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5 centimeters per second and that Suppose that the standard deviation of burning rate is the burning rate has a distribution for which the conditions of the central limit theorem apply, 50 and stanso the distribution of the sample mean is pproximately normal with mean dard deviation 1n 2.5 110 0.79. The probability of making a type I error (or the signi cance level of our test) is equal to the sum of the areas that have been shaded in the tails of the normal distribution in Fig. 9-2. We may nd this probability as P1X 48.5 when 502 P1X 51.5 when 502. The probability of making a type I error ( or the signi cance level of our test) is equal o the sum of the areas that have been shaded in the tails of the normal distribution in Fig. 9-2. We may nd this probability as P1X 48.5 when 502 P1X 51.5 when 502. 502 P1X 51.5 when 502. PDF-417 2d Barcode encoder for office .Related: .NET QR Code Generation , QR Code Generating .NET Image, .NET QR Code Generating Size

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A NORMAL DISTRIBUTION, VARIANCE UNKNOWN in NET Encoder QR Code image on visual basicnet using barcode generating for (b) Is there evidence to support the assumption that interior temperature is normally distributed ( c) Compute the power of the test if the rue mean interior temperature is as high as 2275 (d) What sample size would be required to detect a true mean interior temperature as high as 2275 if we wanted the power of the test to be at least 09 (e) Explain how the question in part (a) could be answered by constructing a two-sided con dence interval on the mean interior temperature 9-31 A 1992 article in the Journal of the American Medical Association ( A Critical Appraisal of 98.

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6 Degrees F, the Upper Limit of the Normal Body Temperature, and Other Legacies of Carl Reinhold August Wundrlich ) reported body temperature, gender, and heart rate for a number of subjects The body temperatures for 25 female subjects follow: 978, 972, 974, 976, 978, 979, 980, 980, 980, 981, 982, 983, 983, 984, 984, 984, 985, 986, 986, 987, 988, 988, 989, 989, and 990 (a) Test the hypotheses H0: 986, 986 versus H1: using 005 Find the P-value (b) Compute the power of the test if the true mean female body temperature is as low as 980 (c) What sample size would be required to detect a true mean female body temperature as low as 98.

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2 if we wanted the power of the test to be at least 09 (d) Explain how the question in part (a) could be answered by constructing a two-sided con dence interval on the mean female body temperature (e) Is there evidence to support the assumption that female body temperature is normally distributed 9-32 Cloud seeding has been studied for many decades as a weather modi cation procedure (for an interesting study of this subject, see the article in Technometrics by Simpson, Alsen, and Eden, A Bayesian Analysis of a Multiplicative Treatment Effect in Weather Modi cation , Vol 17, pp 161 166) The rainfall in acre-feet from 20 clouds that were selected at random and seeded with silver nitrate follows: 180, 307, 198, 271, 223, 188, 318, 234, 212, 279, 319, 271, 250, 24.

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