Q Search the web. Q * A a D : New Tab 会 Type here to search + Converter AutoSave C Off 8、図。 W8C1Handout - Word P Search Diarra, Mouna DM 国 File Home Insert Draw Design Layout References Mailings Review View Help É Share P Comments P Find - E AaBbCcDc AaBbCcDc AaBbC AaBbCcC AaB 1 Normal 1 No Spa. Heading 1 Heading 2 Calibri (Body) - 12 Replace Paste 目三三=三、 。田。 BIU - - e. A - v ab x, x A Dictate Sensitivity Editor Title A Select Clipboard s Font Paragraph Styles Editing Voice Sensitivity Editor HANDIN: Due class time to Blackboard next week Tuesday Oct 27th: 1) Use the Chinese remainder theorem showing steps to find ALL solutions to the following two problems. a) x = 1 mod 2, x = 4 mod 5, x = 3 mod 7 b) x = 2 mod 3, x = 0 mod 5, x = 7 mod11 | Page 6 of 6 974 words W O Focus 目 + 100% 9:27 PM P Type here to search Ei e O 曲 Address 10/26/2020
Continuous Probability Distributions
Probability distributions are of two types, which are continuous probability distributions and discrete probability distributions. A continuous probability distribution contains an infinite number of values. For example, if time is infinite: you could count from 0 to a trillion seconds, billion seconds, so on indefinitely. A discrete probability distribution consists of only a countable set of possible values.
Normal Distribution
Suppose we had to design a bathroom weighing scale, how would we decide what should be the range of the weighing machine? Would we take the highest recorded human weight in history and use that as the upper limit for our weighing scale? This may not be a great idea as the sensitivity of the scale would get reduced if the range is too large. At the same time, if we keep the upper limit too low, it may not be usable for a large percentage of the population!
Discrete math
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