QUESTION IMAGE
Question
find ( p(y|b) ) from the information in the table.
to the nearest tenth, what is the value of ( p(y|b) )?
| x | y | z | total | |
|---|---|---|---|---|
| b | 6 | 34 | 45 | 85 |
| c | 23 | 56 | 32 | 111 |
| total | 37 | 170 | 117 | 324 |
\\( \bigcirc \\) 0.2
\\( \bigcirc \\) 0.3
\\( \bigcirc \\) 0.4
\\( \bigcirc \\) 0.5
Step1: Recall Conditional Probability Formula
The formula for conditional probability is \( P(Y|B) = \frac{P(Y \cap B)}{P(B)} \). For a contingency table, \( P(Y \cap B) \) is the number of occurrences of both \( Y \) and \( B \) divided by the total number of observations, and \( P(B) \) is the number of occurrences of \( B \) divided by the total number of observations. So, \( P(Y|B) = \frac{\text{Number of } Y \text{ and } B}{\text{Number of } B} \).
Step2: Identify Values from Table
From the table, the number of observations where both \( Y \) and \( B \) occur is 34 (the cell at row \( B \) and column \( Y \)). The number of observations for \( B \) (the total of row \( B \)) is 85.
Step3: Calculate the Probability
Substitute the values into the formula: \( P(Y|B) = \frac{34}{85} \). Simplify the fraction: \( \frac{34 \div 17}{85 \div 17} = \frac{2}{5} = 0.4 \).
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0.4