The following table displays a record of sales of a certain product over five weeks: IT Week Units Sold 1 6. 2 8 3 4 9. 5 12 Using the naïve forecasting method, generate forecasts for weeks 2-5 and calculate the following three accuracy metrics for your forecasting model: a. Mean Forecast Error (MFE): b. Mean Absolute Error (MAE): Root Mean Squared Error (RMSE): c.
Inverse Normal Distribution
The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.
Mean, Median, Mode
It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.
Z-Scores
A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.
![The following table displays a record of sales of a certain product over five weeks:
Week
Units Sold
1
8
3
4
9
5
12
Using the naïve forecasting method, generate forecasts for weeks 2-5 and calculate the following three accuracy
metrics for your forecasting model:
a. Mean Forecast Error (MFE):
b. Mean Absolute Error (MAE):
C.
Root Mean Squared Error (RMSE):](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F207c3dea-8623-4d5e-9de5-8b6df2858524%2Faed1b4d0-ffc2-4aac-868f-028f2b465090%2F469piam_processed.jpeg&w=3840&q=75)
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