(d) What is the probability that a second opinion results in a change in diagnosis or a change in treatment?
0.426
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In an article that appears on a website, I Cartton Gunn, a public defender in Seattle, Washington, wrote about how he uses statistics in his work as an attorney. He itates the fullowing.
Define the following events as given below.
\[
\begin{array}{l}
T D=\text { event that the test result is dirty } \\
T C=\text { event that the test result is clean } \\
D=\text { event that the person tested is actually dirty } \\
C=\text { event that the person tested is actually clean }
\end{array}
\]
(a) Using the information in the quote, compute the following values.
(i) \( P(T D \mid D) \)
\( \square \)
(i) \( P(T D \mid C) \)
0.01
(ii) \( P(C) \)
0.99
(iv) \( P(D) \)
\( \square \)
(b) Use the probabilities from part (a) to construct a hypothetical 1,000 table. (Round your answers to the nearest integec.)