The test statistic of z=2.48 is obtained when testing the claim that p≠0.632. a. Identify the hypothesis test as being two-tailed, left-tailed, or right-tailed. b. Find the P-value. c. Using a significance level of α=0.05, should we reject H0 or should we fail to reject H0? Click here to view page 1 of the standard normal distribution table. LOADING... Click here to view page 2 of the standard normal distribution table. LOADING... a. This is a two-tailed test. b. P-value=nothing (Round to three decimal places as needed.) c. Choose the correct conclusion below. A. Reject H0. There is sufficient evidence to support the claim that p≠0.632. B. Fail to reject H0. There is sufficient evidence to support the claim that p≠0.632. C. Fail to reject H0. There is not sufficient evidence to support the claim that p≠0.632. D. Reject H0. There is not sufficient evidence to support the claim that p≠0.632.
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!
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