Completed
Chapter15_Hypotheses_vignette
Class Central Classrooms beta
YouTube playlists curated by Class Central.
Classroom Contents
Learning Medical Statistics with Python and Jupyter Notebooks
Automatically move to the next video in the Classroom when playback concludes
- 1 Chapter01_Audience_Aims_Motivation_vignette
- 2 Audience and aims
- 3 Motivation
- 4 Chapter02_Sneak_peek_vignette
- 5 A sneak peek
- 6 Chapter03_Why_python_vignette
- 7 Why use python
- 8 Python
- 9 Update_Jupyter_notebooks
- 10 Chapter04_Jupyter_notebook_vignette
- 11 The Jupyter Notebook
- 12 Installing the seaborn module
- 13 Chapter05_A_closer_look_at_our_data_vignette
- 14 A closer look at our dataset
- 15 Chapter06_Spreadsheet_software_vignette
- 16 Spreadsheet software
- 17 Chapter07_Plotly_vignette
- 18 Introduction to plotly
- 19 Chapter08_Research_types_vignette
- 20 Research_types
- 21 Chapter09_Data_types_vignette
- 22 Data types
- 23 Chapter10_Pandas_vignette
- 24 Introduction to Pandas part 1
- 25 Introduction to Pandas part 2
- 26 Chapter11_Measures_of_Central_tendency_and_dispersion_vignette
- 27 Measures of central tendency and measures of dispersion
- 28 Chapter12_Relating_probability_and_area_vignette
- 29 The connection between probability and area
- 30 Chapter13_The_central_limit_theorem_vignette
- 31 The central limit theorem
- 32 Chapter14_Z_and_t_distributions_vignette
- 33 Z and t distributions part 1
- 34 Z and t distributions part 2
- 35 Chapter15_Hypotheses_vignette
- 36 Hypotheses
- 37 Chapter16_Confidence_intervals_vignette
- 38 Confidence intervals
- 39 Chapter17_Parametric_and_nonparametric_tests_vignette
- 40 Parametric and nonparametric tests
- 41 Chapter18_Comparing_two_means_vignette
- 42 Comparing the means of two groups
- 43 Chapter19_Comparing_categorical_data
- 44 Comparing categorical data
- 45 Chapter20_Linear_regression
- 46 Linear regression
- 47 Chapter21_Sensitivity_specificity_PPV_NPV_vignette
- 48 Sensitivity Specificity PPV and NPV
