Well what i got was 79.3 by finding the average by adding it all together then divided it by how many numbers
15y + 31 = 61
15y = 61 - 31
15y = 30
y = 30 ÷ 15
<u>y = 2</u>
Answer:
Step-by-step explanation:
1. not equivalent
2. not equivalent
3. fully simplified
4.not fully simplified
5. not fully simplified
6. not fully simplified
Answer:
a) "=T.INV(1-0.02,7)"
And we got 
b) "=T.INV(0.85,7)"
And we got 
Step-by-step explanation:
For this case we have a sample size of n=8, so we can find the degrees of freedom like this:

Part a
For this case we need a value who accumulates 0.02 of the area in the right of the t distribution with 7 degrees of freedom so we can use the following excel code:
"=T.INV(1-0.02,7)"
And we got 
Part b
For this case we need a value who accumulates 0.85 of the area in the left of the t distribution with 7 degrees of freedom so we can use the following excel code:
"=T.INV(0.85,7)"
And we got 