Assume that the differences are normally distributed. Complete parts (a) through (d) below. Observation 1 2 3 4 7 8 X; 46.0 49.1 44.6 49.8 48.8 50.8 46.7 50.0 Yi 49.4 47.6 46.8 54.6 50.4 50.4 46.8 52.7 (a) Determine d; = X¡ - Y¡ for each pair of data. Observation 1 2 3 4 6 7 8 d; (Type integers or decimals.) (b) Compute d and sd. d = (Round to three decimal places as needed.) %3D (Round to three decimal places as needed.) (c) Test if µa < 0 at the a = 0.05 level of significance. What are the correct null and alternative hypotheses? O A. Ho: Hd > 0 H1: Hd <0 B. Họ: Hd =0 0 > Prl :'H O D. Ho: Hd < 0 H1: Hd C. Ho: Hd <0 H1: Hd>0 = 0 P-value = (Round to three decimal places as needed.) Choose the correct conclusion below. O A. Do not reject the null hypothesis. There is sufficient evidence that Hg < 0 at the a = 0.05 level of significance. B. Do not reject the null hypothesis. There is insufficient evidence that Ha <0 at the a = 0.05 level of significance. C. Reject the null hypothesis. There is insufficient evidence that Ha <0 at the a = 0.05 level of significance. D. Reject the null hypothesis. There is sufficient evidence that Ha <0 at the oa = 0.05 level of significance.
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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