Answer:
Since the null hypothesis is true, finding the significance is a type I error.
The probability of the year I error = level of significance = 0.05.
so, the number of tests that will be incorrectly found significant is computed as follow: 0.05 * 100 = 5
Therefore, 5 tests will be incorrectly found significant given that the null hypothesis is true.
C = 10m + 30, where C is total cost and m is # of months
C = 10(5) + 30
C = 50 + 30
C = $80
$160 = 10m + 30
160 - 30 = 10m
130/10 = m
m = 13 months
Hope that helps
Jackets = 3
Shirt = 6
Ties = 8
Pants = 4
Number of combination = 3 x 6 x 8 x 4 = 576
Answer: There are 576 possible combinations.
<span>Answer: A) exponential, because there is a relatively consistent multiplicative rate of change
</span><span>
temperature thrice. If you compare time=0 until time=30, you will get this table
t(10)- t(0)= 180-200= -20
t(20)-t(10)= 163-180= -17
t(30)-t(20)= 146-163= -17
</span>t(40)-t(30)= 131- 146= -15
t(50)-t(40)= 118-131= -13
t(50)-t(40)= 107-118= -11
There is something weird about the 2nd and 3rd value because it was same -17., but there seems to be a +2 change to the difference. So, the graph would be exponential with a <span>relatively consistent multiplicative rate of change</span>
The angles are <span>supplementary
</span>
7x + x + 20 = 180
8x = 160
x = 20
