables were not being properly recognized."] 3) Perform at least four single - factor ANOVAs using the phbirths.dat data, with birthweight as the response variable in each case. Use the remaining variables (black, smoke, education, etc.) as your explanatory variables.
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