シャドーイング練習: Grade 11: Conditional Probability - YouTubeで英語スピーキングを学ぶ
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probability is just about figuring out how likely something is to happen if you flip a coin there are
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probability is just about figuring out how likely something is to happen if you flip a coin there are
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two possible outcomes heads or tails each one has a one out of two chance so the probability of getting
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heads is one divided by two if you roll a dice and want a three you have one chance out
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of six so probability is always a number between zero and one where zero means impossible and
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one means it's guaranteed to happen this is a simple probability now comes the fun part called
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conditional probability imagine you have a bag with five red balls and five blue balls you close your eyes and
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pick one ball and it turns out to be red what was the probability of finding this red ball yes it's simple
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answer is five out of ten or one half because we have five red balls and five blue balls which means a total of ten balls now without putting it back you pick another ball
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what's the probability this next ball is also red it's no longer five out of ten because one red ball is already gone.
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Now there are four red balls and five blue balls left, which means nine balls in total.
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So your second pick depends on the first.
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This is a conditional probability where what happens next depends on what already happened.
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So in short, conditional probability is just regular probability.
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But you already know something, and you use that knowledge to update your chances.
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Awesome!
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So now that we understand what conditional probability means, let's explore the formula behind it.
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Picture a Venn diagram.
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Imagine two overlapping circles, one for event A, which tells that even A has occurred, and one for event B, which tells that even B has occurred.
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The overlapping area, or this region, represents the cases where both A and B happen together, and we call it as event A intersection with event B.
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Suppose you want find the chance of some event A happening, but you already know that another event B has happened.
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This means we are focusing only on the B circle, and inside that circle the overlapping area is the part that also has A.
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So the probability of A given B is just asking, out of everything in the B circle, how much is also in A?
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That's exactly what conditional probability means.
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Therefore, the formula will now be simple.
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The conditional probability of A given B, which we represent like this, is equal to the probability of both A and B happening together, divided by the probability of just B happening, and that's it.
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Now let's look at a super simple example.
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Imagine there are 100 students in a school.
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Out of them, 50 students play football.
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and out of those 50, 30 also play basketball.
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So, we know that 30 students play both football and basketball.
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Now, suppose someone says, Hey, I picked a student and I already know that the student plays football.
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So, what are the chances that the same student also plays basketball?
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Since we already know this student plays football, we're no longer thinking about all 100 students, and we're only focused on the 50 who play football.
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And out of those 50, 30 also play basketball.
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So the chance that this student plays basketball, given that they play football, is simply 30 divided by 50, which is 3 divided by 5, or 60%.
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So the answer is 60%.
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That's a clear example of conditional probability, where we use what we already know to figure out the chance of something else.
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Now let's look at how this fits into the actual formula.
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Let's call the event of playing basketball as event A and the event of playing football as event B.
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So the probability of both events A and B happening together, that is, a student who plays both basketball and football or P of A intersection B is 30 out of 100.
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That's the overlapping part in the Venn diagram.
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Now the probability of just event B, that is a student playing football, is 50 out of 100.
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So the conditional probability of A given B is simply the probability of both A and B divided by the probability of B.
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That's 30 divided 100 whole divided by 50 over 100, which gives us the same 3 out of 5 or 60 percent.
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This is how the formula works behind the scenes.
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Link is in the description.
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So good!
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Thank you.
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このレッスンでは、条件付き確率の基本概念を学びながら、英語のリスニングとスピーキングのスキルを向上させることを目的としています。条件付き確率は、ある事象が起きた時に別の事象がどのくらいの確率で起こるかを考える手法です。このレッスンを通じて、意外性のある確率の例や公式を理解し、英語での表現を豊かにすることができます。
重要な語彙とフレーズ
- 確率（Probability） - 何かが起きる可能性。
- 条件付き確率（Conditional Probability） - すでに起きた事象に基づく次の事象の確率。
- フェン図（Venn Diagram） - 二つの事象の関係を図示したもの。
- 交差（Intersection） - 二つの事象が同時に起こる場合。
- 分母（Denominator） - 確率計算における全体の数。
- シャドウイング（Shadowing） - リスニングスキルを高めるための練習法。
練習のコツ
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また、短いフレーズや例文を繰り返すことで、自信を持って発話できるようになるでしょう。shadowspeakを意識して、自分の声を発信する練習を重ねることで、自然な会話力が培われます。
シャドーイングとは？英語上達に効果的な理由
シャドーイング（Shadowing）は、もともとプロの通訳者養成プログラムで開発された言語学習法で、多言語習得者として知られるDr. Alexander Arguelles によって広く普及されました。方法はシンプルですが非常に効果的：ネイティブスピーカーの英語を聞きながら、1〜2秒の遅延で声に出してすぐに繰り返す——まるで「影（shadow）」のように話者を追いかけます。文法ドリルや受動的なリスニングと異なり、シャドーイングは脳と口の筋肉が同時にリアルタイムで英語を処理・再現することを強制します。研究により、発音精度、抑揚、リズム、連音、リスニング力、そして会話の流暢さが大幅に向上することが確認されています。IELTSスピーキング対策や自然な英語コミュニケーションを目指す方に特におすすめです。