For the family picnic, Dana's mom buys a box of 12 forks, a box of 18 spoons, and a box of 24 knives. How many boxes of each wil
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The analysis of time series is a process by which a set of observations in a time series is analyzed.
Part a: The time series plot is constructed both in de$mo$ and excel sheet.
b. The data appear to follow a horizontal pattern.
Part b: The trial and error is used to find the value of exponential smoothing coefficient that results in MSE= 0.009 which is less than 0.01.
The MSE in the first table is calculated using the average of the two previous years.
The MSE in the second table is calculated using the moving average
The MSE in the third table is calculated by using ∝= 0.4 and the value of alpha changes to different values as shown in the cell U20, V20 and W20.
The MSE is the mean squared error.
We find the error by subtracting <u><em>forecast</em></u> data from the <em><u>actual</u></em> data.
The forecasted data may be average of 2 years , moving average of 3 years or adding the multiplied chosen value of alpha with the actual data and the multiplied value of 1- ∝ with the forecasted value of data.
The error is then squared.
The squared error is then averaged which gives the MSE.
The values of ∝= 0.400641005, 0.40319659, 0.400641001 may give the best MSE values.
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Answer:
This z score tell to us how many deviations we are below or above the mean for a given normal distribution.
For the case of Eddie we got:
And for the case of Sue we got:
So then for both cases we see that Eddie and Sue are 1 deviation below the true mean for each gender so then the best conclusion for this case would be:
C.They are the same size relative to other children of the same sex.
Step-by-step explanation:
We can define the random variable X as the head circumference for boys at birth and we know that the distribution for X is given by:
Similarly we can define the random variable Y as the head circumference for boys at birth and we know that the distribution for Y is given by:
And we know that Eddie was born with 33.2 cm and Sue with 32.7 cm for the head circumference . Since we are interested to determine which child's head circumference is smaller relative to other children of the same sex, we can use the z score formula given by this formula:
This z score tell to us how many deviations we are below or above the mean for a given normal distribution.
For the case of Eddie we got:
And for the case of Sue we got:
So then for both cases we see that Eddie and Sue are 1 deviation below the true mean for each gender so then the best conclusion for this case would be:
C.They are the same size relative to other children of the same sex.