tukey-hsd

There are 12 repositories under tukey-hsd topic.

  • ashishyadav24092000/TukeyKramerTest_MultiComparisonOFMEAN

    It compares the pair of mean tensile strength having significantly equal means using tukey cramer test. It will further help us to improve our decisions based on this insight at the production and design side.

    Language:Jupyter Notebook2100
  • alifradi/ANOVA-Shiny-application

    It is a method that allows analyzing the differences among group means in a given sample. ANOVA is a collection of statistical models and their associated estimation procedures like variation within and between groups. It is used to study the modification of mþ as the average of the studied phenomenon Y (quantitative/continuous/dependent variable) according to the influence of one or more (qualitative/discrete/independent variable) factors.

    Language:R1000
  • Elliott-dev/Pymaceutical_ANOVA_Tukey

    For this Project, I first applied an analysis of variance (ANOVA) model to the Pymaceutical dataset and then did a post-hoc analysis of the results by using Tukey Honest Significant Difference (HSD) to determine which drug treatments in the dataset significantly reduce tumor volume and metastasis. I then wrote a summary of my findings.

    Language:Jupyter Notebook1100
  • statistical-analysis

    MIMBCD-UI/statistical-analysis

    📉 Statistical Analysis

    Language:HTML150
  • PNorvaisas/pfun

    R package with a collection of useful functions for lm, Tukey-HSD, etc.

    Language:R1100
  • bilalsp/case_study_covid19

    Statistical Analysis on COVID-19 data to examine the statistical significance across the different regions.

    Language:Jupyter Notebook0202
  • Stats

    cordero-c-perez/Stats

    A repository created to explore and understand Statistics through coding.

    Language:R0100
  • data-becki/Heart-Disease-Research-II

    Using binom_test, ttest_1samp, ttest_ind, f_oneway, pairwise_tukeyhsd, chi2_contingency to investigate some data from a sample of patients who were evaluated for heart disease.

    Language:Jupyter Notebook0100
  • ThoKimHuynh/TMDB_movie_analytic_project

    Very detailed exploratory data analysis is executed on the dataset. Univariate and bivariate analysis using ANOVA and Chi-Squared Test between continuous and categorical variables are explored to find out the relationship between input variables and the output target 'revenue'.

    Language:Jupyter Notebook0100
  • cybertronprime/ofa

    OFA Tool

    Language:JavaScript10
  • izsolnay/Penguins_Python

    Detailed analysis of penguin dataset; K-means clustering and classification models built to predicate penguin features for superior penguin management

    Language:Jupyter Notebook10