Programming, webster Fundamentals of Data science
Description
Introduction: Provide a concise overview of the concepts of parametric tests, univariate tests for normality, and hypothesis testing.
Dataset Selection: Identify and describe a dataset suitable for applying these tests. Explain your reasons for choosing it.
Parametric Test Application: Conduct a parametric test on your selected dataset. Include all steps and any Python or R code you used.
Univariate Test for Normality Application:Perform a univariate test for normality on your dataset. Again, include all steps and any Python or R code used.
Results and Conclusion: Summarize your test results. Were your hypotheses confirmed or rejected? What conclusions can you draw about the population from your sample?
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