Questions: When n=19, the probability P(t>1.18)=[?] Round to the nearest ten-thousandth.

When n=19, the probability

P(t>1.18)=[?]

Round to the nearest ten-thousandth.
Transcript text: When $\mathrm{n}=19$, the probability \[ \mathrm{P}(\mathrm{t}>1.18)=[?] \] Round to the nearest ten-thousandth.
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Solution

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Solution Steps

To find the probability \( \mathrm{P}(\mathrm{t}>1.18) \) when \( \mathrm{n}=19 \), we need to use the t-distribution. The degrees of freedom for the t-distribution is \( \mathrm{n} - 1 \). We will use a statistical library in Python to calculate the cumulative distribution function (CDF) for the t-distribution and then subtract it from 1 to find the probability that \( \mathrm{t} > 1.18 \).

Step 1: Determine Degrees of Freedom

Given \( n = 19 \), the degrees of freedom for the t-distribution is calculated as: \[ \text{df} = n - 1 = 19 - 1 = 18 \]

Step 2: Calculate Cumulative Probability

The cumulative probability for \( t \leq 1.18 \) with 18 degrees of freedom is: \[ \text{CDF}(1.18, 18) \approx 0.8733 \]

Step 3: Calculate Probability for \( t > 1.18 \)

The probability that \( t > 1.18 \) is the complement of the cumulative probability: \[ P(t > 1.18) = 1 - \text{CDF}(1.18, 18) \approx 1 - 0.8733 = 0.1267 \]

Final Answer

The probability that \( t > 1.18 \) when \( n = 19 \) is: \[ \boxed{0.1267} \]

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