significance-testing | Topic | Ecosyste.ms: Repos

Topic: "significance-testing"

Kaleidophon/deep-significance

Enabling easy statistical significance testing for deep neural networks.

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strengejacke/sjstats

Effect size measures and significance tests

Language: R - Size: 5.25 MB - Last synced at: about 18 hours ago - Pushed at: 2 months ago - Stars: 190 - Forks: 21

Alcampopiano/hypothesize

Robust statistics in Python

Language: Python - Size: 5.2 MB - Last synced at: 1 day ago - Pushed at: almost 2 years ago - Stars: 66 - Forks: 4

andreekeberg/abby

Minimal A/B Testing Library in PHP

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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.

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statmlben/dnn-inference

Significance tests of feature relevance for a black-box learner

Language: Python - Size: 568 MB - Last synced at: 6 days ago - Pushed at: 10 months ago - Stars: 18 - Forks: 4

hoangsonww/Amazon-Reviews-Analysis

🧐 This project analyzes Amazon Fine Food Reviews to investigate whether negative reviews are more emotionally intense and lexically repetitive than positive ones. Using R, we apply sentiment analysis and lexical diversity metrics to uncover patterns in consumer review language.

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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.

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StevenPeutz/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

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vaitybharati/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.

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vaitybharati/Assignment-03-Q1-Hypothesis-Testing-

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. Cutlets.csv

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spatstat/spatstat.explore

Sub-package of spatstat providing functions for exploratory and nonparametric data analysis

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JuliaAPlavin/MonteCarloTesting.jl

Language: Julia - Size: 11.1 MB - Last synced at: about 24 hours ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

steviecurran/Z-value

Code for calculating Z-score from the p-value

Language: C - Size: 37.1 KB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

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 - Size: 210 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

RSAKIB78/Statistical-Analysis-R

Implementing statistical analysis on data

Size: 5.98 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

vaitybharati/P22.-Hypothesis-Testing-Chi2-Test-Human-Gender-and-Choice-of-Pets-

Hypothesis-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.

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vaitybharati/P21.-Hypothesis-Testing-Chi2-Test-Athletes-and-Smokers-

Hypothesis-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.

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vaitybharati/P20.-Hypothesis-Testing-Anova-Test---Iris-Flower-dataset

Hypothesis 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.

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vaitybharati/P19.-Hypothesis-Testing-2-Proportion-T-test-Students-Jobs-in-2-States-

Hypothesis-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.

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vaitybharati/P18.-Hypothesis-Testing-2-Sample-2-Tail-Test-Drugs-and-Placebos-

Hypothesis-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.

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vaitybharati/P17.-Hypothesis-Testing-1-Sample-1-Tail-Test-Salmonella-Outbreak-

Hypothesis-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.

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vaitybharati/P15.-Hypothesis-Testing-1S1T---Super-Market-Loyality-Program

Hypothesis-Testing 1S1T-Super-Market-Loyality-Program. Population Parameters: Mean=120 Sample Parameters: n=80, Mean=130, SD=40, df=80-1=79

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vaitybharati/Assignment-03-Q5-Hypothesis-Testing-

Chi2 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.

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vaitybharati/Assignment-03-Q4-Hypothesis-Testing-

Chi2 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.

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vaitybharati/Assignment-03-Q2-Hypothesis-Testing-

Anova 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.

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Yang-Weichao/L2test

Code for "Score function-based tests for ultrahigh-dimensional linear models"

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steviecurran/bin-data

Bin data and plot

Language: Python - Size: 161 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

nick-peter-marcus/popculture-platform-sentiment-analysis

Analyze Sentiment of Postings on a Pop Culture Entertainment Website

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frank01101/quasar_candidates

Exploratory data analysis in Python of the quasar candidates catalog by Richards et al., ApJS 219 (2015).

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Schrausser/PRM

Permutation methods calculator. Android application for the calculation of permutation tests.

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automl-private/significance_analysis

This package is used to analyse datasets of different HPO-algorithms performing on multiple benchmarks.

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shwetapardhi/Assignment-03-Q5--Hypothesis-Testing

Chi2 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

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shwetapardhi/Assignment-03-Q4-Hypothesis-Testing

Chi2 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

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shwetapardhi/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

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shwetapardhi/Assignment-03-Q2--Hypothesis-Testing

Anova 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 - Size: 3.91 KB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0