<u>Answer:</u>
<u>Null hypothesis: Policy B remains more effective than policy A.</u>
<u>Alternate hypothesis: Policy A is more effective than policy B.</u>
<u>Step-by-step explanation:</u>
Remember, a hypothesis is a usually tentative (temporary until tested) assumption about two variables– independent and the dependent variable.
We have two types of hypothesis errors:
1. A type I error occurs when the null hypothesis (H0) is wrongly rejected.
That is, rejecting the assumption that policy B remains more effective than policy A when it is <em>actually true.</em>
2. A type II error occurs when the null hypothesis H0, is not rejected when it is actually false. That is, accepting the assumption that policy B remains more effective than policy A when it is <em>actually false.</em>
Answer:
what are the choices
Step-by-step explanation:
The second step is to keep your x terms on the left and move the constant to the right by subtracting it from both sides.
It would be 30 students from his class roster because not every kid would have his math class in the other options.
Answer:
396
Step-by-step explanation:
it's it's 396 because if you add 99 more you will get 495.
each percentage is 99, so 99 x 5 is how many students there are 99 x 4 is the answer.
