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Statistics Cookbook

Barebones introduction to statistical data analysis techniques, aimed at undergraduates doing research for the first time. This material in no way substitutes for a proper course, but hopefully provides enough to get started.

Contents

  • Basic model fitting: just enough to get started with maximum likelihood methods for fitting model parameters, finding confidence intervals, evaluating goodness of fit, and comparing competing models.

Avoiding git conflicts

Before running git pull to update anything:

  • Run git status to list any locally modified files.
  • For each modified file,
    • if you want to keep your local changes,
      • make a copy, e.g. cp thisFile.ipynb thisFile_mine.ipynb;
    • run git checkout -- thisFile.ipynb.

Now it should be safe to git pull.

(Some) other resources

Author

Adam Mantz. Any errors or unnecessary snarkiness is his fault.

License

All materials Copyright 2020 the authors.

Unless otherwise noted, all content is licensed under Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0).

About

Short introductory lessons on statistical data analysis

Resources

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3 stars

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4 watching

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
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Statistics Cookbook

Barebones introduction to statistical data analysis techniques, aimed at undergraduates doing research for the first time. This material in no way substitutes for a proper course, but hopefully provides enough to get started.

Contents

  • Basic model fitting: just enough to get started with maximum likelihood methods for fitting model parameters, finding confidence intervals, evaluating goodness of fit, and comparing competing models.

Avoiding git conflicts

Before running git pull to update anything:

  • Run git status to list any locally modified files.
  • For each modified file,
    • if you want to keep your local changes,
      • make a copy, e.g. cp thisFile.ipynb thisFile_mine.ipynb;
    • run git checkout -- thisFile.ipynb.

Now it should be safe to git pull.

(Some) other resources

Author

Adam Mantz. Any errors or unnecessary snarkiness is his fault.

License

All materials Copyright 2020 the authors.

Unless otherwise noted, all content is licensed under Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0).

About

Short introductory lessons on statistical data analysis

Resources

Stars

3 stars

Watchers

4 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Statistics Cookbook

Barebones introduction to statistical data analysis techniques, aimed at undergraduates doing research for the first time. This material in no way substitutes for a proper course, but hopefully provides enough to get started.

Contents

  • Basic model fitting: just enough to get started with maximum likelihood methods for fitting model parameters, finding confidence intervals, evaluating goodness of fit, and comparing competing models.

Avoiding git conflicts

Before running git pull to update anything:

  • Run git status to list any locally modified files.
  • For each modified file,
    • if you want to keep your local changes,
      • make a copy, e.g. cp thisFile.ipynb thisFile_mine.ipynb;
    • run git checkout -- thisFile.ipynb.

Now it should be safe to git pull.

(Some) other resources

Author

Adam Mantz. Any errors or unnecessary snarkiness is his fault.

License

All materials Copyright 2020 the authors.

Unless otherwise noted, all content is licensed under Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0).

About

Short introductory lessons on statistical data analysis

Resources

Stars

3 stars

Watchers

4 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Statistics Cookbook

Barebones introduction to statistical data analysis techniques, aimed at undergraduates doing research for the first time. This material in no way substitutes for a proper course, but hopefully provides enough to get started.

Contents

  • Basic model fitting: just enough to get started with maximum likelihood methods for fitting model parameters, finding confidence intervals, evaluating goodness of fit, and comparing competing models.

Avoiding git conflicts

Before running git pull to update anything:

  • Run git status to list any locally modified files.
  • For each modified file,
    • if you want to keep your local changes,
      • make a copy, e.g. cp thisFile.ipynb thisFile_mine.ipynb;
    • run git checkout -- thisFile.ipynb.

Now it should be safe to git pull.

(Some) other resources

Author

Adam Mantz. Any errors or unnecessary snarkiness is his fault.

License

All materials Copyright 2020 the authors.

Unless otherwise noted, all content is licensed under Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0).

About

Short introductory lessons on statistical data analysis

Resources

Stars

3 stars

Watchers

4 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
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Statistics Cookbook

Barebones introduction to statistical data analysis techniques, aimed at undergraduates doing research for the first time. This material in no way substitutes for a proper course, but hopefully provides enough to get started.

Contents

  • Basic model fitting: just enough to get started with maximum likelihood methods for fitting model parameters, finding confidence intervals, evaluating goodness of fit, and comparing competing models.

Avoiding git conflicts

Before running git pull to update anything:

  • Run git status to list any locally modified files.
  • For each modified file,
    • if you want to keep your local changes,
      • make a copy, e.g. cp thisFile.ipynb thisFile_mine.ipynb;
    • run git checkout -- thisFile.ipynb.

Now it should be safe to git pull.

(Some) other resources

Author

Adam Mantz. Any errors or unnecessary snarkiness is his fault.

License

All materials Copyright 2020 the authors.

Unless otherwise noted, all content is licensed under Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0).

About

Short introductory lessons on statistical data analysis

Resources

Stars

3 stars

Watchers

4 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Statistics Cookbook

Barebones introduction to statistical data analysis techniques, aimed at undergraduates doing research for the first time. This material in no way substitutes for a proper course, but hopefully provides enough to get started.

Contents

  • Basic model fitting: just enough to get started with maximum likelihood methods for fitting model parameters, finding confidence intervals, evaluating goodness of fit, and comparing competing models.

Avoiding git conflicts

Before running git pull to update anything:

  • Run git status to list any locally modified files.
  • For each modified file,
    • if you want to keep your local changes,
      • make a copy, e.g. cp thisFile.ipynb thisFile_mine.ipynb;
    • run git checkout -- thisFile.ipynb.

Now it should be safe to git pull.

(Some) other resources

Author

Adam Mantz. Any errors or unnecessary snarkiness is his fault.

License

All materials Copyright 2020 the authors.

Unless otherwise noted, all content is licensed under Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0).

About

Short introductory lessons on statistical data analysis

Resources

Stars

3 stars

Watchers

4 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Statistics Cookbook

Barebones introduction to statistical data analysis techniques, aimed at undergraduates doing research for the first time. This material in no way substitutes for a proper course, but hopefully provides enough to get started.

Contents

  • Basic model fitting: just enough to get started with maximum likelihood methods for fitting model parameters, finding confidence intervals, evaluating goodness of fit, and comparing competing models.

Avoiding git conflicts

Before running git pull to update anything:

  • Run git status to list any locally modified files.
  • For each modified file,
    • if you want to keep your local changes,
      • make a copy, e.g. cp thisFile.ipynb thisFile_mine.ipynb;
    • run git checkout -- thisFile.ipynb.

Now it should be safe to git pull.

(Some) other resources

Author

Adam Mantz. Any errors or unnecessary snarkiness is his fault.

License

All materials Copyright 2020 the authors.

Unless otherwise noted, all content is licensed under Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0).

About

Short introductory lessons on statistical data analysis

Resources

Stars

3 stars

Watchers

4 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
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Statistics Cookbook

Barebones introduction to statistical data analysis techniques, aimed at undergraduates doing research for the first time. This material in no way substitutes for a proper course, but hopefully provides enough to get started.

Contents

  • Basic model fitting: just enough to get started with maximum likelihood methods for fitting model parameters, finding confidence intervals, evaluating goodness of fit, and comparing competing models.

Avoiding git conflicts

Before running git pull to update anything:

  • Run git status to list any locally modified files.
  • For each modified file,
    • if you want to keep your local changes,
      • make a copy, e.g. cp thisFile.ipynb thisFile_mine.ipynb;
    • run git checkout -- thisFile.ipynb.

Now it should be safe to git pull.

(Some) other resources

Author

Adam Mantz. Any errors or unnecessary snarkiness is his fault.

License

All materials Copyright 2020 the authors.

Unless otherwise noted, all content is licensed under Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0).

About

Short introductory lessons on statistical data analysis

Resources

Stars

3 stars

Watchers

4 watching

Forks

Releases

Packages

Contributors

Languages