Answer:
3
Step-by-step explanation:
Well, first off I'm assuming that by "scar factor" you mean scale factor. So if the two squares are similar then that means the sides are also similar, that means that they are equivalent. So all you have to do is 12/4 to get 3. So then to check it, you do 4 times 3 which gets you to 12.
So the final answer is 3
Answer:
The marketing department committed a Type I error because the marketing department rejected the null hypothesis when it was true. The probability of making a Type I error is 0.01.
Explanation:
Null Hypothesis: H₀ : µ = 58.58
Alternative Hypothesis: H₁ : µ> 58.58
A type I error is made by the marketing department if the null hypothesis is rejected when it is true and a type II error occurs, when the marketing department fails to reject the null hypothesis when it should be rejected.
The probability of making a Type I error is α, which is the level of significance you set for your hypothesis test, in our case 0.01 while the probability of making a Type II error is β, which depends on the power of the test.
Based on this we can therefore conclude that the marketing department committed a Type I error because the marketing department rejected the null hypothesis when it was true. The probability of making a Type I error is 0.01.
I can’t really see sorry could you take a better picture?
Answer & Step-by-step explanation:
4(8 - 6)52 - 6 ÷ (-3)
First, subtract 6 from 8
4(2)52 - 6 ÷ (-3)
4(2)(52) - 6 ÷ (-3)
Multiply 2 by 52
416 - 6 ÷ (-3)
Divide -6 by -3.
416 + 2
Add 2 to 416
418
So, your evaluated answer would be 418.