This item presents a short-answer question with no answer choices to evaluate, so there are no option-by-option analyses to perform. To determine P(X > 3), you need information about the distribution of X: - If X is discrete with a probability mass function, you sum the probabilities for all outcomes strictly greater than 3: P(X > 3) = ∑ P(X = x) for all x > 3. - If X is continuous with a cumulative distribution function F, you compute P(X > 3) = 1 − F(3). Without the underlying distribution (or sufficient data such as a table of P(X = x) or a specified CDF), you cannot compute or verify P(X > 3). If the given answer of 0.9 is intended to be correct, you would need a distribution where the tail beyond 3 sums to 0.9, and you would confirm by performing the appropriate summation or 1 − F(3) calculation using that distribution. In practice, when solving, follow these steps: - Identify whether X is discrete or continuous. - For discrete X, list all values greater than 3 and add their probabilities. - For continuous X, determine F(3) and subtract from 1. - If any conditional or truncated information applies, adjust the calculation accordingly (e.g., conditional probability, restricted support). If you can provide the distribution or additional context for X, I can walk through the exact calculation to verify whether P(X > 3) equals 0.9 or another value.

Questions

MTH2222 - 2225 - S1 2025 Quiz 1 - Due Week 3

Short answer

Find P(X > 3)

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Step-by-Step Analysis

This item presents a short-answer question with no answer choices to evaluate, so there are no option-by-option analyses to perform. To determine P(X > 3), you need information about the distribution of X: - If X is discrete with a probability mass function, you sum the pro......Login to view full explanation

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