GitHub | Ecosyste.ms: Repos

idrinth-api-bench/chartjs-plugin-stdev-filler

A small plugin to provide sensible standard deviation displays.

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spacebakery/Variance-in-Weather-Project

Codecademy | Statistics for Data Analysis | Variance and Standard Deviation

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pub-calculator-io/standard-deviation

Free WordPress Plugin: Given a discrete data set, the calculator calculates the mean, variance, and standard deviation of a sample or a population and shows all the intermediate steps of calculations. www.calculator.io/standard-deviation/

Language: JavaScript - Size: 6.53 MB - Last synced: 6 days ago - Pushed: 7 days ago - Stars: 8 - Forks: 0

pub-calculator-io/standard-deviation-calculator

Free WordPress Plugin: Given a discrete data set, the calculator calculates the mean, variance, and standard deviation of a sample or a population and shows all the intermediate steps of calculations. www.calculator.io/standard-deviation-calculator/

Language: JavaScript - Size: 5.99 MB - Last synced: 7 days ago - Pushed: 7 days ago - Stars: 3 - Forks: 0

jeroenterheerdt/HADailySensor

Sensor for Home Assistant that gets reset at midnight

Language: Python - Size: 873 KB - Last synced: about 10 hours ago - Pushed: 24 days ago - Stars: 66 - Forks: 14

akshupande/Identification-Of-Species-Of-Medicinal-Leaves

Identification of Species of Medicinal Leaves using a pre-trained CNN model

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shwetapardhi/Assignment-1-Q21_a-Basic-Statistics-Level-1

Q 21) Check whether the data follows normal distribution a) Check whether the MPG of Cars follows Normal Distribution Dataset: Cars.csv

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shwetapardhi/Assignment-1-Q12--Basic-Statistics-Level-1

Q12) Below are the scores obtained by a student in tests 34,36,36,38,38,39,39,40,40,41,41,41,41,42,42,45,49,56 Find mean, median, variance, standard deviation. What can we say about the student marks?

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shwetapardhi/Assignment-2-set1-Q1-Basic-Statistic-Level-2

Plot the data, find the outliers and find out μ,σ,σ^2

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shwetapardhi/Assignment-1-Q7--Basic-Statistics-Level-1

Q7) Calculate Mean, Median, Mode, Variance, Standard Deviation, Range & comment about the values / draw inferences, for the given dataset For Points,Score,Weigh> Find Mean, Median, Mode, Variance, Standard Deviation, and Range and also Comment about the values/ Draw some inferences. Use Q7.csv file

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stdlib-js/stats-base-dvariancetk

Calculate the variance of a double-precision floating-point strided array using a one-pass textbook algorithm.

Language: JavaScript - Size: 478 KB - Last synced: 20 days ago - Pushed: 22 days ago - Stars: 2 - Forks: 0

stdlib-js/stats-base-dvarmpn

Calculate the variance of a double-precision floating-point strided array provided a known mean and using Neely's correction algorithm.

Language: JavaScript - Size: 473 KB - Last synced: 20 days ago - Pushed: 22 days ago - Stars: 2 - Forks: 0

imsatyasaiteja/Network_Science

Research project that focuses on observing the Resilience of Delhi Road Networks to Traffic Disruptions

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stdlib-js/stats-incr-covariance

Compute an unbiased sample covariance incrementally.

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stdlib-js/stats-iter-variance

Compute the unbiased sample variance over all iterated values.

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stdlib-js/stats-incr-variance

Compute an unbiased sample variance incrementally.

Language: JavaScript - Size: 995 KB - Last synced: 20 days ago - Pushed: 22 days ago - Stars: 2 - Forks: 0

stdlib-js/stats-base-dnanvariancech

Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using a one-pass trial mean algorithm.

Language: JavaScript - Size: 501 KB - Last synced: 20 days ago - Pushed: 22 days ago - Stars: 2 - Forks: 0

stdlib-js/stats-base-dnanvariancetk

Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using a one-pass textbook algorithm.

Language: JavaScript - Size: 479 KB - Last synced: 20 days ago - Pushed: 22 days ago - Stars: 2 - Forks: 0

stdlib-js/stats-base-dnanvariancewd

Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using Welford's algorithm.

Language: JavaScript - Size: 479 KB - Last synced: 20 days ago - Pushed: 22 days ago - Stars: 2 - Forks: 0

stdlib-js/stats-base-dnanvarianceyc

Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.

Language: JavaScript - Size: 482 KB - Last synced: 20 days ago - Pushed: 22 days ago - Stars: 2 - Forks: 0

stdlib-js/stats-base-dvariancech

Calculate the variance of a double-precision floating-point strided array using a one-pass trial mean algorithm.

Language: JavaScript - Size: 477 KB - Last synced: 20 days ago - Pushed: 22 days ago - Stars: 1 - Forks: 0

stdlib-js/stats-base-dvariancewd

Calculate the variance of a double-precision floating-point strided array using Welford's algorithm.

Language: JavaScript - Size: 479 KB - Last synced: 20 days ago - Pushed: 22 days ago - Stars: 2 - Forks: 0

stdlib-js/stats-base-dvarianceyc

Calculate the variance of a double-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.

Language: JavaScript - Size: 478 KB - Last synced: 20 days ago - Pushed: 22 days ago - Stars: 1 - Forks: 0

stdlib-js/stats-base-dvarm

Calculate the variance of a double-precision floating-point strided array provided a known mean.

Language: JavaScript - Size: 1.14 MB - Last synced: 20 days ago - Pushed: 22 days ago - Stars: 1 - Forks: 0

stdlib-js/stats-base-dvarmtk

Calculate the variance of a double-precision floating-point strided array provided a known mean and using a one-pass textbook algorithm.

Language: JavaScript - Size: 474 KB - Last synced: 20 days ago - Pushed: 22 days ago - Stars: 1 - Forks: 0

stdlib-js/stats-base-nanvariancech

Calculate the variance of a strided array ignoring NaN values and using a one-pass trial mean algorithm.

Language: JavaScript - Size: 380 KB - Last synced: 20 days ago - Pushed: 22 days ago - Stars: 2 - Forks: 0

stdlib-js/stats-base-nanvariancetk

Calculate the variance of a strided array ignoring NaN values and using a one-pass textbook algorithm.

Language: JavaScript - Size: 373 KB - Last synced: 20 days ago - Pushed: 22 days ago - Stars: 1 - Forks: 0

stdlib-js/stats-base-nanvariancewd

Calculate the variance of a strided array ignoring NaN values and using Welford's algorithm.

Language: JavaScript - Size: 382 KB - Last synced: 20 days ago - Pushed: 22 days ago - Stars: 2 - Forks: 0

stdlib-js/stats-base-nanvarianceyc

Calculate the variance of a strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.

Language: JavaScript - Size: 380 KB - Last synced: 20 days ago - Pushed: 22 days ago - Stars: 2 - Forks: 0

stdlib-js/stats-base-variancech

Calculate the variance of a strided array using a one-pass trial mean algorithm.

Language: JavaScript - Size: 473 KB - Last synced: 20 days ago - Pushed: 22 days ago - Stars: 2 - Forks: 0

stdlib-js/stats-base-variancetk

Calculate the variance of a strided array using a one-pass textbook algorithm.

Language: JavaScript - Size: 407 KB - Last synced: 20 days ago - Pushed: 22 days ago - Stars: 2 - Forks: 0

stdlib-js/stats-base-variancewd

Calculate the variance of a strided array using Welford's algorithm.

Language: JavaScript - Size: 475 KB - Last synced: 20 days ago - Pushed: 22 days ago - Stars: 1 - Forks: 0

stdlib-js/stats-base-varianceyc

Calculate the variance of a strided array using a one-pass algorithm proposed by Youngs and Cramer.

Language: JavaScript - Size: 399 KB - Last synced: 20 days ago - Pushed: 22 days ago - Stars: 1 - Forks: 0

LaCapitainerie/Jafar

Standard Deviation reducer

Language: Python - Size: 6.77 MB - Last synced: 27 days ago - Pushed: 27 days ago - Stars: 0 - Forks: 0

anilesh-prajapati/Probability-and-Statistics-for-Machine-Learning

Probability and Statistics for Machine Learning

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AlexandreHiroyuki/DataTome

Data Tome is a C++ library for data analysis and data filtering on IoT devices on a time series. Focus on the developer's experience and performance. It is the successor to the MovingAveragePlus library.

Language: C++ - Size: 201 KB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 2 - Forks: 0

wkeilsohn/Standard-Error-Confidence-Intervals-T-tests

R file that looks at standard error, confidence intervals, and t-tests in a data set.

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lajuman/Standard-Deviation

Language: Python - Size: 1.95 KB - Last synced: 2 months ago - Pushed: 2 months ago - Stars: 0 - Forks: 0

WinPooh32/series

Series data statistics processing functions

Language: Go - Size: 168 KB - Last synced: 2 months ago - Pushed: over 1 year ago - Stars: 4 - Forks: 1

RoshniRanaDS/Excel-Challenge-from-University-Of-Toronto

Crowdfunding Data Analysis

Size: 1.25 MB - Last synced: 2 months ago - Pushed: 2 months ago - Stars: 0 - Forks: 0

Aprataksh/Python-Files

mic_py : Python 3 code for successful use of microphone on windows. stdev_ema.py : Python 3 code for calculation of standard deviation and exponential moving average of stock data.

Language: Python - Size: 5.86 KB - Last synced: 2 months ago - Pushed: about 6 years ago - Stars: 3 - Forks: 2

hazelcast-guides/standard-deviation-parallel-processing

Use an entry processor to process in parallel the standard deviation of customer satisfaction scores that are stored in a map.

Language: Java - Size: 61.5 KB - Last synced: 11 days ago - Pushed: 2 months ago - Stars: 1 - Forks: 0

swalx/programming-statistics

Probability Theory & Statistics from a Programming Perspective with Calculations

Language: Python - Size: 21.5 KB - Last synced: 4 months ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

ydkristanto/apl-dist-sampling-stat

Aplikasi Shiny untuk mendemonstrasikan distribusi sampling berbagai macam statistik.

Language: R - Size: 28.3 KB - Last synced: 3 months ago - Pushed: 4 months ago - Stars: 0 - Forks: 0

alxgmpr/tmrs

CLI utility to measure time performance of commands with things like averages and standard deviation built in.

Language: Rust - Size: 15.6 KB - Last synced: 28 days ago - Pushed: 4 months ago - Stars: 0 - Forks: 0

kumarshivam04203/Statistics-Calculator

Statistics Calculator

Language: JavaScript - Size: 78.1 KB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 0 - Forks: 0

stdlib-js/stats-base-sstdevch

Calculate the standard deviation of a single-precision floating-point strided array using a one-pass trial mean algorithm.

Language: JavaScript - Size: 1.02 MB - Last synced: 11 days ago - Pushed: about 1 month ago - Stars: 1 - Forks: 0

stdlib-js/stats-base-sstdevwd

Calculate the standard deviation of a single-precision floating-point strided array using Welford's algorithm.

Language: JavaScript - Size: 1020 KB - Last synced: 10 days ago - Pushed: about 1 month ago - Stars: 1 - Forks: 0

stdlib-js/stats-base-dnanstdev

Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values.

Language: JavaScript - Size: 1.12 MB - Last synced: 9 days ago - Pushed: about 1 month ago - Stars: 1 - Forks: 0

axiomhq/variance

Go implementation of variance's method for one-pass variance computation with D. H. D. West improved methods which features merging of several multiple sets of statistics and adding weighted values.

Language: Go - Size: 192 KB - Last synced: 21 days ago - Pushed: 2 months ago - Stars: 16 - Forks: 6

tanvir-ishraq/business-predictions-project-and-analysis

Business analysis and Business prediction with Pandas on tabular data using statistics and sklearn

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NikhilaThota/Stats_analysis_hospital_readmissions

Used statistical measures to determine if the rate of re admissions for hospitals are high, if yes, what steps can be taken to bring the rate down.

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NikhilaThota/Stat_analysis_recruiter_calls

Statistical Analysis is used to determine if race plays an important role in callback rates (from recruiters)

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NikhilaThota/Comparing_group_means

Compare the means of two groups (male & female) body temparatures

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ryanschaub/Level-Difficulty-in-Candy-Crush-Saga

In this project we will work with a real Candy Crush data set and use this data to estimate level difficulty.

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vaitybharati/R_basics

R_basics

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vaitybharati/R_basics-homework

R_basics Functions

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vaitybharati/R-Basics2

R-Basics2 homework

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vaitybharati/P16.-Hypothesis-Testing-1S2T---Call-Center-Process

Hypothesis Testing 1S2T - Call Center Process. Sample Parameters: n=50, df=50-1=49, Mean1=4, SD1=3 1-sample 2-tail ttest Assume Null Hypothesis Ho as Mean1 = 4 Thus, Alternate Hypothesis Ha as Mean1 ≠ 4

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vaitybharati/P11.-Normal-Distribution-of-Stocks

To understand Normal Distribution and its application. Daily returns of stocks traded in BSE (Bombay Stock Exchange). To understand risk and returns associated with various stocks before investing in them. BEML and GLAXO Stocks study.

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vaitybharati/P14.-Confidence-Interval-for-Stocks

Find confidence intervals for Beml and Glaxo stocks. Confidence Interval Estimate

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vaitybharati/P12.-C.I.E-using-z-values-Confidence-Interval-Estimate-

credit card launch example sample mean: 1990 sample SD: 2833 Pop SD: 2500 Pop mean: ? n=140 Q: Construct 95% confidence interval for mean card balance and interpret it

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vaitybharati/P13.-C.I.E-using-t-values-Confidence-Interval-Estimate-

credit card launch example sample mean: 1990 sample SD: 2833 Pop mean: ? n=140 (In cases, where pop SD is not known, use t-values and practically in all problems prefer t over z) Q: Construct 95% confidence interval for mean card balance and interpret it

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vaitybharati/P01.-Pandas-1

Understanding Pandas, Importing datasets, Deriving Attributes, Performing Statistics

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vaitybharati/P07.-Chebyshev-s-practice

Chebyshev's Theorem 3/4th or 75% of observations lie 2 Standard deviations of mean i.e. mean+2SD and mean-2SD

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vaitybharati/Normal-Distribution

Normal-Distribution

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vaitybharati/Datascience_R

R code Tutorial

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vaitybharati/Datascience_python

Python code

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vaitybharati/Assignment-2-Set2-Q5-Basic-Statistic-Level-2-

Consider a company that has two different divisions. The annual profits from the two divisions are independent and have distributions Profit1 ~ N(5, 3^2) and Profit2 ~ N(7, 4^2) respectively. Both the profits are in $ Million. Answer the following questions about the total profit of the company in Rupees. Assume that $1 = Rs. 45 A. Specify a Rupee range (centered on the mean) such that it contains 95% probability for the annual profit of the company. B. Specify the 5th percentile of profit (in Rupees) for the company C. Which of the two divisions has a larger probability of making a loss in a given year?

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vaitybharati/Assignment-2-Set1-Q1-Basic-Statistic-Level-2-

Plot the data, find the outliers and find out μ,σ,σ^2

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vaitybharati/Assignment-1-Q7-Basic-Statistics-Level-1-

Q7) For Points,Score,Weigh: Find Mean, Median, Mode, Variance, Standard Deviation, and Range and also Comment about the values/ Draw some inferences. Use Q7.csv file

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vaitybharati/Assignment-1-Q12-Basic-Statistics-Level-1-

Below are the scores obtained by a student in tests 34,36,36,38,38,39,39,40,40,41,41,41,41,42,42,45,49,56. Find mean, median, variance, standard deviation. What can we say about the student marks?

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vaitybharati/A8-Aczel-problems-practice-1-48-1-51-1-53-

Language: Jupyter Notebook - Size: 9.77 KB - Last synced: 7 months ago - Pushed: about 3 years ago - Stars: 1 - Forks: 0

vaitybharati/A13-Aczel-problems-practice-1-74-1-75-

Solution to Aczel problems practice (1-74, 1-75)

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vaitybharati/A5-Aczel-problems-practice-1-17-1-23-1-35-

Data: 23, 26, 29, 30, 32, 34, 37, 45, 57, 80, 102, 147, 210, 355, 782, 1209

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vaitybharati/A4-Aczel-problems-practice-1-16-1-22-1-34-

Following are the numbers of daily bids received by the government of a developing country from firms interested in winning a contract for the construction of a new port facility

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vaitybharati/A3-Aczel-problems-practice-1-15-1-21-1-33-

The following data are the total 1-year return, in percent, for 10 midcap mutual funds

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vaitybharati/A2-Aczel-problems-practice-1-14-1-20-1-32-

The following data are annualized returns on a group of 15 stocks. 12.5, 13, 14.8, 11, 16.7, 9, 8.3, -1.2, 3.9, 15.5, 16.2, 18, 11.6, 10, 9.5

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vaitybharati/A17-Aczel-problems-practice-1-82-1-83-

Solution to Aczel problems practice (1-82, 1-83)

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vaitybharati/A16-Aczel-problems-practice-1-80-1-81-

The future Euroyen is the price of the Japanese yen as traded in the European futures market. The following are 30-day Euroyen prices on an index from 0 to 100%. Find mean, variance, standard deviation and the median.

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vaitybharati/A14-Aczel-problems-practice-1-76-1-77-

The following table shows changes in bad loans and in provisions for bad loans, from 2005 to 2006, for 19 lending institutions. Verify the reported averages, and find the medians. Which measure is more meaningful, in your opinion? Also find the standard deviation and identify outliers for change in bad loans and change in provision for bad loans

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vaitybharati/A15-Aczel-problems-practice-1-78-1-79-

Solution to Aczel problems practice (1-78, 1-79)

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vaitybharati/A12-Aczel-problems-practice-1-71-1-72-1-73-

Solution to Aczel problems practice (1-71, 1-72, 1-73)

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vaitybharati/A1-Aczel-problems-practice-1-13-1-19-1-31-

The following data are numbers of passengers on flights of Delta Air Lines between San Francisco and Seattle over 33 days in April and early May. 128, 121, 134, 136, 136, 118, 123, 109, 120, 116, 125, 128, 121, 129, 130, 131, 127, 119, 114, 134, 110, 136, 134, 125, 128, 123, 128, 133, 132, 136, 134, 129, 132

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vaitybharati/A10-Aczel-problems-practice-1-62-1-63-1-64-1-65-

Fortune published a list of the 10 largest “green companies”—those that follow environmental policies. Their annual revenues, in $ billions, are given below. Find the mean, variance, and standard deviation of the annual revenues.

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AndrewShanahan/fundata-assessment

ATU H.Dipp in Computer Programming in Data Analytics: Repository for Fundamentals of Data Analysis

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celest4e/linearregression-bostonhousing

In this project, I created a linear regression analysis of the Boston Housing Dataset with Python

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sharmasapna/10-Days-of-Statistics-HackerRank-solutions

10 Days of Statistics Hackerrank Solutions

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galihap76/standard-deviation-python

Implementasi sederhana standard deviation pada python.

Language: Python - Size: 16.6 KB - Last synced: 9 months ago - Pushed: 9 months ago - Stars: 0 - Forks: 0

YujiSODE/randFreq

Simple tool for estimating frequencies of random variables.

Language: Tcl - Size: 15.6 KB - Last synced: 9 months ago - Pushed: about 6 years ago - Stars: 1 - Forks: 0

EmamulHossen/FeatureTransformation-Assignment-

Feature transformation is a technique in machine learning that changes the way features are represented in order to improve the performance of machine learning algorithms. This can be done by transforming the features to a different scale, removing outliers, or creating new features from existing

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bridaniels/pandas_hw2

Portfolio analysis using basic analytic methods

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EmamulHossen/Feature-Transformation

Feature transformation is a mathematical transformation in which we apply a mathematical formula to a particular column (feature) and transform the values, which are useful for our further analysis. It is a technique by which we can boost our model performance.

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GitHub topics: standard-deviation