One of the Characteristic of a Normal Probability Distribution is that the total area under the bell shape is equal to 1 (True or False) A one-tail hypothesis test is used whenever the alternative hypothesis is express as = (True or False) A two-tail hypothesis test is used when the alternative hypothesis is stated as < or > with one rejection area on left side. (True or False) The only way to lower the probability of both errors α and β at the same time, is to increase the sample size. (True or False)
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!
One of the Characteristic of a
A one-tail hypothesis test is used whenever the alternative hypothesis is express as = (True or False)
A two-tail hypothesis test is used when the alternative hypothesis is stated as < or > with one rejection area on left side. (True or False)
The only way to lower the probability of both errors α and β at the same time, is to increase the
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