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Demand for Microwave Ovens -Consider the Demand for Microwave Ovens Dataset

question 28

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Demand for Microwave Ovens  Demand  for  Microwave  Orens  Frequency  of  Dccumrence  in Days  Probability  Cumulative  Frobability  Random  Number  Inferval 02010.00%10.00%0 to 914020.00%30.00%10 to 2927035.00%65.00%30 to 6435025.00%90.00%65 to 894105.00%95.00%90 to 945105.00%100.00%95 to 99\begin{array} { | l | l | l | l | l | } \hline \begin{array} { l } \text { Demand } \\\text { for } \\\text { Microwave } \\\text { Orens }\end{array} & \begin{array} { l } \text { Frequency } \\\text { of } \\\text { Dccumrence } \\\text { in Days }\end{array} & \text { Probability } & \begin{array} { l } \text { Cumulative } \\\text { Frobability }\end{array} & \begin{array} { l } \text { Random } \\\text { Number } \\\text { Inferval }\end{array} \\\hline 0 & 20 & 10.00 \% & 10.00 \% & 0 \text { to } 9 \\\hline 1 & 40 & 20.00 \% & 30.00 \% & 10 \text { to } 29 \\\hline 2 & 70 & 35.00 \% & 65.00 \% & 30 \text { to } 64 \\\hline 3 & 50 & 25.00 \% & 90.00 \% & 65 \text { to } 89 \\\hline 4 & 10 & 5.00 \% & 95.00 \% & 90 \text { to } 94 \\\hline 5 & 10 & 5.00 \% & 100.00 \% & 95 \text { to } 99 \\\hline\end{array}
-Consider the Demand for Microwave Ovens dataset.What is the total demand corresponding to random numbers 24,89,10,7,96,and 21?

Distinguish between the four main components of a time series based on their characteristics and effects.
Know how to compute moving averages and understand their purpose in time series analysis.
Understand the basics of exponential smoothing and its application in forecasting.
Recognize the role of past data in forecasting future values.

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