Select the false statement from the following choices: A) A random variable is a numerical measure of the outcome of a probability experiment. B)When testing a hypothesis using the Classical Approach, if the sample proportion is too many standard deviations from the proportion stated in the null hypothesis, we reject the null hypothesis. C) As the sample size n increases, the density curve of t gets closer to the standard normal density curve. D) The notation z.35 is the z-score such that the area under the standard normal curve to the left of z.35 is 0.35
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!
Select the false statement from the following choices:
A) A random variable is a numerical measure of the outcome of a probability experiment.
B)When testing a hypothesis using the Classical Approach, if the sample proportion is too many standard deviations from the proportion stated in the null hypothesis, we reject the null hypothesis.
C) As the sample size n increases, the density curve of t gets closer to the standard normal density curve.
D) The notation z.35 is the z-score such that the area under the standard normal curve to the left of z.35 is 0.35
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