MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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step 1 of 3: find the second quartile step 2 of 3: find the first quartile step 3 of 3: find the third quartile
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- The average life expectancy of tires 40,000 miles. The company has rece The manager hopes to find out wheth life test, 40 tires were used, and their following SPSS results: One-Sample Statistics Std. Dev Mean time 40881.8262 40 2945 One- df Sig. (2-taile 1.893 Set up Ho: M = 40,000 %3D HA: The test statistic is 1.893 The distribution of the test stati Make the statistical decision (o Express the statistical decisionarrow_forwardfind the Empirical Relation between them. the lower and upper quartile also mention the relation betweenarrow_forwardA patient is classified as having gestational diabetes if their average glucose level is above 140 milligrams per deciliter (mg/dl) one hour after a sugary drink is ingested. Rebecca's doctor is concerned that she may suffer from gestational diabetes. There is variation both in the actual glucose level and in the blood test that measures the level. Rebecca's measured glucose level one hour after ingesting the sugary drink varies according to the Normal distribution with μ=140+5 mg/dl and σ=5+1 mg/dl. Using the Central Limit Theorem, determine the probability of Rebecca being diagnosed with gestational diabetes if her glucose level is measured: Once? n=5+2 times n=5+4 times Comment on the relationship between the probabilities observed in (a), (b), and (c). Explain, using concepts from lecture why this occurs and what it means in context.arrow_forward
- Heights (cm) and weights (kg) are measured for 100 randomly selected adult males, and range from heights of 134 to 192 cm and weights of 40 to 150 kg. Let the predictor variable x be the first variable given. The 100 paired measurements yield x = 166.94 cm, y = 81.26 kg, r= 0.352, P-value = 0.000, and y = - 101 + 1.04x. Find %3D the best predicted value of y (weight) given an adult male who is 145 cm tall. Use a 0.10 significance level. The best predicted value of y for an adult male who is 145 cm tall is kg. (Round to two decimal places as needed.)arrow_forwardCan you please help me answer this questionarrow_forwardNeed help with finding Ho: and H1: u1=mean age of patients who do NOT develop SSI u2= mean age of patients who do develop SSI Use a significance level of a=0.05arrow_forward
- Please do this on MS EXCEL. Please show the step by step process on EXCEL. So I can use it as a guide. Thank you.arrow_forwardTrace metals in drinking water affect the flavor and an unusually high concentration can pose a health hazard. Ten pairs of data were taken measuring zinc concentration in bottom water and surface water of a water source. Location 1 2 3 4 55 6 7 00 8 9 10 Zinc concentration in bottom water in surface water Zinc concentration 430 .266 567 531 .707 .716 .651 .589 .469 .723 415 238 .390 .410 .605 .609 .632 .523 .411 .612 Do the data support that the zinc concentration is less on the surface than the bottom of the water source, at the a = 0.1 level of significance? Note: A normal probability plot of difference in zinc concentration between the bottom and surface of water indicates the population could be normal and a boxplot indicated no outliers. a. Express the null and alternative hypotheses in symbolic form for this claim. Assume Ha 1- μ2, where ₁ is the population mean zinc concentration in the bottom of water and H2 is the mean zinc concentration in the surface of water. Ho: Select an…arrow_forward
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