A type I and type II error of the given question are respectively;
A) concluding that the local mean income exceeds $45000 when in fact it does not and therefore opening a restaurant in a locale that would not support it.
B) concluding that the local mean income does not exceed $45000 when in fact it does not and therefore deciding not to open a restaurant in a locale that would support it.
<h3>What is Type 1 and a Type II error?</h3>
In statistics, a type I error simply means rejecting the null hypothesis when it's actually true. Meanwhile, a Type II error means failing to reject the null hypothesis when it's actually false.
Now, in this question what we will consider to be a type I error is concluding that the local mean income exceeds $45000 when in fact it does not and therefore opening a restaurant in a locale that would not support it.
A type II error will be concluding that the local mean income does not exceed $45000 when in fact it does not and therefore deciding not to open a restaurant in a locale that would support it.
Read more about Type I and II errors at; brainly.com/question/16012410
Answer:
Step-by-step explanation:
It’s made up of the 1 dollar coin , .50 cents coin, .25 cents coin, and the .10 cents coin. If you multiply each by 25 you get the exact value , so these coins make it up but there is exactly 25 of each
Answer:
4:3
Step-by-step explanation:
The computation of the ratio of females to males is shown below
Since it is mentioned that there is 28 students in the class out of which 12 are boys
So, the females are
= 28 - 12
= 16
SO, the ratio of females to males is
16:12
4:3
X - y = 0.85
x + y = 1
----------------add
2x = 1.85
x = 1.85/2
x = 0.925
x + y = 1
0.925 + y = 1
y = 1 - 0.925
y = 0.075
so ur 2 numbers are : 0.925 and 0.075
