Answer:
Step-by-step explanation:
The formula to calculate the forecast could be determine by using the exponential smoothing method :
![Ft = F(t-1) + \alpha [A(t-1) - F(t-1)]](https://tex.z-dn.net/?f=Ft%20%3D%20F%28t-1%29%20%2B%20%20%5Calpha%20%5BA%28t-1%29%20-%20F%28t-1%29%5D)
Where ,Ft is the Forecast for period t
F(t-1) is the Forecast for the period previous to t
A(t-1) is the Actual demand for the period previous to t
= Smoothing constant
To get the forecast for may and june the above formula with
and april forecast of 500 will be used
For march

For April

For May

So forecast for May = 536.25
675 people will have score between 85 and 120
Step-by-step explanation:
Given
Mean = 100
SD = 15
If we have to find percentage of score between two values we have to find the z-score for both values and then area under the curve for both values
z-score is given by:
for a value x:

So,
For 85:


Now we have to find the area under the curve for both values of z-score. z-score tables are used for this purpose.
So,
For z1 : 0.1587
For z2: 0.9082
The area between z11 and z2:

So the probability of score between 85 and 120 is 0.7495
As the sample is of 900 people, the people with scores between 85 and 120 will be:
900*0.7495 = 674.55 people
Rounding off to nearest whole number
675 people will have score between 85 and 120
Keywords: Probability, SD
Learn more about probability at:
#LearnwithBrainly
Answer:
Step-by-step explanation:
66.00 x 1.0825 = 71.445 rounded to $71.45
You take 8.25% and divide it by 100 which will give you 0.0825 by adding a 1 this will get you the sales tax and original amount.