significance-testing
There are 0 repository under significance-testing topic.
- deep-significance
Kaleidophon / deep-significance
Enabling easy statistical significance testing for deep neural networks.
Language:Python 316 strengejacke / sjstats
Effect size measures and significance tests
Language:R 186Alcampopiano / hypothesize
Robust statistics in Python
Language:Python 62- abby
andreekeberg / abby
Minimal A/B Testing Library in PHP
Language:PHP 30 arleyc / PCAtest
R package PCAtest for evaluating the statistical significance of PCA analysis, selecting number of significant PC axes, and testing the contributions of the variables to those PCs.
Language:R 18statmlben / dnn-inference
[TNNLS 2022] Significance tests of feature relevance for a black-box learner
Language:Python 15- GenomeAnalytica
ahmedtariq / GenomeAnalytica
This is a package that provide tools to extract different genome architecture features, build taxonomy lineage and test features against certain value in taxonomy rank in fully automated pipeline.
Language:Shell 5 drbashar315 / COVID_Infection_Rate_VS_Distance_From_Manhattan
Example of an end to end data analysis project starting from data acquisition to development of insights. Raw python is mostly used.
Language:Jupyter Notebook 4vaitybharati / P24.-Supervised-ML---Simple-Linear-Regression---Newspaper-data
Supervised-ML---Simple-Linear-Regression---Newspaper-data. EDA and Visualization, Correlation Analysis, Model Building, Model Testing, Model predictions.
Language:Jupyter Notebook 3gorkemguneser / Youtube-Trending-Videos-Statistical-Analysis
Statistical analysis of Youtube trending videos
Language:Jupyter Notebook 2StevenPeutz / StevenPeutz.github.io
In-browser tool for choosing the appropriate statistical test for your hypothesis (SPSS, hypothesis testing, A/B testing, Inferential Statitics) #significance_testing #SPSS #hypothesis_testing
Language:JavaScript 2A 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. Cutlets.csv
Language:Jupyter Notebook 2Alex-Chervony / Excel-VBA-AB-Test-pooled
VBA code and formulae allowing statistical analysis in MS Excel without addons.
Language:Visual Basic 1automl-private / significance_analysis
This package is used to analyse datasets of different HPO-algorithms performing on multiple benchmarks.
Language:HTML 1RSAKIB78 / Statistical-Analysis-R
Implementing statistical analysis on data
T3kan0 / bootstrap_resample_with_replacement
A combination of codes developed for the calculation of the cross-correlation confidence intervals, making use of a pair of light-curves. The code conducts a bootstrap random sampling with replacement method to generate artificial light-curves. The code determines the cross-correlation of the artificial light-curves, and uses them for significance.
Language:Fortran 1Anova ftest statistics. 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 1Chi2 contengency independence test. Q4. 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.
Language:Jupyter Notebook 1Chi2 contengency independence test. Fantaloons Sales managers commented that % of males versus females walking in to the store differ based on day of the week. Analyze the data and determine whether there is evidence at 5 % significance level to support this hypothesis.
Language:Jupyter Notebook 1Hypothesis-Testing 1S1T-Super-Market-Loyality-Program. Population Parameters: Mean=120 Sample Parameters: n=80, Mean=130, SD=40, df=80-1=79
Language:Jupyter Notebook 1Hypothesis-Testing-1-Sample-1-Tail-Test-Salmonella-Outbreak. 1-sample 1-tail ttest. Assume Null Hypothesis Ho as Mean Salmonella <= 0.3. Thus Alternate Hypothesis Ha as Mean Salmonella > 0.3. As No direct code for 1-sample 1-tail ttest available with unknown SD and arrays of means. Hence we find probability using 1-sample 2-tail ttest and divide it by 2 to get 1-tail ttest.
Language:Jupyter Notebook 1Hypothesis-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 Notebook 1Hypothesis-Testing-2-Proportion-T-test-Students-Jobs-in-2-States. Assume Null Hypothesis as Ho is p1-p2 = 0 i.e. p1 ≠ p2. Thus Alternate Hypthesis as Ha is p1 = p2. Explanation of bernoulli Binomial RV: np.random.binomial(n=1,p,size) Suppose you perform an experiment with two possible outcomes: either success or failure. Success happens with probability p, while failure happens with probability 1-p. A random variable that takes value 1 in case of success and 0 in case of failure is called a Bernoulli random variable. Here, n = 1, Because you need to check whether it is success or failure one time (Placement or not-placement) (1 trial) p = probability of success size = number of times you will check this (Ex: for 247 students each one time = 247) Explanation of Binomial RV: np.random.binomial(n=1,p,size) (Incase of not a Bernoulli RV, n = number of trials) For egs: check how many times you will get six if you roll a dice 10 times n=10, P=1/6 and size = repetition of experiment 'dice rolled 10 times', say repeated 18 times, then size=18. As (p_value=0.7255) > (α = 0.05); Accept Null Hypothesis i.e. p1 ≠ p2 There is significant differnce in population proportions of state1 and state2 who report that they have been placed immediately after education.
Language:Jupyter Notebook 1Hypothesis Testing Anova Test - Iris Flower dataset. Anova ftest statistics: Analysis of varaince between more than 2 samples or columns. Assume Null Hypothesis Ho as No Varaince: All samples population means are same. Thus Alternate Hypothesis Ha as It has Variance: Atleast one population mean is different. As (p_value = 0) < (α = 0.05); Reject Null Hypothesis i.e. Atleast one population mean is different Thus there is variance in more than 2 samples.
Language:Jupyter Notebook 1Hypothesis-Testing-Chi2-Test-Athletes-and-Smokers. Assume Null Hypothesis as Ho: Independence of categorical variables (Athlete and Smoking not related). Thus Alternate Hypothesis as Ha: Dependence of categorical variables (Athlete and Smoking is somewhat/significantly related). As (p_value = 0.00038) < (α = 0.05); Reject Null Hypothesis i.e. Dependence among categorical variables Thus Athlete and Smoking is somewhat/significantly related.
Language:Jupyter Notebook 1Hypothesis-Testing-Chi2-Test-Human-Gender-and-Choice-of-Pets. Assume Null Hypothesis as Ho: Human Gender and choice of pets is independent and not related. Thus Alternate Hypothesis as Ha : Human Gender and choice of pets is dependent and related. As (p_valu=0.1031) > (α = 0.05); Accept Null Hypothesis i.e Independence among categorical variables. Thus, there is no relation between Human Gender and Choice of Pets.
Language:Jupyter Notebook 1DavidEnriqueNieves / UkraineWarWorldEconomy
A group project for Florida Tech's MTH5324 (Statistical Modelling) project that analyzes the impact of the Russo-Ukraine war on the economy of several significant geopolitical entities.
Language:R 0ecemuzun / Beers-Statistical-Analysis-R
Fundamental data analysis of relationships between properties of beers and their ratings on R
0- Language:R 0
S-CHAN11 / Salary-Variance-Analysis
In this project I analyze if the salary of employees is dependent on their education or occupation using Advanced Statistical concepts like Hypothesis Testing and Anova
Language:Jupyter Notebook 0shwetapardhi / Assignment-03-Q1--Hypothesis-Testing
Q1.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 validit
Language:Jupyter Notebook 0Anova ftest statistics 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 wheth
Language:Jupyter Notebook 0Chi2 contengency independence test Q4. 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
Language:Jupyter Notebook 0Chi2 contengency independence test Q5. Fantaloons Sales managers commented that % of males versus females walking in to the store differ based on day of the week. Analyze the data and determine whether there is evidence at 5 % significance level to support this hypothesis. Assume Null Hypothesis as Ho: Independence of categorical variables (% of
Language:Jupyter Notebook 0steviecurran / Z-value
Python code for calculating Z-value from probability
Language:Python 0jmersinger / EPI-vs-GDP-Data-Analysis-Visualization-Paper
Research, Analysis, and Final Paper for my Intro to Econometrics class taken in Fall 2023
Language:R
