Here's what the weights of 200 athletes might look like in a frequency distribution done as a scatter plot , which shows a point for the number of times each weight occurs. You can also show the frequencies as vertical bars rather than points, in which case the figure is called a histogram . When you see one it will be obvious what is going on. It's normal for data to have a symmetrical bell-shaped frequency distribution like the one shown. Exactly why most things are normally distributed is a bit of a mystery.
Outliers are often just errors in data entry.
It might be worth checking out the original data for the person on 50 kg in the above figure. You certainly would if the value was 40 kg. Even if the value is correct, you might have a good reason to exclude that observation. Summarizing the values of a nominal variable like sex is a simple matter. All you need is the frequency of each level.