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i{background:#e9a0a0}.forest-caption{border-top:0;margin-top:12px;padding-top:10px;display:flex;justify-content:space-between;font:10px DM Mono;color:#b7cfe1}.forest-caption strong{color:#efb3b3}@media(max-width:800px){.forest-host{width:calc(100% - 32px);margin-top:10px}.forest-head{display:block}.forest-head label{display:block;margin-top:12px}}.forest-row.forest-enter{animation:forest-rise .35s ease-out both}@keyframes forest-rise{0%{opacity:0;transform:translateY(18px)}to{opacity:1;transform:translateY(0)}}.forest-average{border-top:0;border-bottom:0;margin-bottom:8px;padding-block:4px;height:32px}.forest-average .forest-range{transition:left .25s ease,width .25s ease;height:5px;background:#e5b0b0;color:#e5b0b0}.forest-average .forest-range i{background:#f8e2e2}.forest-average-legend{font-size:11px;color:#e5b0b0;margin:-2px 0 10px}.forest-value{position:absolute;top:10px;font:9px DM Mono;color:#f4d0d0;white-space:nowrap;transform:translate(-50%)}.forest-value-low{left:0}.forest-value-estimate{top:-18px;color:#f8e2e2;font-weight:700}.forest-value-high{right:0;transform:translate(50%)}.forest-truth{transform:translate(28px)}.forest-rows{min-height:120px;padding-top:38px;padding-bottom:30px}.forest-row{height:48px}.forest-average{height:42px}.forest-average .forest-range{height:7px}.forest-average .forest-range:before,.forest-average .forest-range:after{top:-7px;height:21px}.forest-average .forest-range i{top:-8px;width:16px;height:16px}.forest-value{top:15px}.forest-value-estimate{top:-22px}.forest-rows{padding-left:0;padding-right:0}.forest-range{position:absolute}.forest-row>span{position:absolute;left:-20px}.forest-truth{transform:none}.forest-row.outside .forest-range{background:#e38a8a!important;color:#e38a8a!important;height:4px!important;box-shadow:0 0 0 2px #e38a8a33}.forest-row.outside .forest-range i{background:#f0b0b0!important;box-shadow:0 0 0 2px #fff2}.setup-card label,.result-controls label,.forest-head label{position:relative}.setup-card label:after,.result-controls label:after,.forest-head label:after{content:"?";display:inline-grid;place-items:center;width:15px;height:15px;margin-left:6px;border:1px solid #91b7cf;border-radius:50%;font-size:10px;color:#477fa8;cursor:help;vertical-align:middle}.setup-card label:after,.result-controls label:after,.forest-head label:after{position:absolute;right:0;top:0;margin:0}.setup-card label:hover:before,.setup-card label:focus-within:before,.result-controls label:hover:before,.result-controls label:focus-within:before,.forest-head label:hover:before,.forest-head label:focus-within:before{content:"Nastavení ovlivní průběh a výsledky simulace.";position:absolute;z-index:100000;left:0;top:calc(100% + 4px);width:220px;padding:9px 11px;background:#234f6a;color:#f4f8ef;border-radius:4px;font-size:11px;line-height:1.4;box-shadow:0 8px 18px #234f6a33;pointer-events:none}.setup-grid .setup-card:first-child label:nth-of-type(1):hover:before{content:"N určuje, kolik jednotek obsahuje celá známá populace. Větší populace lépe připomíná reálný svět, ale může vyžadovat více paměti."}.setup-grid .setup-card:nth-child(2) label:nth-of-type(1):hover:before{content:"n je počet jednotek v jednom výběru. Každý výběr má přesně tuto velikost a jednotky se do něj vybírají bez vracení."}.setup-grid .setup-card:nth-child(2) label:nth-of-type(2):hover:before{content:"Spolehlivost říká, jak často má metoda dlouhodobě zachytit skutečnou hodnotu. 95 % znamená, že přibližně 5 % jednotlivých intervalů může být mimo."}.setup-grid .setup-card:nth-child(2) label:nth-of-type(3):hover:before{content:"Jedna dávka je malá skupina opakovaných výběrů. Díky ní vidíte, že počet chybných intervalů se mezi dávkami přirozeně mění."}.setup-grid .setup-card:nth-child(2) label:nth-of-type(4):hover:before{content:"Počet dávek určuje, kolikrát experiment zopakujeme. Více dávek dává stabilnější obraz dlouhodobého chování."}.chart-card h3{display:flex;align-items:center;gap:7px}.chart-card h3:after{content:"?";display:inline-grid;place-items:center;width:15px;height:15px;border:1px solid #91b7cf;border-radius:50%;font-size:10px;color:#477fa8;cursor:help}.chart-card h3:hover:before{content:"Graf pomáhá porovnat výběry se skutečnou hodnotou populace.";position:absolute;z-index:8;width:280px;margin-top:42px;padding:10px 12px;background:#234f6a;color:#f4f8ef;border-radius:4px;font:11px/1.5 DM Sans;box-shadow:0 8px 18px #234f6a33}.plot-wrap .axis-label{cursor:help;font-weight:500}.kpi{position:relative;cursor:help}.kpi:after{content:"?";position:absolute;right:12px;top:10px;display:grid;place-items:center;width:15px;height:15px;border:1px solid #91b7cf;border-radius:50%;font-size:10px;color:#477fa8}.kpi:hover:before{content:"Tato karta shrnuje jednu důležitou vlastnost simulace.";position:absolute;z-index:8;left:10px;top:34px;width:220px;padding:10px 12px;background:#234f6a;color:#f4f8ef;border-radius:4px;font:11px/1.5 DM Sans;box-shadow:0 8px 18px #234f6a33}.kpi-grid .kpi:nth-child(1):hover:before{content:"Počet všech výběrů, které už simulace zpracovala. Je to počet dávek krát počet výběrů v jedné dávce."}.kpi-grid .kpi:nth-child(2):hover:before{content:"Kolik jednotlivých intervalů dosud nezahrnulo skutečnou populační hodnotu."}.kpi-grid .kpi:nth-child(3):hover:before{content:"Podíl chybných intervalů mezi všemi dokončenými výběry. Při spolehlivosti 95 % čekáme dlouhodobě přibližně 5 %."}.kpi-grid .kpi:nth-child(4):hover:before{content:"Hodnota, kterou známe z celé výukové populace a proti které porovnáváme výsledky náhodných výběrů."}.forest-host{margin-top:16px!important}.setup-grid .setup-card:nth-child(2) .field-grid label:nth-child(3){display:none}.setup-grid .setup-card:nth-child(2) .field-grid label:nth-child(4){font-size:0}.setup-grid .setup-card:nth-child(2) .field-grid label:nth-child(4):before{content:"Počet opakování R";font-size:12px;color:#38566c}.setup-grid .setup-card:nth-child(2) .field-grid label:nth-child(4) input{font-size:13px}.setup-grid .setup-card:nth-child(2) .field-grid:after{content:"Velikost vzorku n určuje přesnost jednoho odhadu: větší vzorek obvykle vytvoří užší interval. Počet opakování R určuje, jak stabilně změříme skutečné pokrytí: více opakování ukáže, zda se podíl chybných intervalů blíží α.";display:block;grid-column:1/-1;margin:6px 0 2px;padding:10px 12px;background:#edf4f8;border-left:3px solid #91b7cf;color:#607f91;font-size:11px;line-height:1.5}.setup-card label:has(input:hover):before,.setup-card label:has(select:hover):before{display:none!important}.chart-grid .chart-card:nth-child(1) h3:hover:before{content:"Každý sloupec ukazuje, jaké průměry vyšly v jednotlivých dávkách. Červená čára označuje skutečnou hodnotu v celé populaci. Sloupce by měly být kolem této čáry, ale kvůli náhodě se od ní budou trochu lišit."}.chart-grid .chart-card:nth-child(2) h3:hover:before{content:"Tady počítáme, kolik intervalů v jedné dávce minulo skutečnou hodnotu. Při 95% spolehlivosti čekáme dlouhodobě asi 5 % chybných intervalů — u 20 výběrů tedy přibližně jeden, ale někdy nula a jindy dva nebo více."}.chart-grid .chart-card:nth-child(3) h3:hover:before{content:"Konvergence ukazuje, jak se celkový podíl chybných intervalů mění s přibývajícími dávkami. Na začátku hodně kolísá. Čím více výběrů provedeme, tím více se obvykle přibližuje k očekávané hodnotě α, například 5 %. To je praktická ukázka zákona velkých čísel."}.forest-panel h3:hover:before{content:"Každý řádek je jeden výběr z této dávky. Úsečka je interval spolehlivosti a tečka je odhad z výběru. Přerušovaná svislá čára je skutečná populační hodnota. Oranžové řádky ji neobsahují."}.speed-control{display:flex;align-items:center;gap:8px;font-size:11px;color:#38566c;white-space:nowrap}.speed-control output{font-family:DM Mono,monospace;color:#2f6484;min-width:36px}.speed-control input[type=range]{width:110px;accent-color:#397ec1}.forest-toggle{display:flex;align-items:center;gap:6px;font-size:11px;color:#38566c;white-space:nowrap}.forest-toggle input{width:auto;margin:0;accent-color:#397ec1}.forest-host:not(:has(.forest-panel)){margin:0!important;height:0;overflow:hidden}.sampling-method select{display:block;width:100%;margin-top:6px}.sampling-method .method-help{margin:8px 0 0;padding:10px 12px;background:#edf4f8;border-left:3px solid #91b7cf;color:#607f91;font-size:11px;line-height:1.5}.sampling-callout{display:block;margin-top:10px;padding:10px 12px;background:#edf4f8;border-left:3px solid #91b7cf;color:#607f91;font-size:11px;line-height:1.5}.sampling-method .method-help,.sampling-callout{display:none}.setup-card label:hover:before,.setup-card label:focus-within:before,.result-controls label:hover:before,.result-controls label:focus-within:before,.forest-head label:hover:before,.forest-head label:focus-within:before,.card-kicker:hover:before,.chart-card h3:hover:before,.kpi:hover:before,.forest-panel h3:hover:before{display:none!important;content:none!important}.plot-wrap{position:relative;overflow:hidden!important}.plot-wrap svg{overflow:hidden!important;display:block}.plot-wrap.plot-expanded{position:fixed!important;overflow:visible!important}.tippy-box[data-animation=fade][data-state=hidden]{opacity:0}[data-tippy-root]{max-width:calc(100vw - 10px)}.tippy-box{position:relative;background-color:#333;color:#fff;border-radius:4px;font-size:14px;line-height:1.4;white-space:normal;outline:0;transition-property:transform,visibility,opacity}.tippy-box[data-placement^=top]>.tippy-arrow{bottom:0}.tippy-box[data-placement^=top]>.tippy-arrow:before{bottom:-7px;left:0;border-width:8px 8px 0;border-top-color:initial;transform-origin:center top}.tippy-box[data-placement^=bottom]>.tippy-arrow{top:0}.tippy-box[data-placement^=bottom]>.tippy-arrow:before{top:-7px;left:0;border-width:0 8px 8px;border-bottom-color:initial;transform-origin:center bottom}.tippy-box[data-placement^=left]>.tippy-arrow{right:0}.tippy-box[data-placement^=left]>.tippy-arrow:before{border-width:8px 0 8px 8px;border-left-color:initial;right:-7px;transform-origin:center left}.tippy-box[data-placement^=right]>.tippy-arrow{left:0}.tippy-box[data-placement^=right]>.tippy-arrow:before{left:-7px;border-width:8px 8px 8px 0;border-right-color:initial;transform-origin:center right}.tippy-box[data-inertia][data-state=visible]{transition-timing-function:cubic-bezier(.54,1.5,.38,1.11)}.tippy-arrow{width:16px;height:16px;color:#333}.tippy-arrow:before{content:"";position:absolute;border-color:transparent;border-style:solid}.tippy-content{position:relative;padding:5px 9px;z-index:1}.setup-card label:after,.result-controls label:after,.forest-head label:after,.card-kicker:after,.chart-card h3:after,.kpi:after{display:none!important}.real-help{position:static!important;display:inline-grid;place-items:center;width:16px;height:16px;padding:0;margin:0 0 0 6px;border:1px solid #91b7cf;border-radius:50%;background:transparent;color:#477fa8;font:10px DM Sans;cursor:help;vertical-align:middle}.real-help:focus-visible{outline:2px solid #c34e4e;outline-offset:2px}.tippy-box{font:11px/1.45 DM Sans;background:#234f6a;color:#f7fbfd}.tippy-arrow{color:#234f6a}.tippy-box[data-theme~=learning]{max-width:min(440px,calc(100vw - 24px))!important;background:#234f6a;color:#f7fbfd;font:13px/1.75 DM Sans,system-ui,sans-serif;box-shadow:0 10px 35px #234f6a40;border-radius:8px;text-align:left}.tippy-box[data-theme~=learning] .tippy-content{padding:18px 20px;max-height:min(520px,75vh);overflow-y:auto;overscroll-behavior:contain;scrollbar-width:thin;scrollbar-color:#91b7cf #234f6a}.learning-help-content{position:relative;letter-spacing:0;font-weight:400}.learning-help-title{display:block;color:#dcecf5;font-size:15px;line-height:1.5;padding-right:26px;margin-bottom:12px}.learning-help-content p{margin:0 0 12px;color:#f7fbfd}.learning-help-content p:last-child{margin-bottom:0}.learning-help-close{position:absolute;right:-8px;top:-8px;width:30px;height:30px;padding:0;border:1px solid #86aabd;border-radius:50%;background:#295b78;color:#fff;font:23px/1 DM Sans;cursor:pointer}.learning-help-close:focus-visible{outline:3px solid #e6c299;outline-offset:2px}@media(pointer:coarse){.tippy-box[data-theme~=learning]{font-size:14px}.learning-help-close{width:34px;height:34px}.tippy-box[data-theme~=learning] .tippy-content{padding:20px}}