1.3 KiB
1.3 KiB
file:: section_2.2_1686907456219_0.pdf file-path:: ../assets/section_2.2_1686907456219_0.pdf
- The Definition of Distribution Function ls-type:: annotation hl-page:: 3 hl-color:: blue id:: 648c2a50-7acf-4cd5-b075-d0e970e114a4
- The Properties of Distribution Function ls-type:: annotation hl-page:: 4 hl-color:: blue id:: 648c2a73-3961-4723-90e8-5f160bb18e0d
- [:span] ls-type:: annotation hl-page:: 4 hl-color:: yellow id:: 648c2a88-3d0f-47d2-be44-21df002a1def hl-type:: area hl-stamp:: 1686907527770
- [:span] ls-type:: annotation hl-page:: 7 hl-color:: yellow id:: 648c2abf-5c5e-4af9-9e13-bb566f3206e8 hl-type:: area hl-stamp:: 1686907580838
- [:span] ls-type:: annotation hl-page:: 9 hl-color:: yellow id:: 648c2b26-e92d-43f7-b8e1-60b51a2b5268 hl-type:: area hl-stamp:: 1686907685844
- A random variable is said to be of discrete type if the number of different values it can take is finite or countably infinite. ls-type:: annotation hl-page:: 17 hl-color:: yellow id:: 648c2be0-787e-4e1f-8d0c-b859f0d08383 hl-stamp:: 1686907879808
- We call X a continuous random variable if there is a function f defined for all x ∈ R and having the following properties: ls-type:: annotation hl-page:: 25 hl-color:: yellow id:: 648c2c54-b536-40ba-8191-ef1aeb2be0b9