(Gauss-Laplaceovo) Normální N(,2)
{"Image DocumentName": "(Gauss-Laplaceovo) Norm\u00e1ln\u00ed N(\uf06d,\uf0732)", "Image ImageDescription": "! Po\u010det bod\u016f z testu inteligence m\u00e1 norm\u00e1ln\u00ed rozd\u011blen\u00ed se st\u0159edn\u00ed hodnotou 100 a sm\u011brodatnou odchylkou 15. Jak\u00e1 je pravd\u011bpodobnost z\u00edsk\u00e1n\u00ed v\u00edce jak 125 bod\u016f? Parametry: \u03bc = 100 \u03c32 = 152 = 225 N\u00e1hodn\u00e1 veli\u010dina m\u00e1 norm\u00e1ln\u00ed rozd\u011blen\u00ed N(100; 225). \u0158e\u0161en\u00ed: P(X>125) = 1- P(X\u2264125) = 1 \u2013 F(125) MS Excel: = 1 - NORMDIST (125; 100; 15; 1) V\u00fdsledek: P(X>125) = 1 \u2013 0,952 = 0,048. Pravd\u011bpodobnost z\u00edsk\u00e1n\u00ed v\u00edce ne\u017e 125 bod\u016f je 4,8 %. Pozn. Proto\u017ee P(X=125) = 0, pak P(X>125) = 1- P(X\u2264125) =1- P(X<125).", "Image XResolution": "37", "Image YResolution": "37", "Image ResolutionUnit": "Pixels/Centimeter", "Image Software": "SlidePlayer", "Image YCbCrPositioning": "Centered"}