If the forecasted value of the time series variable for period 2 is 22.5 and the actual value observed for period 2 is 25, what
1 answer:
Answer:
The forecast error in period 2 is 2.5
Step-by-step explanation:
The forecasted value of the time series variable for period 2 = 22.5
The actual value observed for period 2 = 25
Forecast error = Actual value - Forecasted value
Actual value = 25
Forcasted value = 22.5
Forecast error in period 2 =
Forecast error in period 2=
Hence the forecast error in period 2 is 2.5
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Answer:
test statistic (Z) is 2.5767 and p-value of the test is .009975
Step-by-step explanation:
: percentage of students who smoke did not change
: percentage of students who smoke has changed
z-statistic for the sample proportion can be calculated as follows:
z= where
- p(s) is the sample proportion of smoking students (
=0.25)
- p is the proportion of smoking students in the survey conducted five years ago (18% or 0.18)
- N is the sample size (200)
Then, z= ≈ 2.5767
What is being surveyed is if the percentage of students who smoke has changed over the last five years, therefore we need to seek two tailed p-value, which is .009975.
This p value is significant at 99% confidence level. Since .009975 <α/2=0.005, there is significant evidence that the percentage of students who smoke has changed over the last five years
Answer:
The system of equations has no solution.
Step-by-step explanation:
Given the system of equations
2y = 2x+7
x = y+2
solving the system of equations
Arrange equation variables for elimination
Multiply -y+x=2 by 2: -2y+2x=4
so adding
so the system of equations becomes
0 = 11 is false, therefore the system of equations has no solution.
Thus,
No Solution!