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minjk-bl
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Add statistics apps
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‎visualpython/css/m_stats/probDist.css

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‎visualpython/data/m_stats/statsLibrary.js

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define([
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], function () {
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/**
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* name
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* library
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* description
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* code
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* options: [
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* {
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* name
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* label
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* [optional]
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* component :
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* - 1darr / 2darr / ndarr / scalar / param / dtype / tabblock
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* default
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* required
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* usePair
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* code
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* }
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* ]
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*/
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var STATS_LIBRARIES = {
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/** Discrete prob. dist. */
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'bernoulli': {
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name: 'Bernoulli',
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import: 'from scipy import stats',
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code: '_rv = stats.bernoulli(${p})',
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description: 'A Bernoulli discrete random variable.',
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options: [
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{ name: 'p', component: ['input_number'], default: 0.6, usePair: true },
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]
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},
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'binomial': {
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name: 'Binomial',
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import: 'from scipy import stats',
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code: '_rv = stats.binom(${N}${p})',
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description: 'A binomial discrete random variable.',
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options: [
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{ name: 'N', component: ['input_number'], default: 10, usePair: true },
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{ name: 'p', component: ['input_number'], default: 0.6, usePair: true },
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]
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},
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'multinomial': {
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name: 'Multinomial',
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import: 'from scipy import stats',
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code: '_rv = stats.multinomial(${N}${mu})',
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description: 'A multinomial random variable.',
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options: [
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{ name: 'N', component: ['input_number'], default: 10, usePair: true },
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{ name: 'p', component: ['data_select'], usePair: true },
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]
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},
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/** Continumous prob. dist. */
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'uniform': {
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name: 'Uniform',
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import: 'from scipy import stats',
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code: '_rv = stats.uniform()',
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description: 'A uniform continuous random variable.',
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options: [
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]
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},
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'normal': {
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name: 'Normal',
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import: 'from scipy import stats',
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code: '_rv = stats.norm(${loc}${scale})',
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description: 'A normal continuous random variable.',
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options: [
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{ name: 'loc', component: ['input_number'], default: 0, usePair: true },
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{ name: 'scale', component: ['input_number'], default: 1, usePair: true },
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]
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},
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'beta': {
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name: 'Beta',
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import: 'from scipy import stats',
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code: '_rv = stats.beta(${a}${b})',
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description: 'A beta continuous random variable.',
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options: [
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{ name: 'a', component: ['input_number'], usePair: true },
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{ name: 'b', component: ['input_number'], usePair: true },
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]
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},
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'gamma': {
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name: 'Gamma',
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import: 'from scipy import stats',
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code: '_rv = stats.gamma(${a})',
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description: 'A gamma continuous random variable.',
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options: [
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{ name: 'a', component: ['input_number'], usePair: true },
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]
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},
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'studentst': {
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name: "Student's t",
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import: 'from scipy import stats',
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code: '_rv = stats.t(${df})',
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description: "A Student's t continuous random variable.",
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options: [
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{ name: 'df', component: ['input_number'], usePair: true },
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]
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},
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'chi2': {
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name: 'Chi2',
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import: 'from scipy import stats',
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code: '_rv = stats.chi2(${df})',
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description: 'A chi-squared continuous random variable.',
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options: [
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{ name: 'df', component: ['input_number'], usePair: true },
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]
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},
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'f': {
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name: 'F',
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import: 'from scipy import stats',
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code: '_rv = stats.f(${dfn}${dfd})',
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description: 'An F continuous random variable.',
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options: [
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{ name: 'dfn', component: ['input_number'], usePair: true },
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{ name: 'dfd', component: ['input_number'], usePair: true },
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]
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},
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'dirichlet': {
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name: 'Dirichlet',
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import: 'from scipy import stats',
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code: '_rv = stats.dirichlet(${alpha}${seed})',
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description: 'A Dirichlet random variable.',
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options: [
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{ name: 'alpha', component: ['input_number'], usePair: true },
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{ name: 'seed', component: ['input_number'], usePair: true },
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]
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},
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'multivariate_normal': {
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name: 'Multivariate normal',
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import: 'from scipy import stats',
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code: '_rv = stats.multivariate_normal(${mean}${cov}${allow_singular})',
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description: 'A multivariate normal random variable.',
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options: [
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{ name: 'mean', component: ['data_select'], default: '[0]', usePair: true },
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{ name: 'cov', component: ['data_select'], default: '[1]', usePair: true },
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{ name: 'allow_singular', component: ['bool_select'], default: 'False', usePair: true },
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]
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},
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}
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return STATS_LIBRARIES;
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});

‎visualpython/html/m_stats/equalVarTest.html

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<!--
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Project Name : Visual Python
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Description : GUI-based Python code generator
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File Name : equalVarTest.html
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Author : Black Logic
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Note : equal variance test
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License : GNU GPLv3 with Visual Python special exception
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Date : 2023. 05. 16
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Change Date :
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-->
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<body>
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<div class="vp-grid-box">
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<select id="testType" class="vp-big-select vp-state">
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<option value="bartlett">Bartlett test</option>
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<option value="levene">Levene test</option>
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<option value="fligner">Fligner test</option>
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</select>
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<div class="vp-grid-border-box">
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<div class="vp-grid-box">
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<div class="vp-st-variable-box vp-grid-box">
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</div>
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<div>
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<button id="addVariable" class="vp-button">+ Variable</button>
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<button id="removeVariable" class="vp-button">- Variable</button>
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</div>
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<div class="vp-st-option levene fligner vp-grid-col-160">
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<label for="center" class="vp-orange-text">Center</label>
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<select id="center" class="vp-select vp-state">
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<option value="mean">mean</option>
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<option value="median" selected>median</option>
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<option value="trimmed">trimmed</option>
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</select>
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</div>
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</div>
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</div>
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<div class="vp-grid-border-box">
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<label for="histogram">Display</label>
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<div class="vp-grid-box">
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<label><input type="checkbox" id="histogram" class="vp-state"><span>Histogram</span></label>
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</div>
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</div>
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</div>
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</body>

‎visualpython/html/m_stats/normTest.html

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<!--
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Project Name : Visual Python
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Description : GUI-based Python code generator
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File Name : normTest.html
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Author : Black Logic
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Note : normality test
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License : GNU GPLv3 with Visual Python special exception
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Date : 2023. 05. 16
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Change Date :
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-->
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<body>
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<div class="vp-grid-box">
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<select id="testType" class="vp-big-select vp-state">
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<option value="shapiro-wilk">Shapiro-Wilk test</option>
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<option value="anderson-darling">Anderson-Darling test</option>
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<option value="kolmogorov-smirnov">Kolmogorov-Smirnov test</option>
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<option value="dagostino-pearson">D'Agostino and Pearson's test</option>
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<option value="jarque-bera">Jarque-Bera test</option>
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</select>
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<div class="vp-grid-border-box">
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<div class="vp-grid-box vp-st-option-box">
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<div class="vp-grid-col-160">
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<label for="var0" class="vp-orange-text">Variable</label>
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<div class="vp-flex-gap5">
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<input type="text" id="var0" class="vp-state vp-input"/>
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</div>
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</div>
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<div class="vp-st-option kolmogorov-smirnov vp-grid-col-160">
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<label for="alterHypo" class="vp-orange-text">Alternative hypothesis</label>
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<select id="alterHypo" class="vp-select vp-state">
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<option value="two-sided" selected>two-sided</option>
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<option value="less">less</option>
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<option value="greater">greater</option>
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</select>
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</div>
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</div>
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</div>
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<div class="vp-grid-border-box">
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<label for="histogram">Display</label>
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<div class="vp-grid-box">
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<label><input type="checkbox" id="histogram" class="vp-state"><span>Histogram</span></label>
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<label><input type="checkbox" id="boxplot" class="vp-state"><span>Boxplot</span></label>
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<label><input type="checkbox" id="qqplot" class="vp-state" checked><span>Q-Q Plot</span></label>
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</div>
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</div>
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</div>
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</body>

‎visualpython/html/m_stats/probDist.html

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<!--
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Project Name : Visual Python
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Description : GUI-based Python code generator
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File Name : propDist.html
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Author : Black Logic
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Note : probability distribution
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License : GNU GPLv3 with Visual Python special exception
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Date : 2023. 05. 16
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Change Date :
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-->
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<body>
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<div class="vp-grid-box">
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<div class="vp-grid-border-box">
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<div class="vp-grid-col-160">
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<label for="distType" class="vp-orange-text">Probability distribution</label>
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<select id="distType" class="vp-select vp-state">
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</select>
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</div>
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<div class="vp-pd-dist-option-box vp-grid-col-160">
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</div>
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<div class="vp-grid-col-160">
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<label for="allocateTo" class="vp-orange-text">Allocate to</label>
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<input type="text" class="vp-input vp-state" id="allocateTo" placeholder="_res" />
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</div>
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</div>
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<div class="vp-grid-border-box">
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<label for="probMassFunc">Display</label>
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<div class="vp-grid-box">
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<label class="vp-pd-display-option dist cont"><input type="checkbox" id="probMassFunc" class="vp-state"><span>Probability mass function</span></label>
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<label class="vp-pd-display-option cont"><input type="checkbox" id="cumDistFunc" class="vp-state"><span>Cumulative distribution function</span></label>
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<label class="vp-pd-display-option dist cont"><input type="checkbox" id="sampledDist" class="vp-state" checked><span>Sampled distribution</span></label>
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</div>
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</div>
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</div>
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</body>

‎visualpython/html/m_stats/studentstTest.html

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<!--
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Project Name : Visual Python
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Description : GUI-based Python code generator
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File Name : studentstTest.html
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Author : Black Logic
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Note : student's t-test
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License : GNU GPLv3 with Visual Python special exception
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Date : 2023. 05. 16
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Change Date :
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-->
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<body>
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<div class="vp-grid-box">
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<select id="testType" class="vp-big-select vp-state">
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<option value="one-sample">One-sample t-test</option>
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<option value="two-sample">Independent two-sample t-test</option>
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<option value="paired-sample">Paired samples t-test</option>
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</select>
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<div class="vp-grid-border-box">
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<div class="vp-grid-box vp-st-option-box">
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<div class="vp-st-option one-sample vp-grid-box">
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<div class="vp-grid-col-160">
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<label for="var0" class="vp-orange-text">Variable</label>
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<div class="vp-flex-gap5">
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<input type="text" id="var0" class="vp-state vp-input"/>
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</div>
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<label for="testValue" class="vp-orange-text">Test value</label>
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<input type="number" id="testValue" class="vp-state vp-input"/>
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</div>
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<div>
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<label class="vp-orange-text vp-italic">NOTE:</label><label class="vp-gray-text vp-italic">Expected value in null hypothesis</label>
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</div>
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</div>
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<div class="vp-st-option two-sample paired-sample vp-grid-col-160">
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<label for="var1" class="vp-orange-text">Variable 1</label>
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<div class="vp-flex-gap5">
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<input type="text" id="var1" class="vp-state vp-input"/>
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</div>
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<label for="var2" class="vp-orange-text">Variable 2</label>
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<div class="vp-flex-gap5">
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<input type="text" id="var2" class="vp-state vp-input"/>
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</div>
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</div>
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<div class="vp-st-option one-sample two-sample paired-sample vp-grid-col-160">
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<label for="alterHypo" class="vp-orange-text">Alternative hypothesis</label>
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<select id="alterHypo" class="vp-select vp-state">
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<option value="two-sided" selected>two-sided</option>
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<option value="less">less</option>
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<option value="greater">greater</option>
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</select>
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</div>
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<div class="vp-st-option one-sample paired-sample vp-grid-col-160">
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<label for="confInt" class="vp-orange-text">Confidence interval</label>
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<div>
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<input type="number" id="confInt" class="vp-state vp-input" value="95"/> %
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</div>
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</div>
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</div>
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</div>
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</div>
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</body>

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