Which of these statements is not true for a researcher who is using standard statistical methods in
a test of significance?

A. A researcher who rejects a true null hypothesis has committed a Type I error.

B. A researcher who rejects the null hypothesis has computed a test statistic that is large in
absolute value.

C. A researcher who rejects the null hypothesis has computed a P-value that is large in value.

D. When the null hypothesis is true, the probability of making a Type I error is equal to the
significance level.

E. Increasing the sample size has no effect on the probability of making a Type I error.

30 points! here is a you are the new manager at trusty goods wholesale produce. you need to figure out how to adjust the amount of produce in your notes after the events of the day: you got 5 more crates of bananas someone returned 2 crates of apples a worker dropped a crate of grapes (oh no! , you had to throw them out) you sold a crate of bananas you sold 5 crates of apples can you write an expression to describe your day using: "a" for crates of apples "b" for crates of bananas and "g" for crates of grapes? make sure the expression is in simplest form question 2 (3 points) explain your steps using sentences.