(N) Rov Total White (W) 285 591 876 Black (B) 14 110 124 Column Total 299 701 1,000 Click here for the Excel Data File (a) Calculate the probabilities given below: (Round your answers to 4 de i. P(S) .2990 ii. P(W) .0701 iii. P(S I) .0876 iv. P(S I B) .0285 P(S and W) .0876 v. vi. P(N and B) .0325 (b) Do you see evidence that smoking and race are not independent? No O O O O O

Q: ed States is 312 million people. ause Deaths car occupant 13,100 e driver | 4,500 553 56

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Q: Construct a probability distribution for tossing 3 coins. Assume X be the number of tails.

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A:

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A:

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A:

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Q: that when aduitS with Smar selected, 34% use Uf Ci f 13 adult smartphone users are randomly…

A: n = 15 p = 0.54

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!