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Trigonometri: Aturan Sinus, Cosinus, dan Luas Segitiga

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Quiz 1   Fullscreen Mode Trigonometri: Aturan Sin, Cos, dan Luas Segitiga Trigonometri: Aturan Sin, Cos, dan Luas Segitiga 1. Aturan Sinus Aturan sinus digunakan untuk menghitung sisi atau sudut dalam segitiga, dengan syarat terdapat minimal satu pasang sisi dan sudut yang berhadapan. Rumus: \[ \frac{a}{\sin A} = \frac{b}{\sin B} = \frac{c}{\sin C} \] Contoh: Diketahui ∆ABC dengan BC = 10 cm, AC = 20 cm, dan ∠BAC = 30°. Hitunglah ∠BCA. Solusi: \[ \frac{\sin B}{b} = \frac{\sin A}{a} \] \[ \sin B = \frac{20 \cdot \sin 30°}{10} = 1 \] Maka ∠BCA = 60°. 2. Aturan Cosinus Aturan cosinus digunakan untuk menghitung sisi atau sudut, terutama ketika diketahui dua sisi dan sudut di antaranya, atau semua sisi segitiga. Rumus: \[ a^2 = b^2 + c^2 - 2bc \cdot \cos A \] \[ b^2 = a^2 + c^2 - 2ac \cdot \cos B \] ...
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Radioactivity

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Audio Podcast Quiz 1:   Fullscreen Mode Quiz 2:   Fullscreen Mode Other note 1 source Other note 2 source  5.2.1 Detection of radioactivity ## Radioactivity Detection Radioactivity is the process of releasing radiation from an unstable atomic nucleus. We are all exposed to radiation from various sources every day. Let's discuss some important things about radioactivity: ## Background Radiation Sources Background radiation comes from a variety of sources, both natural and artificial: - Cosmic rays from the sun - Radon gas in the air - Radon-containing granite rocks - Potassium-40 in food - Medical procedures that use radioisotopes - Nuclear power plants and the rest of the nuclear bomb tests ## Ionization Effect Radiation can cause ionization, which is the process of releasing electrons from atoms or molecules. This can be evidenced by: Electroscope Experiments: - When a fire or radium source is brought close to a charged electroscope, the charge is los...
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SAMPLING - Theory & Formulas

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Other note source 📊 SAMPLING - Theory & Formulas Cambridge AS & A Level Mathematics 📖 Part 1: Introduction to Sampling Key Definitions Population: Complete set of ALL items of interest Sample: Part of the population (size = n) Representative Sample: Accurately reflects population characteristics Biased Sample: Does NOT properly represent population Random Sample: ALL possible samples of size n have equal probability of selection 💡 Why Use Samples? Reason Example 💰 Cost-Effective Test 50 products vs 10,000 ⏰ Time-Saving Survey 100 people vs millions 🔨 Destructive Testing Crash testing helmets 🌍 Impossible to Survey All All fish in the ocean 🎲 Random Sampling Methods Using Random Number Tables: Number population: 000 to 499 (for 500 items) Pick starting point in table Read digits matching your numbering Ignore numbers outside range Ignore repeats Using Excel: =RAN...
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