1.3.7 Suppose that you play the game with three different friends separately with the following results: Friend A chose scissors 100 times out of 400 games. Friend B chose scissors 20 times out of 120 games. Friend C chose scissors 65 times out of 300 games. Suppose that for each friend you want to test whether the long-run proportion that the friend will pick scissors is less than 1/3. a. Determine the appropriate standardized statistic for each friend's results. (Hint: You will need to get the standard deviation of the simulated statistics from the null distr by an applet.) b. Based on the standardized statistics, which friend's data provides the strongest evidence that the long-run proportion that the friend will choose scissors is less than 1/3? doto pnouidod the loogt
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!
Hi, I am having trouble figuring out this problem? I am unsure what the statistic, mean of null distribution would be in order to find the z-score. The answer is in the book but I can't figure out how they got the figures or how to simulate them. This is the website we use to simulate expirements. http://www.rossmanchance.com/applets/OneProp/OneProp.htm
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