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3.6 : Examen de la formule des chapitres
https://query.libretexts.org/Francais/Livre_%3A_Statistiques_commerciales_(OpenStax)/03%3A_Sujets_de_probabilit%C3%A9/3.06%3A_Examen_de_la_formule_des_chapitres
3.1 Terminologie A et B sont des événements $P(S) = 1$ où se $S$ trouve l'espace d'échantillonnage $0 ≤ P(A) ≤ 1$ $P(A | B)=\frac{P(A \cap B)}{P(B)}$ 3.2 Événements indépendants et mutuellement ...3.1 Terminologie A et B sont des événements $P(S) = 1$ où se $S$ trouve l'espace d'échantillonnage $0 ≤ P(A) ≤ 1$ $P(A | B)=\frac{P(A \cap B)}{P(B)}$ 3.2 Événements indépendants et mutuellement exclusifs $\text {If } A \text { and } B \text { are independent, } P(A \cap B)=P(A) P(B), P(A | B)=P(A) \text { and } P(B | A)=P(B)$ $\text {If } A \text { and } B \text { are mutually exclusive, } P(A \cup B)=P(A)+P(B) \text { and } P(A \cap B)=0$ 3.3 Deux règles de base de probabilité La règ…
3.6: Sura ya Tathmini ya Mfumo
https://query.libretexts.org/Kiswahili/Kitabu%3A_Takwimu_za_Biashara_(OpenStax)/03%3A_Mada_ya_uwezekano/3.06%3A_Sura_ya_Tathmini_ya_Mfumo
3.1 Istilahi A na B ni matukio $P(S) = 1$ $S$ wapi nafasi ya sampuli $0 ≤ P(A) ≤ 1$ $P(A | B)=\frac{P(A \cap B)}{P(B)}$ 3.2 Matukio ya kujitegemea na ya kipekee \(\text {If } A \text { and } B \...3.1 Istilahi A na B ni matukio $P(S) = 1$ $S$ wapi nafasi ya sampuli $0 ≤ P(A) ≤ 1$ $P(A | B)=\frac{P(A \cap B)}{P(B)}$ 3.2 Matukio ya kujitegemea na ya kipekee $\text {If } A \text { and } B \text { are independent, } P(A \cap B)=P(A) P(B), P(A | B)=P(A) \text { and } P(B | A)=P(B)$ $\text {If } A \text { and } B \text { are mutually exclusive, } P(A \cup B)=P(A)+P(B) \text { and } P(A \cap B)=0$ 3.3 Kanuni mbili za Msingi za Uwezekano Utawala wa kuzidisha:\(P(A \cap B) = P(A|B)P(B)\…
3.6: Revisão da fórmula do capítulo
https://query.libretexts.org/Idioma_Portugues/Livro%3A_Estatisticas_de_negocios_(OpenStax)/03%3A_T%C3%B3picos_de_probabilidade/3.06%3A_Revis%C3%A3o_da_f%C3%B3rmula_do_cap%C3%ADtulo
3.1 Terminologia A e B são eventos $P(S) = 1$ onde $S$ está o espaço amostral $0 ≤ P(A) ≤ 1$ $P(A | B)=\frac{P(A \cap B)}{P(B)}$ 3.2 Eventos independentes e mutuamente exclusivos \(\text {If } A...3.1 Terminologia A e B são eventos $P(S) = 1$ onde $S$ está o espaço amostral $0 ≤ P(A) ≤ 1$ $P(A | B)=\frac{P(A \cap B)}{P(B)}$ 3.2 Eventos independentes e mutuamente exclusivos $\text {If } A \text { and } B \text { are independent, } P(A \cap B)=P(A) P(B), P(A | B)=P(A) \text { and } P(B | A)=P(B)$ $\text {If } A \text { and } B \text { are mutually exclusive, } P(A \cup B)=P(A)+P(B) \text { and } P(A \cap B)=0$ 3.3 Duas regras básicas de probabilidade A regra de multiplicação:\(P(…
3.6: 章节公式回顾
https://query.libretexts.org/%E7%AE%80%E4%BD%93%E4%B8%AD%E6%96%87/%E5%9B%BE%E4%B9%A6%EF%BC%9A%E5%95%86%E4%B8%9A%E7%BB%9F%E8%AE%A1_(OpenStax)/03%3A_3%EF%BC%9A%E6%A6%82%E7%8E%87%E8%AF%9D%E9%A2%98/3.06%3A_%E7%AB%A0%E8%8A%82%E5%85%AC%E5%BC%8F%E5%9B%9E%E9%A1%BE
3.1 术语 A 和 B 是事件 $P(S) = 1$ 样本空间在哪里 $S$ $0 ≤ P(A) ≤ 1$ $P(A | B)=\frac{P(A \cap B)}{P(B)}$ 3.2 独立和互斥的事件 \(\text {If } A \text { and } B \text { are independent, } P(A \cap B)=P(A) P(B), P(A | B)...3.1 术语 A 和 B 是事件 $P(S) = 1$ 样本空间在哪里 $S$ $0 ≤ P(A) ≤ 1$ $P(A | B)=\frac{P(A \cap B)}{P(B)}$ 3.2 独立和互斥的事件 $\text {If } A \text { and } B \text { are independent, } P(A \cap B)=P(A) P(B), P(A | B)=P(A) \text { and } P(B | A)=P(B)$ $\text {If } A \text { and } B \text { are mutually exclusive, } P(A \cup B)=P(A)+P(B) \text { and } P(A \cap B)=0$ 3.3 概率的两个基本规则乘法规则： $P(A \cap B) = P(A|B)P(B)$ 加法规则： $P(A \cup B) = P(A) + P(B) - P(A \cap B)$
3.6: مراجعة صيغة الفصل
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3.1 المصطلحات أحداث A و B هي $P(S) = 1$ $S$ أين مساحة العينة $0 ≤ P(A) ≤ 1$ $P(A | B)=\frac{P(A \cap B)}{P(B)}$ 3.2 أحداث مستقلة وحصرية للطرفين \(\text {If } A \text { and } B \text { are indepe...3.1 المصطلحات أحداث A و B هي $P(S) = 1$ $S$ أين مساحة العينة $0 ≤ P(A) ≤ 1$ $P(A | B)=\frac{P(A \cap B)}{P(B)}$ 3.2 أحداث مستقلة وحصرية للطرفين $\text {If } A \text { and } B \text { are independent, } P(A \cap B)=P(A) P(B), P(A | B)=P(A) \text { and } P(B | A)=P(B)$ $\text {If } A \text { and } B \text { are mutually exclusive, } P(A \cup B)=P(A)+P(B) \text { and } P(A \cap B)=0$ 3.3 قاعدتان أساسيتان للاحتمال قاعدة الضرب: $P(A \cap B) = P(A|B)P(B)$ قاعدة الإضافة:\(P(A \cup B) = P(A)…