two-sample-t-test
Here are 18 public repositories matching this topic...
A collection of some of my R Projects
-
Updated
Apr 7, 2023
Comparing the lift in the subscription rate between the control and personalized contents across marketing channels, and conducting two sample t-test to determine if the difference is statistically significant.
-
Updated
Apr 8, 2021 - Jupyter Notebook
Hypothesis-Testing-2-Sample-2-Tail-Test-Drugs-and-Placebos. Note: This python code states both 2-sample 1-tail and 2-sample 2-tail codes. Treatment group mean is Mu1 Contrl group mean is Mu2 2-sample 2-tail ttest Assume Null Hypothesis Ho as Mu1 = Mu2 Thus Alternate Hypothesis Ha as Mu1 ≠ Mu2.
-
Updated
May 19, 2021 - Jupyter Notebook
Hypothesis for Data Science
-
Updated
Nov 8, 2022 - Jupyter Notebook
An R project that conducts a hypothesis test to analyze the validity of Robin Dunbar's claim that humans only have the capacity to keep track of a maximum of 150 people (Dunbar's Number) at a time. Through this project, Dunbar's hypothesis is investigated with the use of multiple t-tests conducted over a Facebook usage dataset.
-
Updated
Jan 5, 2020 - R
-
Updated
Oct 20, 2024 - Python
R Projects relevant to two part Data Analysis Course. Link to Part 1 and 2 : https://courses.edx.org/courses/course-v1:UTAustinX+UT.7.20x+1T2016/e40867c6134a4731a492e1ab9c5027b3/
-
Updated
Oct 28, 2022
-
Updated
Oct 18, 2024 - Python
We present a detailed study of the asymptotic behavior of the distribution of the tails of these, perhaps, most commonly used statistical tests under non-standard conditions, that is, releasing the underlying assumptions of normality, independence and identical distribution and considering a more general case where one only assumes that the vect…
-
Updated
Feb 3, 2018 - Mathematica
In this project, our team is interested in looking into the effect of “Above and Beyond” Descriptions of Amenities on Airbnb Ratings in Los Angeles.
-
Updated
Mar 10, 2024 - Jupyter Notebook
-
Updated
Oct 17, 2024 - HTML
-
Updated
Oct 19, 2024 - Python
The objective of this study is to determine whether a human body circumference measurement could be used as a general indicator for human body fat percentage. Such body circumference measurement could then be used to predict the body fat percentage by establishing a simple linear formula. The study will further assess how well this linear formul…
-
Updated
May 13, 2021
-
Updated
Apr 13, 2021 - Jupyter Notebook
Collaboration with NTHU Library
-
Updated
Aug 15, 2021 - HTML
-
Updated
Oct 21, 2024 - Python
Improve this page
Add a description, image, and links to the two-sample-t-test topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the two-sample-t-test topic, visit your repo's landing page and select "manage topics."