Which statement about data types is true regarding weather data?

Weather data can indeed encompass multiple types of data, making the statement about it being both nominal and interval accurate. Nominal data in weather might include categories such as different types of weather conditions (sunny, rainy, snowy), representing distinct groups without any intrinsic order. On the other hand, interval data can be seen with temperature measurements, where the values can be compared and have meaningful differences, but without a true zero (for example, Celsius or Fahrenheit).

In contrast, the other answers focus on more restricted definitions. The notion that weather data is always nominal overlooks the fact that temperature and other measurable phenomena also fall under interval or ratio categories. The claim that it is only ordinal misses the various ways in which weather can be quantified. Lastly, stating that it involves ratio data only disregards the categorical aspects of weather types, which don't lend themselves to ratio characteristics. This comprehensive view of data types helps in making informed, data-driven decisions related to weather forecasting and analysis.