NaLette Brodnax

Python & Statistics Bootcamp - Summer 2018

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Statistical Inference

Topics

  • point estimation
  • confidence estimation
  • hypothesis testing
  • linear regression

Materials

Bootcamp Project Part II

To complete the final project, you will add onto the Jupyter notebook that you created yesterday. For today, you will complete the Analysis and Conclusion sections. These should be brief, or in outline form.

Analysis

Hypothesis Testing

  • Describe a hypothesis that you would like to test pertaining to one outcome variable and two groups (e.g., whether there is a difference in average GPA between two groups of students)
  • What are the null and alternative hypotheses?
  • For simplicity, assume that your data were generated by random sampling
  • Compute the test statistic and discuss whether you can reject the null hypothesis with 95% confidence

Regression

  • Describe a relationship that you would like to estimate with linear regression
  • Does the scatterplot that you created in the Data section suggest a linear relationship? If not, what can you do about this?
  • Fit the regression line
  • Discuss the meaning of the estimated intercept and slope

Conclusion

  • Summarize what you learned about the topic from your analysis
  • Describe the most interesting aspect of your analysis
  • Describe the most challenging aspects of working with your datasets

Once your project is complete, please update your Github repository and provide the link to the instructor.

Resources

Python

Tools

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