forecast are wrong, because of some factors that may occur during the forecasting period. This factors may include, promotion, when company advertise their product without planning for the number of customer they can get during this period, even though, they have planned for the product to be sold during this period, there will still be an error in the forecast, because they may eventually get more customer or low customer.Also introduction of new product may make a forecast to be wrong since there is no historical data, that may suggest what the demand has been in the past, with this forecast may be wrong. Another reason is that customer may not want to buy the product again, this may due to fact that they have alternative product or a product that the price is reduced from the competitor, and if the customer did not buy the product,it will make the forecast to be wrong. One final point is that, unexpected event may make the forecast to be wrong. for example, it is believe that between December and November in the UK, snow must fall, if for a particular year there is no snow and a company has prepared to sell worm cloth, what would happen to that company during the period that snow does not fall,there forecast will definitely be wrong and they may loss.
The plural is forecasts.
fivecast and spelt fourcast wrong you spelt it forecast no im just kidding LOOK IT UP GOSH
Today's forecasts is Sunny
Meteorologists call that Forecasting.
The answer depends on what the forecast was about and how you interpret accurate. Consider weather forecasts. If the weather forecast was "sunny", how much cloud cover is acceptable before the forecast is considered wrong? If the forecast was "dry" would a 5 second drizzle mean a total *FAIL*? Does "rainy" range from a fleeting drizzle to a tropical downpour? Also, if the forecast for a region was sunny, and it was sunny in 95% of the region, but in 5% of the region it was not sunny for 5 minutes, does that count as a failure? It is critically important that all forecast terms are unambiguous and that all thresholds are very clearly defined. Similar considerations will apply in forecasts of other unknowns.
The relative frequency probability that the forecast will be accurate can be calculated by dividing the number of accurate forecasts by the total number of forecasts. In this case, it would be 25 accurate forecasts out of 38 total days, which gives a probability of 25/38. This simplifies to approximately 0.6579, or 65.79%.
The past participle of 'forecast' is 'forecast', just as the past participle of 'cast' is 'cast' and the past participle of 'broadcast' is 'broadcast'
Weather forecasts are typically accurate about 80-90% of the time in the short term (1-3 days) but become less accurate as the forecast period extends beyond that. Factors like the complexity of weather systems and the unpredictability of certain events like thunderstorms can contribute to forecast errors. Additionally, regional variations in forecasting accuracy may occur.
‡ Meteorologists have markedly increased the accuracy of their forecasts in the last twenty years. Advances in radar and satellite technology have helped to improve daily forecasts, making a four-day forecast today better than a two-day forecast twenty years ago.
No. In many countries they do not so a "typical" forecast will not.
No. In terms of weather forecast, they are very different. New Zealand would be nearer the equator than Ireland is and the many other things that influence their climates would be very different. In terms of other kinds of forecasts, such as economic forecasts, political forecasts etc. they would also be very different.
meteorlogists using advanced tech to forecast the tornadoes and average weather forecasters on tv