Questions: 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.
Solution
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:
\[
\boxed{0.1267}
\]