Is it true that players tend to perform better in their contract years? Furthermore, can teams or fantasy managers really take advantage of it?
-
Updated
Aug 30, 2021
#
paired-t-test
Here are 17 public repositories matching this topic...
Search Engine based on Cranfield dataset
information-retrieval wordnet hypothesis-testing kmeans-clustering spellchecker latent-semantic-analysis paired-t-test trie-data-structure recall-precision
-
Updated
Jun 8, 2025 - Jupyter Notebook
Visualization from Statistical Data Analysis
visualization statistics pandas seaborn bokeh matplotlib data-wrangling paired-t-test anova-test student-t-test
-
Updated
Apr 18, 2022 - Jupyter Notebook
Predicting the Contraceptive Method Choice of a Woman Based on Demographic and Socio-economic Characteristics - The objective of this study is to to predict the contraceptive methods (no use, long-term methods, or short-term methods) of a woman based on her demographic and socio-economic characteristics. A data-set of 1473 married women with the…
machine-learning jupyter-notebook feature-selection naive-bayes-classifier supervised-learning confusion-matrix data-preprocessing decision-tree-classifier f1-score knn-classification classification-model hyper-parameter-tuning paired-t-test socio-economic-characteristics
-
Updated
May 12, 2021 - Jupyter Notebook
Machine Learning Algorithms Collection
neural-network linear-regression machine-learning-algorithms logistic-regression polynomial-regression decision-tree k-nearest-neighbours singular-value-decomposition paired-t-test
-
Updated
Nov 16, 2023 - Jupyter Notebook
This repository will explain about paired sample t-test, the test procedure and how to use it using Scipy library of Python.
-
Updated
Feb 11, 2021 - Jupyter Notebook
Designed and analyzed a repeated measures experiment (RCBD) testing whether house music affects visual memory (Chimp Test) in UCSB undergraduates. Applied paired t-test, RCBD ANOVA in R. Found a statistically significant 1.5 level performance decrease under music (p < 0.001). Built with R, Quarto, ggplot2, and kableExtra.
data-science ggplot2 r statistics blocking statistical-analysis hypothesis-testing patchwork anova treatment-effects experimental-design paired-t-test quarto qmd kableextra randomized-blocks rcbd
-
Updated
Apr 8, 2026
HealthAnalytics-SAS: Leveraging SAS Programming to Uncover Health Trends, Correlations, and Predictive Insights from Comprehensive Health Data Analysis.
-
Updated
Jun 19, 2024 - Python
Methods for extracting device data and Data analysis with Shapiro-Wilk, Paired T Test + Cohen's D, Wilcoxon + Rank bisserial Correlation.
-
Updated
Aug 1, 2025 - Jupyter Notebook
A basic comparison of different statistical methods for data understanding and exploration.
-
Updated
Jun 20, 2023 - Jupyter Notebook
Project in R analyzing "Cigarette" dataset using libraries Ecdat, ggplot2, dplyr
ggplot2 dplyr libraries linear-regression variability-analysis boxplot scatterplot paired-t-test ecdat adjusting-for-inflation pearson-s-product-moment-correlation
-
Updated
Nov 6, 2023
pandas and paired t tests with cell bio data
-
Updated
Jan 19, 2018 - Jupyter Notebook
Hypothesis testing and Statistical Analysis Projects
-
Updated
Feb 1, 2018 - HTML
This repository contains different statistical methods for Hypothesis testing.
statistics probability confidence-intervals hypothesis-testing zscore paired-t-test ttest anova-test normality-test ftest-statistics
-
Updated
Jun 4, 2023 - Jupyter Notebook
Data for A Cause - Pencils of Promise
-
Updated
Nov 3, 2019
Rent pricing prediction on NY properties with interactive dashboards.
machine-learning data-mining exploratory-data-analysis feature-selection pca regression-models student-project kernel-density-estimation feature-importance fine-tuning paired-t-test learning-curves data-visualization-dashboard streamlit-dashboard preprocessing-data regression-metrics streamlit-application recursive-feature-elimination-cv removing-outliers rent-prediction
-
Updated
Mar 8, 2024 - Jupyter Notebook
This repository consists of an R Notebook utilizing the following bioinformatics methods: p-values and Deep Neural Networks. Histograms have been used to plot the differences between before training and after training results. The csv file "BIMM 143 Project 2.csv" will be necessary for code to run.
-
Updated
Dec 7, 2021
Improve this page
Add a description, image, and links to the paired-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 paired-t-test topic, visit your repo's landing page and select "manage topics."