two-sample-t-test

There are 13 repositories under two-sample-t-test topic.

  • mesudepolat/AB_TEST

    AB test

    Language:Jupyter Notebook6100

  • BradyFisher/R-Projects

    A collection of some of my R Projects

    3100

  • YujiJeong/A-B_Testing

    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.

    Language:Jupyter Notebook3201

  • MoinDalvs/Learn_hypothesis_testing_for_Data_science

    Hypothesis for Data Science

    Language:Jupyter Notebook1101

  • vaitybharati/P18.-Hypothesis-Testing-2-Sample-2-Tail-Test-Drugs-and-Placebos-

    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.

    Language:Jupyter Notebook110

  • ankitraj1602/FundamentalOfDataAnalysisEdX

    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/

    0100

  • BenthamChang/Questionnaire-Analysis

    Collaboration with NTHU Library

    Language:HTML0100

  • Jecoc907/Airbnb-Amenities-Descriptions-Analysis

    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.

    Language:Jupyter Notebook0100

  • liyongh1/Statistical-Analysis-using-Kaggle-ML-DS-Survey-Data

    Language:Jupyter Notebook0201

  • UdeshikaDissa/Linear-Regression_R

    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 formula performs to estimate the body fat percentage by comparing the predicted values against the real values. All the statistical computations have been performed in the ‘R Studio’ package in this study. A data-set of 252 people (160 male and 92 female) with their body fat percentages (Brozek method) and ten different body circumference measurements have been used in this study. The Source for the data-set: Roger W. Johnson. March 1996. Fitting Percentage of Body Fat to Simple Body Measurements. Journal of Statistics Education, Volume 4, Number 1.

    0101

  • OGCJN/Tail-approximations-for-the-Student-t--F--and-Welch-statistics

    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 vector of data has a continuous joint density.

    Language:Mathematica10
  • Dunbar-Number-t-test

    pkhiyara/Dunbar-Number-t-test

    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.

    Language:R101

  • stephperillo/MechaCar_Statistical_Analysis

    Analyzing MechaCar production data with R in order to troubleshoot issues that are blocking AutoRUs' manufacturing process.

    Language:R10