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:
x = 10
, y = 10
Step-by-step explanation:
Using the sine/ cosine ratios in the right triangle and the exact values
sin60° =
, cos60° =
, then
sin60° =
=
=
( cross- multiply )
2x = 20
( divide both sides by 2 )
x = 10![\sqrt{3}](https://tex.z-dn.net/?f=%5Csqrt%7B3%7D)
and
cos60° =
=
=
( cross- multiply )
2y = 20 ( divide both sides by 2 )
y = 10
The decision when the z value is within the rejection region is that we'll have to reject the null hypothesis.
<h3>What is a rejection region?</h3>
It should be noted that the rejection region is also known as the critical region. It is the set of values where the null hypothesis is rejected.
When the observed test statistic is in the rejection region, we'll have to reject the null hypothesis and then accept rte alternative hypothesis.
Learn more about z scores on:
brainly.com/question/6096474
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