Answer:
A
Step-by-step explanation:
-22x=-4x+28
-18x=28
x=-28/18=-14/9
Answer:
AAS
Step-by-step explanation:
Answer:
311
Step-by-step explanation:
280 + 31 = 311
Answer:
0.684
Step-by-step explanation:
According to the scenario, computation of the given data are as follows
Seasonal index = Average value for July ÷ Average over all months
Where, Average value for July = ( 110 + 150 + 130 ) ÷ 3
= 390 ÷ 3 = 130
And, average over all months = 190
So by putting the value in the formula, we get
Seasonal index = 130 ÷ 190
= 0.684211 or 0.684
Hence, approximate seasonal index for July is 0.684.
Answer:
5/6 (please give branliest)
Step-by-step explanation:
5/6 * 1/3 = 5/18
5/18 / 2/3 = 5/12
5/12 / 1/2 = 5/6