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GitHub topics: anova-test

saeun-park/Data-Analysis

데이터 분석 프로젝트 및 공모전

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Jabulente/Kruskal-Wallis-Using-Python

A simple Python implementation of the Kruskal-Wallis H-test to compare medians across three or more independent groups. Ideal for non-parametric analysis when data is not normally distributed. Includes example datasets, statistical interpretation, and optional post-hoc analysis.

Language: Jupyter Notebook - Size: 915 KB - Last synced at: 1 day ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

RebeccaMorolong/MTN-Customer-Churn-Prdiction

Language: Jupyter Notebook - Size: 178 KB - Last synced at: 4 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

Hords01/Health_Program_for_Cholesterol_Statistics_Tests

Scipy Tests

Language: Python - Size: 176 KB - Last synced at: 12 days ago - Pushed at: 13 days ago - Stars: 0 - Forks: 0

Cyberoctane29/Diamonds-ANOVA-Analysis

This project uses ANOVA in Python to analyze how diamond color and cut affect pricing. By testing for statistical significance and running post hoc comparisons, it reveals key pricing patterns. Built with pandas, statsmodels, and Seaborn, the findings help inform diamond valuation and purchasing decisions.

Language: Jupyter Notebook - Size: 378 KB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 0 - Forks: 0

rohitsanj/doex

Python library for Design and Analysis of Experiments

Language: Python - Size: 137 KB - Last synced at: 23 days ago - Pushed at: over 4 years ago - Stars: 15 - Forks: 3

ankit-verma2000/Business-Case-Yulu

This project analyzed factors affecting the demand for shared electric cycles in the Indian market. Using EDA and hypothesis testing, I found no significant effect of "working day" on rental count but confirmed that seasonality influences demand. The insights provide valuable guidance for optimizing shared cycle availability.

Language: Jupyter Notebook - Size: 1.54 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

shallowManica/Kaggle-Survey-Salary-Data_Analysis

This project analyzes the dataset from Kaggle to investigate salary disparities among data science professionals based on gender and education level. The analysis combines t-tests and one-way ANOVA with robust bootstrap sampling methods to address non-normality in the data.

Language: Jupyter Notebook - Size: 1.8 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

edaaydinea/OP1-Prediction-of-the-Different-Progressive-Levels-of-Alzheimer-s-Disease

This is an optional model development project on a real dataset related to predicting the different progressive levels of Alzheimer’s disease (AD).

Language: Jupyter Notebook - Size: 47.5 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 10 - Forks: 4

Statistics-and-Machine-Learning-with-R/Statistical-Methods-and-Machine-Learning-in-R

This is an initiative to help understand Statistical methods and Machine learning in a naive manner. You will find scripts, and theoretical contents required to clarify concepts, especially for bio-informatic students.

Language: R - Size: 24.3 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 14 - Forks: 12

TheDataDesk/ProductInsightEngine

To evaluate different implementations of an in-app currency feature with ABC Analysis

Language: Jupyter Notebook - Size: 9.2 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

acpennlab/statistics-resampling Fork of gnu-octave/statistics-resampling

A statistics package with a variety of bootstrap and other resampling tools. This repository is synced to the same-named repository owned by GNU-Octave. It exists to facilitate publication of the developmental version of the statistics-resampling toolbox at MathWorks FileExchange.

Language: MATLAB - Size: 18.2 MB - Last synced at: 30 days ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0

lorainemg/Household-Analysis

Statistics project on the analysis of the household dataset.

Language: R - Size: 4.93 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

Quantum-Software-Development/Bovespa-Banks-Value-Analysis

This repository analyzes wealth distribution among Brazilian banks, highlighting disparities between national and foreign institutions.

Language: Jupyter Notebook - Size: 45.6 MB - Last synced at: 28 days ago - Pushed at: 3 months ago - Stars: 1 - Forks: 1

lifeng1997807/-

分析不同教學方法對英文成績的影響

Language: Python - Size: 254 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

mananabbasi/Applied_Statistics_-_Data_Visualisation_

This repository contains R projects focused on statistical analysis, using techniques like EDA, Hypothesis Testing, ANOVA, Normalization, and Linear Regression. Each project includes datasets, R scripts, results (plots, tables), and a detailed README for insights and methodology.

Language: R - Size: 1.25 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Risanaparvin00/spss-projects

This repository contains an SPSS analysis project, performed to derive insights from the data while maintaining confidentiality. The repository includes an SPSS worksheet and a Word file summarizing the results.

Size: 345 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

kahmengsoh/Small-Cell-Lung-Cancer-Survival-Analysis

SAS Macro to Produce Frequency Table, Chi-Squared and ANOVA Test, KM Model, Log-Rank Test and Wilcoxon Test, Tukey Multiple Comparison, Cox Model. Team members: Kah Meng Soh, Dr. Lynette Smith, Dr. Sharma Smriti, Dr. Apar Kishor Ganti

Language: SAS - Size: 0 Bytes - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

sayed-ashfaq/Yulu-HypothesisTesting

In this project, I analyzed Yulu bikes' usage patterns by performing data visualization and applying various hypothesis testing methods. This included statistical tests, chi-square tests, variance testing, QQ plots, and checking for normal distribution to uncover insights related to customer usage and behavior.

Language: Jupyter Notebook - Size: 7.58 MB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

bgltn/anova_analysis

ANOVA_diamonds_analysis

Size: 138 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Akashash01/Akash_Linear-regression

This is an linear approach machine learning model used to predict the values of variable(dependent) based on other variables(independent).

Language: Python - Size: 30.3 KB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

manjugovindarajan/E-news-Express-Project-Business-Statistics-

An online news portal (E-news Express) wanted to analyze whether their new landing page is effective enough to gather new subscribers or not. Analysis used metrics such as converted status, time spent on landing page, user's preferred language.

Language: Jupyter Notebook - Size: 453 KB - Last synced at: 8 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

ie8701va/PythonCourse

Course output - Python Programming for Behavioral Sciences

Language: Python - Size: 28.3 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

ShlokArora2709/Mentorness

Repo for mentorness internship tasks

Language: Jupyter Notebook - Size: 3.11 MB - Last synced at: 2 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

chetandudhane/advanced-stats

This project concerns with Drug Analysis using ANOVA and Principal Component Analysis on College Admissions data

Language: Jupyter Notebook - Size: 17.2 MB - Last synced at: 9 months ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

johannaschmidle/House-Price-Predictor

A machine learning model to accurately predict house prices based on various features such as quality, size, and location, utilizing Random Forest and XGBoost algorithms (Python)

Language: Jupyter Notebook - Size: 978 KB - Last synced at: about 1 month ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

Tokyo254/Weather-Forecast

Weather parameters forecast by applying ARIMA model in order to accurately predict the parameters.

Size: 4.42 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

cybertronprime/ofa

OFA Tool

Language: JavaScript - Size: 54.7 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

athanzxyt/newsheadline-sentiment 📦

Sentiment Distribution Analysis of News Headlines using Natural Language Processing and ANOVA Techniques

Language: Jupyter Notebook - Size: 2.57 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

josericodata/MScDataAnalyticsFirstSemesterAssignmentTwo

Summary of Assignment Two from the first semester of the MSc in Data Analytics program. This repository contains the CA2 assignment guidelines from the college and my submission. To see all original commits and progress, please visit the original repository using the link below.

Size: 5.22 MB - Last synced at: 3 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

vaishali071017/Yulu-Hypothesis-Testing

Analyzing Demand Drivers for Yulu's Micro-Mobility: A Hypothesis Testing Study

Language: Jupyter Notebook - Size: 1.03 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

manjit-baishya-datascience/NYC-Taxir-Fair-Prediction

This project aims to predict taxi fare amounts in New York City using a dataset of historical taxi rides. We employ machine learning techniques to create models that can estimate the total fare amount based on various features of the trips.

Language: Jupyter Notebook - Size: 1.48 MB - Last synced at: 2 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

fatimagulomova/iu-lessons

IU Lessons

Language: Jupyter Notebook - Size: 1.26 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

spacebakery/Fetchmaker-Project

Analyze Data with Python | Hypothesis Testing with Scipy

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gnu-octave/statistics-resampling Fork of acp29/iboot

A statistics package with a variety of bootstrap and other resampling tools

Language: MATLAB - Size: 17.4 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 8 - Forks: 1

sohao0819/ab_testing

A collection of ab testing case studies and methodologies

Language: Jupyter Notebook - Size: 4.94 MB - Last synced at: 12 months ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

astonglen/Statistical-Methods-Project

Performed rigorous preprocessing, and data cleaning, and conducted exploratory data analysis to identify trends, patterns, and outliers, leading to valuable insights. Employed various statistical methods concepts to get insights about the data for prediction.

Language: Jupyter Notebook - Size: 3.01 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 1 - Forks: 0

DataSpieler12345/python-for-ds-ml

My Python learning experience 📚🖥📳📴💻🖱✏

Language: Jupyter Notebook - Size: 200 MB - Last synced at: about 1 month ago - Pushed at: 12 months ago - Stars: 5 - Forks: 0

Teliteu/biostatistics

solving problems with data analysis, hypotheses and the most used statistical tests in ecology

Language: R - Size: 15.6 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

BoiniGanesh/DATS_6101_11_Team3

This project aims to analyze a dataset of sales transactions from a UK-based e-commerce store specializing in gifts and homewares over one year. With 500,000 rows and 8 columns, including transaction numbers, dates, product details, prices, quantities, customer identifiers, and countries, the analysis focuses on understanding customer behavior

Language: HTML - Size: 12.8 MB - Last synced at: 5 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

ShaikRiyazSandy/Hypothesis-Testing

Hypothesis Testing

Language: Jupyter Notebook - Size: 393 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

Honey28Git/Advanced-Statistics

This study delves into the intricate dynamics between salary, education, and occupation, employing both one-way and two-way ANOVA techniques to uncover their relationships. Additionally, it explores the multifaceted dataset on colleges through Principal Component Analysis (PCA).

Language: Jupyter Notebook - Size: 3.44 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Kshitij-0509/yulu-business-casestudy

Which variables are significant in predicting the demand for shared electric cycles in the Indian market and How well those variables describe the electric cycle demands

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Praveen76/ANOVA-Test-COVID-19

In this repository, discover the intricacies of the ANOVA test and its various types, essential for informed decision-making. Dive into practical demonstrations of each ANOVA test using Python, with a focus on visualizing their application on COVID-19 data. Let's embark on a journey to explore and understand statistical analysis in Python!!

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Kishawn-Dorman/Student-and-Client-Satisfaction-Report

first business data analysis - factors affecting student satisfaction and bank clients

Language: R - Size: 2.36 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 1

kshitij3188/EDDA-Assignments

This repository contains the solutions for three assignments covering statistical analysis using R. Each assignment consists of exercises aimed at reinforcing statistical concepts and R programming skills.

Size: 2.86 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

debanikchakraborty/Multiple-Linear-Regression-on-Bike-Rental

Applied MLR with 5-year bike rental data, incorporating model diagnostics, hypothesis testing, ANOVA and step-wise AIC, identified a significant impact of winter rainfall variation.

Language: R - Size: 854 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

shikhabajaj569/Hypothesis-Testing

Hypothesis testing

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OceaneHountondji/revenus-des-menages-aix-marseille-toulon

Projet de statistiques avec R

Size: 1.95 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

OmBaval/Airline-Customer-Satisfaction

This project employs a dataset of 103,904 entries with 25 features. Utilizing the XGBoost classifier,The workflow involves data fetching, feature selection, preprocessing, correlation analysis, best feature selection, data rescaling, train-test split, and target balancing. Predicts whether a customer will experience satisfaction with a flight.

Language: Jupyter Notebook - Size: 3.84 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

nidhimanthale/Statistical-Modelling

Statistical Modelling of Swine Flu Outbreak Data

Language: R - Size: 239 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

Praveen76/Statistics-Interview-Preparation-Guide

Explore the Statistics Interview Preparation Guide! This GitHub repository offers a curated collection of interview questions and answers tailored for Data Scientists. Elevate your statistical knowledge, confidently navigate technical interviews, and prepare for success in the dynamic field of data science with a focus on statistical applications.

Size: 20.5 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

mp-balaji/Principal-Component-Analysis

This GitHub repository showcases my hands-on exploration of salary data dependencies, the interaction between education and occupation, and a comprehensive Principal Component Analysis (PCA) on college information, providing insights and practical implications in a simplified manner.

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bhanu006/Statistical-Analysis-of-the-Adult-Census-Income-Dataset

Comprehensive statistical analysis of the Adult Census Income Dataset, employing Z-tests, ANOVA, and Tukey's test for categorical data, alongside various modeling techniques such as logistic regression, stepwise selection, Lasso/Ridge Logistic Regression, and Generalized Additive Models (GAM).

Language: Jupyter Notebook - Size: 122 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Prem-98/Hypothesis-tesing

hypothesis-testing

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Revanthshalon/Machine-Learning

A general understanding of Statistics Basics, Different tests with Different Python Libraries

Language: Jupyter Notebook - Size: 14.8 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 3

ashishyadav24092000/RBD__FabricStrength

Four chemicals are being used in this problem on a fabric sample. We have to determine whether all the four chemicals are variably affecting the mean strength of fabric or not, using ANOVA and significance level = 1%..

Language: Jupyter Notebook - Size: 1.9 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

ashishyadav24092000/ALL-Hypothesis-testing

Hypothesis testing using T-test,ANOVA,chi-square test.

Language: Jupyter Notebook - Size: 649 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

vaitybharati/Hypothesis-Test

Hypothesis-Test in python

Language: Jupyter Notebook - Size: 1.95 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

vaitybharati/Anova

Anova

Language: Jupyter Notebook - Size: 1000 Bytes - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

pleonova/stat-tests

A 30+ node flowchart for selecting the right statistical test for evaluating experimental data.

Size: 519 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 8 - Forks: 4

omotuno/mario_kart_experimental_design

Experimental Design Project

Language: HTML - Size: 3.01 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

sahebsinghh/Boston-Housing---Statistical-Analysis

Statistical Analsis of Boston Housing dataset . Part of Statistics for Data Science with Python - IBM @Coursera

Language: Jupyter Notebook - Size: 80.1 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

martinsjeniffer/Metodos-Quantitativos-ACH2036

Repositório contendo os códigos da disciplina Métodos Quantitativos Aplicados à Administração de Empresa I, ministrada pela professora Ana Amélia, na Escola de Artes, Ciências e Humanidades (EACH) na Universidade de São Paulo (USP)

Language: Jupyter Notebook - Size: 379 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 1

SahilJatoi744/DS

DataScience

Language: Jupyter Notebook - Size: 69.3 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 27

linkingmon/AMOA

Advanced Method of Optimization (2022 Spring)

Language: Python - Size: 4.46 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 1

naailrch/Alzheimers-Mental-Health-and-Healthy-Aging-Project

This project attempted to analyze if race and age had any effects on the frequency of mental health issues in older adults.

Language: R - Size: 1.75 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

vahadruya/Capstone_Regression_NYC_Taxi_Trip_Duration_Prediction

This project aims to predict the Taxi-trip duration within NYC based on several factors as predictors. Various combinations of relevant features are explored as iterations. After analysing the dataset, important and necessary features are selected. Several regression models are implemented & evaluated based on R2 & RMSE, & predictions visualised

Language: Jupyter Notebook - Size: 14.4 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

Manisha-Karim/Covid-19-Mortality-Prediction

Used ANOVA to choose the best features and Decision Tree with Post-Pruning to Predict Mortality of Covid-19 Patients

Language: Jupyter Notebook - Size: 817 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

HelpingHensu/User-Evaluation-and-Analysis

I will use Excel to perform statistical analysis for the user study results in this project. Specifically, I will use the Real Statistics Resource Pack for performing the analysis.

Size: 47.9 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

MoinDalvs/Assignment_Hypothesis_test

A F&B manager wants to determine whether there is any significant difference in the diameter of the cutlet between two units. A randomly selected sample of cutlets was collected from both units and measured? Analyze the data and draw inferences at 5% significance level. Please state the assumptions and tests that you carried out to check validity of the assumptions.

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PriyankaSett/statisticsproblems

This repository contains different statistical methods for Hypothesis testing.

Language: Jupyter Notebook - Size: 82 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

eghalea/DOE-Pinball-Experiment

This project is a Pinball designed experiment to determine the effect of different types of ball on the distance in which the ball is thrown. After gathering the data from thrown balls, a hypothesis test was done on the sample mean of each treatment (thrown ball) in a completely randomized design with an alpha around 0.05.

Language: R - Size: 1.89 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

apoorvadudani/Analyzing-Data-from-a-Prepared-Meal-Delivery-Company

I use R to statistically analyze survey data collected from 500 customers of a local prepared meal delivery service

Size: 306 KB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

rochitasundar/Statistical-analysis-Hypothesis-testing-E-newsExpress

The data relates to several user actions or interests recorded on two variants of landing pages for an online news portal. The objective is to analyse these interests by performing statistical analyses to determine if one variant is more effective based on chosen metrics (A/B testing).

Language: Jupyter Notebook - Size: 2.31 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 2

MvMukesh/EmployesEarning-DeepAnalysis_Prediction

What important conclusion a company and an employee can take out of Analysis and Predicting Salary

Language: HTML - Size: 3.81 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Hsin-Hung/Star_Types_Statistical_Correlation

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DrStef/Statistics-for-Data-Science-with-Python

Language: Jupyter Notebook - Size: 3.06 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

aldimeolaalfarisy/Hypothesis-Testing-Concept-ANOVA-

ANOVA test using python to find out if survey or experiment results are significant and the impact of one or more factors by comparing the means of different samples

Language: Jupyter Notebook - Size: 101 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

RishiDarkDevil/Statistical-Inference-Functions

Implementation of Statistical Inference Concepts for learners.

Language: R - Size: 12.7 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

sashahafner/CCPDA

This short free book provides a concise introduction to data analysis meant to address common problems faced by graduate students in engineering and science.

Language: TeX - Size: 14.2 MB - Last synced at: 11 months ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 0

rushikeshw791/Hypothesis-testing-1

Anova ftest statistics.

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datagirlz19/Predict-Emerging-Data-Scientist

What are the odds of “success” in data science for people who use different platforms, languages, and software?

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m-RezaFahlevi/Mathematica-Works

A manuscripts of mine about mathematics and computer science.

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MoinDalvs/Hypothesis_testing_2

A hospital wants to determine whether there is any difference in the average Turn Around Time (TAT) of reports of the laboratories on their preferred list. They collected a random sample and recorded TAT for reports of 4 laboratories. TAT is defined as sample collected to report dispatch. Analyze the data and determine whether there is any difference in average TAT among the different laboratories at 5% significance level.

Language: Jupyter Notebook - Size: 137 KB - Last synced at: 2 months ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

MoinDalvs/Hypothesis_Test_4

TeleCall uses 4 centers around the globe to process customer order forms. They audit a certain % of the customer order forms. Any error in order form renders it defective and has to be reworked before processing. The manager wants to check whether the defective % varies by centre. Please analyze the data at 5% significance level and help the manager draw appropriate inferences

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MoinDalvs/Learn_hypothesis_testing_for_Data_science

Hypothesis for Data Science

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sosotheso/LanguageAnalysis

This repository contains a project about langage analysis : the aim of the project is to analyse the impact of different features (age, english level...) on the english language test results

Language: Python - Size: 48.8 KB - Last synced at: 5 months ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

raj-shr-git/Statistical_testing_python

This repository is created for storing the components of Statistical Tests of One Pop, Two Pops and Three or more pops using Python.

Language: Jupyter Notebook - Size: 84.9 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 8 - Forks: 6

quocduyenanhnguyen/ANOVA-of-baseball-league-team-Individual-Project

In this project, I wrote R codes to conduct ANOVA test to test for any differences in the mean attendance and among the mean attendance of the three divisions for the 14 baseball teams so that the management team can rearrange 14 teams into different divisions to improve attendance rate.

Language: R - Size: 271 KB - Last synced at: 3 months ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

a-memme/MechaCar_Analysis

Performing multiple regression to predict fuel efficiency (MPG) on an energy-efficient car model

Language: R - Size: 66.4 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

AnisH521/R

Contains some Test of Statistics

Language: R - Size: 11.7 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

Thom-J-H/flex_dash_cp

The Five Eyes nations are Australia, Canada, New Zealand, the United Kingdom, and the United States. Compared with Italy, Japan, Mexico, Norway, and Russia. On Life Expectancy and other global studies variables.

Language: R - Size: 1.89 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

MohapatraShibu/Data-Science-by-Shibu

Data Science basic codes.

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Ashlesha8421/Hypothesis

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SourajitaDewasi/StasticalDataAnalysis

Visualization from Statistical Data Analysis

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nafisa-samia/Statistical-Analysis-of-Iris-Dataset

Here we will try some statistical analysis of Iris Dataset

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kuntala-c/Statistical-Analysis-of-Iris-Dataset Fork of nafisa-samia/Statistical-Analysis-of-Iris-Dataset

We performed some statistical analysis of Iris Dataset.

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fusion809/ANOVA-LRT-equivalence

Contains a document in which I showed the equivalence between the one-way ANOVA F-test and likelihood ratio test.

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weihaolun/MechaCar_Statistical_Analysis

Statistics and R: R, linear Regression, Multiple Linear Regression, t-test, Summary Statistics, Study Design, ANOVA test

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Related Keywords
anova-test 109 hypothesis-testing 35 statistics 24 t-test 20 python 19 chi-square-test 15 r 14 statistical-analysis 12 machine-learning 11 data-science 11 data-visualization 11 data-analysis 11 pandas 11 linear-regression 11 anova 10 scipy 9 scipy-stats 8 regression 8 ttest 8 chisquare-test 7 sklearn 7 seaborn 7 confidence-intervals 6 regression-analysis 6 statistical-tests 6 pca-analysis 6 levene-test 6 numpy 6 exploratory-data-analysis 6 xgboost 5 z-test 5 chi2-contingency 5 rstudio 5 python3 5 analysis 4 hypothesis-test 4 machine-learning-algorithms 4 data 4 shapiro-wilk 4 feature-selection 4 logistic-regression 4 manova 4 matplotlib 4 decision-tree 3 pca 3 regression-models 3 decision-tree-regression 3 supervised-learning 3 descriptive-statistics 3 testofindependence 3 normality-test 3 f-test 3 bootstrap 3 anova-analysis 3 hypothesis 3 eda 3 posthoc-tests 3 2sample-2tail 3 kruskal-wallis 3 stats 3 hypothesis-tests 3 matplotlib-pyplot 3 tukey-hsd 3 probability 3 random-forest 3 tukey-test 3 time-series 3 f-statistics 3 multiple-linear-regression 3 chi-square-statistics 2 artificial-intelligence 2 statistical-inference 2 polynomial-regression 2 data-cleaning 2 analysis-of-variance 2 paired-t-test 2 multiple-regression 2 pearson-correlation 2 feature-engineering 2 rbd 2 multicollinearity 2 excel 2 arima-model 2 kmeans-clustering 2 normalization 2 visualization 2 numpy-library 2 pandas-python 2 cox-regression 2 autocorrelation 2 ancova 2 ridge-regression 2 chi-squared-test 2 onehot-encoding 2 tidyverse 2 principal-component-analysis 2 pandas-library 2 prediction-error 2 numpy-arrays 2 post-hoc-analysis 2