c) Evidence in the trial of a guilty suspect is enough to convince 91 ​% of all jurors in the population that the suspect is guilty. What is the probability that a jury fails to convict the guilty​ suspect? The probability is 0.677525 . ​(Round to six decimal places as​ needed.) ​(d) What type of error is committed by the jury in part​ (c)? A. The error is a Type I error because the null hypothesis is not​ true, but the jury concluded that it is true. B. The error is a Type I error because the null hypothesis is​ true, but the jury concluded that it is not true. C. The error is a Type II error because the null hypothesis is​ true, but the jury concluded that it is not true. D. The error is a Type II error because the null hypothesis is not​ true, but the jury concluded that it is tru

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Answer:

Step-by-step explanation:

A type I error occurs when one rejects the null hypothesis when it is actually true.

A type II error occurs when one fails to reject the null hypothesis when it is false.

In this study, the null hypothesis is 91 ​% of all jurors in the population were convinced that the suspect is guilty this he is convicted.

Failure of the jury to then convict the guilty suspect results in a type I error: The error is a Type I error because the null hypothesis is​ true, but the jury concluded that it is not true.