Question

In: Statistics and Probability

New ultra-sound2 device designed to detect the presence of a metallic-object in a wooden enclosure is...

New ultra-sound2 device designed to detect the presence of a metallic-object in a wooden enclosure is used for a pilot test. During trial, 281 wooden enclosures were truly embedded with marked metallic-object. The other 252 wooden enclosures were intentionally NOT enclosures with any metallic-object.

As the pilot test runs were conducted, the ultra-sound2 device detected 102 positive wooden enclosures truly embedded metallic-object out of the 281 wooden subjects truly embedded with metallic-object. Also, out of the other 252 (control) wooden enclosures NOT embedded with metallic-object the ultra-sound2 device did NOT pick up any metallic-object but showed negative in 172 runs.

  1. After showing your table, step by step, construct a 90% confidence interval for the ultra-sound2 device selectivity.
  2. Also, construct a 95% confidence interval for the ultra-sound2 device, sensitivity

Solutions

Expert Solution

(i) The 90% confidence interval for the ultra-sound2 device selectivity is between -0.387 and -0.2521.

p1 p2 pc
0.363 0.6825 0.5141 p (as decimal)
102/281 172/252 274/533 p (as fraction)
102. 172. 274. X
281 252 533 n
-0.3196 difference
0. hypothesized difference
0.0434 std. error
-0.387 confidence interval 90.% lower
-0.2521 confidence interval 90.% upper
0.0675 margin of error

(ii) The 95% confidence interval for the ultra-sound2 device selectivity is between -0.3999 and -0.2392.

p1 p2 pc
0.363 0.6825 0.5141 p (as decimal)
102/281 172/252 274/533 p (as fraction)
102. 172. 274. X
281 252 533 n
-0.3196 difference
0. hypothesized difference
0.0434 std. error
-0.3999 confidence interval 95.% lower
-0.2392 confidence interval 95.% upper
0.0804 margin of error

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