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CS70: Satish Rao: Administration. 1. Midterm grades on glookup. 2. Curve according to department guidelines. (Google “grading policy berkeley”.) 3. Extra credit really extra. (Set curve then add extra credit.) 4. Solutions. Working on them... 5. Some don’t have course account!!

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CS70: Satish Rao: Administration. 1. Midterm grades on glookup. 2. Curve according to department guidelines. (Google “grading policy berkeley”.) 3. Extra credit really extra. (Set curve then add extra credit.) 4. Solutions. Working on them... 5. Some don’t have course account!! I Don’t be scared.
CS70: Satish Rao: Administration. 1. Midterm grades on glookup. 2. Curve according to department guidelines. (Google “grading policy berkeley”.) 3. Extra credit really extra. (Set curve then add extra credit.) 4. Solutions. Working on them... 5. Some don’t have course account!! I Don’t be scared. I I don’t bite.

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CS70: Satish Rao: Administration. 1. Midterm grades on glookup. 2. Curve according to department guidelines. (Google “grading policy berkeley”.) 3. Extra credit really extra. (Set curve then add extra credit.) 4. Solutions. Working on them... 5. Some don’t have course account!! I Don’t be scared. I I don’t bite. I Come get account form or get help with registering.
CS70: Satish Rao: Lecture 19. 1. Conditional Probability. 2. Bayes Rule. 3. Total Probability Rule. 4. Examples. 5. Independence definition.

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Recall example. Two coin flips.
Recall example. Two coin flips. First flip is heads.

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Recall example. Two coin flips. First flip is heads. Probability of two heads?
Recall example. Two coin flips. First flip is heads. Probability of two heads? Ω = { HH , HT , TH , TT }

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Recall example. Two coin flips. First flip is heads. Probability of two heads? Ω = { HH , HT , TH , TT } Uniform probability space.
Recall example. Two coin flips. First flip is heads. Probability of two heads? Ω = { HH , HT , TH , TT } Uniform probability space. Event A = first flip is heads.

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Recall example. Two coin flips. First flip is heads. Probability of two heads? Ω = { HH , HT , TH , TT } Uniform probability space. Event A = first flip is heads. A = { HH , HT } .
Recall example. Two coin flips. First flip is heads. Probability of two heads? Ω = { HH , HT , TH , TT } Uniform probability space. Event A = first flip is heads. A = { HH , HT } . New Sample Space!

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Recall example. Two coin flips. First flip is heads. Probability of two heads? Ω = { HH , HT , TH , TT } Uniform probability space. Event A = first flip is heads. A = { HH , HT } . New Sample Space! Uniform still.
Recall example. Two coin flips. First flip is heads. Probability of two heads? Ω = { HH , HT , TH , TT } Uniform probability space. Event A = first flip is heads. A = { HH , HT } . New Sample Space! Uniform still. Event B = two heads.

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Recall example. Two coin flips. First flip is heads. Probability of two heads? Ω = { HH , HT , TH , TT } Uniform probability space. Event A = first flip is heads. A = { HH , HT } . New Sample Space! Uniform still.
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