Random Variables td ignment CS lutions to the questions below. Late gements are made with me. 06 dsds at distribution in the table below. (2 points each) pect? 145 150 0.15 0.22 0.37 0.19 0.07 160 170 # of Sales 155 Probability ST . If the stock closes above 30 next Thursday, the option tion will be worth nothing, and if it closes between 2 there is a 50% chance that the stock will da 30% chance that it will fall b ks
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!
What is the average daily sale expected? What is the standard deviation? Give two reasons why the table is valid
Trending now
This is a popular solution!
Step by step
Solved in 3 steps with 1 images
