Because in the natural world data (weights, heights, etc) is distributed normally - by that I mean that the number and magnitude of deviations from the mean are roughly the same on either side of the mean. Thus data forms a bell-shaped curve around the mean. Depending on the data being considered the bell may be tall and thin or short and fat, but it will still be bell-shaped (ie. normally distributed)
Often in our non-natural world data is not normally distributed - it is skewed - for example the number of minutes late a train arrives at a station each morning, the number of children a family has - these are not likely to be normally distributed. Thus other distribution have to be considered.
Qatar's winter months are brimming with unmissable experiences, from the AFC Asian Cup 2023 to the World Aquatics Championships Doha 2024 and a variety of outdoor adventures and cultural delights.
Fasten your seatbelts and get ready for a sweet escape into the world of budget-friendly Mango Sticky Rice that's sure to satisfy both your cravings and your budget!
Celebrate World Vegan Day with our list of vegan food outlets offering an array of delectable options, spanning from colorful salads to savory shawarma and indulgent desserts.
Because in the natural world data (weights, heights, etc) is distributed normally - by that I mean that the number and magnitude of deviations from the mean are roughly the same on either side of the mean. Thus data forms a bell-shaped curve around the mean. Depending on the data being considered the bell may be tall and thin or short and fat, but it will still be bell-shaped (ie. normally distributed)
Often in our non-natural world data is not normally distributed - it is skewed - for example the number of minutes late a train arrives at a station each morning, the number of children a family has - these are not likely to be normally distributed. Thus other distribution have to be considered.
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Because it's the closest to reality, whenever you have a norm of course.
because it's normal.