Suppose that you are the principal of a high school. A teacherbrings you a student saying that he had a fight with anotherstudent, and the student punched the other...

Describe the actions that would result in a type I error and a type II error if each of the following null hypotheses were tested. (Remember, the alternative hypothesis is the negation of the null hypothesis.) a. $\quad H_{o}:$ The majority of Americans favor laws against assault weapons. b. $\quad H_{o}:$ The choices on the fast food menu are not low in salt. c. $\quad H_{o}:$ This building must not be demolished. d. $\quad H_{o}:$ There is no waste in government spending.

This question looks back at an example 8.11 with the null hypothesis that I've written out there. So teaching methods have no significant effect on the students exam scores and were asked to describe the actions that results in a type one and type two error. So with a type one error, we're looking at a case where the no hypothesis is true, but we rejected it. So if the no Apple says is true, it does mean that teaching methods have no effect on student examples. But we rejected it, which means that we concluded that the teaching methods do have a significant effect. So it means here that we would change taking methods, but they would have no effect. And in a talk to you this case, the null hypothesis is fucked, which would mean that teaching methods have a significant effect. Uh, because it's a talk to ever. We, um, failed to reject it. So we concluded that teaching methods have no significant effect. So no change in teaching methods when it would have had an effect well, in the schools. So you can see in this instance the Time Warner error

Uh huh. We want to translate the given sentence into a null and alternative hypothesis and everyone explain what making the type one and type two error in this context means this question is challenge your understanding of the language of hypothesis testing. So first and foremost, the three the sentence It says, the mean price of a single family home in October 2003 was 243,756 are real estate Broker believes that because of changes in interest rates as well as our economic factors, the mean price has increased in staff. So to extract H not we extract with the original mean was and to extract H. A. We extract how the real estate broker thinks the price has changed. So that means it's not mu equals to 43756 H. AmY was greater than 243756 Next part B. We explained making the table error means remember that a type one error occurs when we rejected the hypothesis, even though it's true. That means if we reject H not that new equals to 43756 Even though it is true, we're making a table in our finally explain what making it to area means. A Type two error occurs when we do not reject H. Not even though H. A. Is true, So in this context that would be we do not reject H. Not even though H. A. B was greater than 243756 is true.

All right. According to the CDC, the Center for Disease Control and Prevention, 16% of Children aged six and over to 11 years are overweight. A school nurse thinks that the percentage of 6 to 11 year olds who are overweight is higher at her school district for this scent of it. We are guys there A through C. This question is challenging and no understanding of the language of hypothesis testing. First to determine H. And R. N. H. A. We have to determine what the current understood percentage or proportion for 6 to 11 years old that are overweight is. And then we need to understand for H. A. The direction that the school nurse things District changes it. That we have not P. Equals 110.16 H. A. P. Is greater than 0.16 Next we explain what we can to take whatever means. I'll tell you whatever occurs when we reject H. And even though it's true, So that would mean we reject H. P. Equals 0.16 even though it's true. Finally, we explain what making a type two other means. A Type two error occurs when we do not reject H. One H is true, which means that we do not reject or accept it even though he greater than 1.16 is true for this nursing school district.

In 2004, the standard deviation of the S. A. T. Bath score for all students. To the example of 100 14, I think you believe that dude changes to the S. A. T reasoning test in 2000 and five, the standard deviation of the S. A. T. Math scores will increase based on this information. One answer a pc which evaluate our knowledge of the language hypothesis testing. So first you wanna determination on H. A. For this, we have an HR is signal equal to one of the 14. Standard deviation is equal to the current standard deviation or the currently understood one. H. A sigma is greater 114 hypothesis that the teacher has about how it will change next. We explain it, making the type, whatever means, remember that a type one error occurs when we reject H dot, even what it's true, What that reason this project is that we reject the fact that singer equals 1 14, even though it's true. Finally, we expect making a Type two error means a Type two error occurs when we do not reject H not one age. It's true, which in this context would mean we do not reject H. Not even though sigma is greater than 1 14 is true. The notion had a hunch is correct.