The last period's sales forecast was Rs 100 lakhs and demand was Rs 90 lakhs. What is the simple exponential smoothing sales forecast (in Rs lakhs) with alpha of 0.4 for the next period?
96
Simple Exponential Smoothing Forecast = α(Demand) + (1 - α)(Previous Forecast) = 0.4(90) + (1 - 0.4)(100) = 36 + 60 = 96
For a monthly data, the link relative for any month is given by:
What is the main assumption of the ratio-to-moving-averages method?
The following frequency distribution is of which type?
| Class / वर्ग | Frequency / आवृत्ति |
|---|---|
| 0-5 | 4 |
| 0-10 | 7 |
| 0-15 | 11 |
| 0-20 | 16 |
| 0-25 | 23 |
Compute the standard deviation of the following numbers: 5, 6, 4, and 2
A physical instructor claims that the mean weight of students in school is greater than 82 kg with standard deviation 20. If a sample of size 81 students is selected with mean weight of 90. The test statistic equals to
Monthly sales data (in units) shows the following trend-adjusted ratios for three months: January (1.1), February (0.9), and March (1.0). What is the average seasonal index for this quarter?
For a monthly data, the link relative for any month is given by:
What is the main assumption of the ratio-to-moving-averages method?
The following frequency distribution is of which type?
| Class / वर्ग | Frequency / आवृत्ति |
|---|---|
| 0-5 | 4 |
| 0-10 | 7 |
| 0-15 | 11 |
| 0-20 | 16 |
| 0-25 | 23 |
Compute the standard deviation of the following numbers: 5, 6, 4, and 2
Two continuous random variables X and Y are related as
Y = 2X + 3
Let \(\sigma_X^2\) and \(\sigma_Y^2\) denote the variances of X and Y, respectively. The variances are related as