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

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.

chad should not have included the values (1, 2) and (3, 6) because that would mean he only had half a healing card.

check above link.

graphically?   well, you graph them both, the solutions is where they both intersect each other, since there are two solutions, meaning they will meet twice, or namely the linear will run into the quadratic curve twice, and where they meet, those x,y coordinates are the solutions to the system.