Answer:
Restaurant A is a better deal because you get more amount of money and for restaurant b you don't know how much they are tipping.
Step-by-step explanation:
Answer:
Probably A, can't see all of D
Step-by-step explanation:
I can't see the last of D, so I will still try.
A function means that each x only goes to one y, but each y can have multiple xs going to it. If that's hard to understand, on the table, if you have two of the same xs on the x side, they HAVE to have the same y on the y side. Simple as that.
Right away, A looks right since it doesn't repeat anything on the x side, it has 4, 5, 6 and 7. Let's look at the others.
B repeats 3, but the ys are different, one has 10 and one has 30, so this isn't a function. They would both have to be 10 or 30 or some other number.
C repeats -5 and both have a different y, 2 and 3, so not a function
D I can only see the first two x entries so I can't be sure, so maybe you can tell. If there is any repeat int he x side and the corresponding y side isn't the same then it also isn't the function. i have to assume there is a repeat though.
It’s not a perfect number to be divided by 11.
275436/11
=
rounded: 25,039.64
hope this helps
Answer:
<u>Type I error: </u>D. Reject the null hypothesis that the percentage of adults who retire at age 65 is less than or equal to 62 % when it is actually true.
<u>Type II error: </u>A. Fail to reject the null hypothesis that the percentage of adults who retire at age 65 is less than or equal to 62 % when it is actually false.
Step-by-step explanation:
A type I error happens when a true null hypothesis is rejected.
A type II error happens when a false null hypothesis is failed to be rejected.
In this case, where the alternative hypothesis is that "the percentage of adults who retire at age 65 is greater than 62%", the null hypothesis will state that this percentage is not significantly greater than 62%.
A type I error would happen when the conclusion is that the percentage is greater than 62%, when in fact it is not.
A type II error would happen when there is no enough evidence to claim that the percentage is greater than 62%, even when the percentage is in fact greater than 62% (but we still don't have evidence to prove it).
