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Strategies for analyzing the distribution of datasets, switching the data towards a normal distribution testing different manual transformations and Box-Cox transformation.
Company X has recently introduced a new type of bidding, average bidding, as an alternative to the current type of bidding called maximum bidding. One of our clients, bombabomba.com, decided to test this new feature and wants to do an A/B test to see if average bidding converts more than maximum bidding.
Easy statistical testing on the web
This is a group project for MTH416A: Regression Analysis at IIT Kanpur
Perform a STEP by STEP multiple mean comparison analysis on R
Evaluating the impact of a new golf ball coating
Statistical analysis comparing metal accumulation levels in three macroinvertebrate groups
Fundamental Concept for Hypothesis Testing, such as Parametric vs Non Parametric Statistical Tests , Various T-tests ,
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.
HHA507 / Data Science / Assignment 6 / ANOVA
Exploring a real-world dataset for regression analysis.
Como descrever meus dados? Quais testes estatísticos devo usar? Síntese dos testes estatísticos (introdutórios) que podem ser usados em uma análise de dados em saúde.
Shandong suicide dataset analysis
Анализ датасета по суицидам в Шаньдуне.
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).
Statistically analyzing the results of an A-B test
Inferential_Data_Analysis_for_Australian_Real_Estate_Industry
This project applies MANOVA to heart disease data, examining the impact of chest pain type (cp), cholesterol (chol), and heart rate (thalach). It includes normality tests, outlier detection, post-hoc analysis, and cross-validation for model evaluation.
Parametrik olmayan istatistiksel yöntemler dersinin ödevi
Исследование влияния характеристик клиентов, которых страховая компания обслуживает, на размер страховых выплат
Gain hands-on experience with ANOVA analysis, understanding its assumptions, and applying it to real-world datasets to understand differences among group means.
Gain hands-on experience with ANOVA analysis, understanding its assumptions, and applying it to real-world datasets to understand differences among group means.
A Python-based utility for testing and visualizing data transformations. Includes normality tests (Shapiro-Wilk and Lilliefors), a variety of transformation methods, and visual analysis tools for histogram and Q-Q plots.
SmoothTrend is a comprehensive time series analysis tool that utilizes Holt-Winters, Holt, and Simple Exponential Smoothing methods, as well as ARIMA/SARIMA modeling, to perform advanced trend analysis, stationarity testing, residual analysis, and forecasting.
A Python-based utility for testing and visualizing data transformations. Includes normality tests (Shapiro-Wilk and Lilliefors), a variety of transformation methods, and visual analysis tools for histogram and Q-Q plots.
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.
DETECTER DES FAUX BILLETS AVEC PYTHON
Final Project for PHST 683 for M.S. Biostatistics at University of Louisville (Survival Analysis)
A statistical paper discussing real estate trends in Connecticut and whether or not there was a significant impact in real estate sales during the COVID-19 pandemic
Статистика в Python. Примеры работы в ГС и выборками, сравнение параметров, статистические тесты.
This project explores Yulu bike rental data to analyze user demand, seasonal trends, and environmental influences on ride volume. Additionally, hypothesis testing was performed to statistically validate key assumptions regarding rental patterns.
Verificar se há diferença significativa entre os dois medicamentos que ajudam no distúrbio do sono utilizando testes estatísticos.
The salary dataset contains info on 474 Midwestern bank employees. Tasks include understanding the dataset's structure, summarizing numerical variables, testing hypotheses on salary equality, gender-based differences, age group analysis, and proportion comparison.