Forecasting the Sale of Ice Cream in November

Oct 13, 2025 by thesweetdesigns.com 145 views

What is the Forecasted Sale of Ice Cream in the Month of November using the 4-Period Moving Averages?

The ice cream industry is a multi-billion dollar market that experiences fluctuations in sales throughout the year. To predict future sales, businesses often use statistical models, such as the 4-period moving average method. In this article, we will explore how to use the 4-period moving average method to forecast the sale of ice cream in the month of November.

Understanding the 4-Period Moving Average Method

The 4-period moving average method is a simple and effective way to forecast future values based on past data. It involves calculating the average of the last four data points and using this average as the forecasted value. The method is based on the assumption that the future value will be similar to the average of the past values.

Calculating the 4-Period Moving Average

To calculate the 4-period moving average, we need to have at least four data points. Let's assume we have the following sales data for the ice cream industry:

Month	Sales($)
January	500
February	800
March	1,200
April	1,800
May	2,400
June	2,000

To calculate the 4-period moving average for each month, we will use the following formula:

4-Period Moving Average = (Sales of last 4 months + Sales of last 3 months + Sales of last 2 months + Sales of last month) / 4

Calculating the 4-Period Moving Average for Each Month

Let's calculate the 4-period moving average for each month:

January

Sales of last 4 months: 500, 800, 1,200, 1,800
Sales of last 3 months: 800, 1,200, 1,800
Sales of last 2 months: 1,200, 1,800
Sales of last month: 1,800
4-Period Moving Average = (500 + 800 + 1,200 + 1,800) / 4 = 1,100

February

Sales of last 4 months: 800, 1,200, 1,800, 2,400
Sales of last 3 months: 1,200, 1,800, 2,400
Sales of last 2 months: 1,800, 2,400
Sales of last month: 2,400
4-Period Moving Average = (800 + 1,200 + 1,800 + 2,400) / 4 = 1,600

March

Sales of last 4 months: 1,200, 1,800, 2,400, 2,000
Sales of last 3 months: 1,800, 2,400, 2,000
Sales of last 2 months: 2,400, 2,000
Sales of last month: 2,000
4-Period Moving Average = (1,200 + 1,800 + 2,400 + 2,000) / 4 = 1,900

April

Sales of last 4 months: 1,800, 2,400, 2,000, 1,600
Sales of last 3 months: 2,400, 2,000, 1,600
Sales of last 2 months: 2,000, 1,600
Sales of last month: 1,600
4-Period Moving Average = (1,800 + 2,400 + 2,000 + 1,600) / 4 = 1,900

May

Sales of last 4 months: 2,400, 2,000, 1,600, 1,100
Sales of last 3 months: 2,000, 1,600, 1,100
Sales of last 2 months: 1,600, 1,100
Sales of last month: 1,100
4-Period Moving Average = (2,400 + 2,000 + 1,600 + 1,100) / 4 = 1,700

June

Sales of last 4 months: 2,000, 1,600, 1,100, 1,600
Sales of last 3 months: 1,600, 1,100, 1,600
Sales of last 2 months: 1,100, 1,600
Sales of last month: 1,600
4-Period Moving Average = (2,000 + 1,600 + 1,100 + 1,600) / 4 = 1,600

Forecasting the Sale of Ice Cream in November

To forecast the sale of ice cream in November, we will use the 4-period moving average method. We will assume that the sales data for the months of July, August, September, and October are as follows:

Month	Sales($)
July	1,800
August	2,000
September	2,400
October	2,800

We will calculate the 4-period moving average for each month:

July

Sales of last 4 months: 1,800, 2,000, 2,400, 2,800
Sales of last 3 months: 2,000, 2,400, 2,800
Sales of last 2 months: 2,400, 2,800
Sales of last month: 2,800
4-Period Moving Average = (1,800 + 2,000 + 2,400 + 2,800) / 4 = 2,400

August

Sales of last 4 months: 2,000, 2,400, 2,800, 3,200
Sales of last 3 months: 2,400, 2,800, 3,200
Sales of last 2 months: 2,800, 3,200
Sales of last month: 3,200
4-Period Moving Average = (2,000 + 2,400 + 2,800 + 3,200) / 4 = 2,800

September

Sales of last 4 months: 2,400, 2,800, 3,200, 3,600
Sales of last 3 months: 2,800, 3,200, 3,600
Sales of last 2 months: 3,200, 3,600
Sales of last month: 3,600
4-Period Moving Average = (2,400 + 2,800 + 3,200 + 3,600) / 4 = 3,200

October

Sales of last 4 months: 2,800, 3,200, 3,600, 4,000
Sales of last 3 months: 3,200, 3,600, 4,000
Sales of last 2 months: 3,600, 4,000
Sales of last month: 4,000
4-Period Moving Average = (2,800 + 3,200 + 3,600 + 4,000) / 4 = 3,600

In conclusion, the 4-period moving average method can be used to forecast the sale of ice cream in the month of November. By analyzing the sales data for the months of July, August, September, and October, we can calculate the 4-period moving average for each month and use this average as the forecasted value for November. The forecasted sale of ice cream in November is $3,600.

Limitations of the 4-Period Moving Average Method

The 4-period moving average method has several limitations. One of the main limitations is that it assumes that the future value will be similar to the average of the past values. However, this may not always be the case, especially if there are significant changes in the market or industry. Additionally, the method may not be suitable for forecasting values that have a high degree of variability.

Future Research Directions

Future research directions for the 4-period moving average method include:

Developing more sophisticated forecasting models that can handle high degrees of variability
Incorporating additional data sources, such as seasonality and trends, into the forecasting model
Evaluating the performance of the 4-period moving average method in different industries and markets

[1] Box, G. E. P., & Jenkins, G. M. (1976). Time series analysis: Forecasting and control. Holden-Day.
[2] Makridakis, S., & Hibon, M. (2000). The M3-Competition: Results, conclusions and implications. International Journal of Forecasting, 16(4), 451-476.
[3] Hyndman, R. J., & Athanasopoulos, G. (2014). Forecasting: principles and practice. OTexts.
Q&A: Forecasting the Sale of Ice Cream in November using the 4-Period Moving Averages

In our previous article, we explored how to use the 4-period moving average method to forecast the sale of ice cream in the month of November. In this article, we will answer some frequently asked questions about the 4-period moving average method and its application in forecasting the sale of ice cream.

Q: What is the 4-period moving average method?

A: The 4-period moving average method is a simple and effective way to forecast future values based on past data. It involves calculating the average of the last four data points and using this average as the forecasted value.

Q: How do I calculate the 4-period moving average?

A: To calculate the 4-period moving average, you need to have at least four data points. You will use the following formula:

4-Period Moving Average = (Sales of last 4 months + Sales of last 3 months + Sales of last 2 months + Sales of last month) / 4

Q: What are the limitations of the 4-period moving average method?

A: The 4-period moving average method has several limitations. One of the main limitations is that it assumes that the future value will be similar to the average of the past values. However, this may not always be the case, especially if there are significant changes in the market or industry. Additionally, the method may not be suitable for forecasting values that have a high degree of variability.

Q: Can I use the 4-period moving average method for forecasting values that have a high degree of variability?

A: No, the 4-period moving average method may not be suitable for forecasting values that have a high degree of variability. In such cases, more sophisticated forecasting models may be needed.

Q: How do I choose the number of periods for the moving average?

A: The number of periods for the moving average depends on the specific application and the characteristics of the data. In general, a shorter moving average (e.g., 2-3 periods) is used for forecasting values that are changing rapidly, while a longer moving average (e.g., 6-12 periods) is used for forecasting values that are changing slowly.

Q: Can I use the 4-period moving average method for forecasting values that are seasonal?

A: Yes, the 4-period moving average method can be used for forecasting values that are seasonal. However, you may need to adjust the method to account for the seasonality of the data.

Q: How do I evaluate the performance of the 4-period moving average method?

A: To evaluate the performance of the 4-period moving average method, you can use metrics such as mean absolute error (MAE), mean squared error (MSE), and root mean squared percentage error (RMSPE). You can also compare the performance of the 4-period moving average method with other forecasting methods.

Q: Can I use the 4-period moving average method for forecasting values that are correlated with other variables?

A: Yes, the 4-period moving average method can be used for forecasting values that are correlated with other variables. However, you may need to adjust the method to account for the correlations between the variables.

In conclusion, the 4-period moving average method is a simple and effective way to forecast future values based on past data. However, it has several limitations, and its performance may vary depending on the specific application and the characteristics of the data. By understanding the limitations and applications of the 4-period moving average method, you can use it effectively in forecasting the sale of ice cream in November.

[1] Box, G. E. P., & Jenkins, G. M. (1976). Time series analysis: Forecasting and control. Holden-Day.
[2] Makridakis, S., & Hibon, M. (2000). The M3-Competition: Results, conclusions and implications. International Journal of Forecasting, 16(4), 451-476.
[3] Hyndman, R. J., & Athanasopoulos, G. (2014). Forecasting: principles and practice. OTexts.