MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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X has a standard normal distribution . Derive the mean , variance, cdf and pdf of |X|. Show working
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- Assume the samples are random and independent, the populations are nomally distributed, and the population variances are equal. The table available below shows the prices (in dollars) for a sample of automobile batteries. The prices are classified according to battery type. At a = 0.10, is there enough evidence conclude that at least one mean battery price is different from the others? Complete parts (a) through (e) below. E Click the icon to view the battery cost data. (a) Let u1. P2. H3 represent the mean prices for the group size 35, 65, and 24/24F respectively. Identify the claim and state Ho and H. H Cost of batteries by type The claim is the V hypothesis. Group size 35 Group size 65 Group size 24/24F 101 111 121 124 D 146 173 182 278 124 140 141 89 (b) Find the critical value, Fo, and identify the rejection region. 90 79 84 The rejection region is F Fo, where Fo = (Round to two decimal places as needed.) (c) Find the test statistic F. Print Done F= (Round to two decimal places as…arrow_forwardUse the normal distribution of IQ scores , which has a mean of 90 and a standard deviation of 14, and the following table with the standard scores and percentiles for a normal distribution to find the indicated quantity. view the table: Standard Scores and Percentiles for a Normal Distribution (cumulative values from the left) Full data set Open in StatCrunch + Copy to Clipboard + Open in Excel + Standard score % Standard score % minus−3.0 0.13 0.1 53.98 minus−2.5 0.62 0.5 69.15 minus−2 2.28 0.9 81.59 minus−1.5 6.68 1 84.13 minus−1 15.87 1.5 93.32 minus−0.9 18.41 2 97.72 minus−0.5 30.85 2.5 99.38 minus−0.1 46.02 3 99.87 0 50.00 3.5 99.98 The percentage of scores between 62 and 118 is ________%. Round to two decimal places as needed.arrow_forwardPlease assist with all questions and add R script as well.arrow_forward
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