Consider the compressive strength data from the table below.Consider the compressive strength data from the table below.Compressive Strength (in psi) of 80 Aluminum-Lithium Alloy Specimen180177 1051071299412591120152178921491071901181772181782391561331611421421421291829793177189148133159 186117122125164143102144125216175166104188242939911511113911015516992971091761451781311799422691130 253157186132156115128 16118999What proportion of the specimens exhibit compressive strength of at least 200 psí? Enter the exact answer.i

Solution: n= 80 Sample size of Aluminum Lithium Alloy Specimen. X represent the Aluminum Lithium…

Answered: Consider the compressive strength data…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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A popular theory is that presidential candidates have an advantage if they are taller than their main opponents. Listed are heights (in centimeters) of randomly selected presidents along with the heights of their main opponents. Complete parts (a) and (b) below. Height (cm) of President 185 170 179 191 194 179 9 Height (cm) of Main Opponent 170 184 174 166 194 182 Identify the test statistic. t= 0.57 (Round to two decimal places as needed.) Identify the P-value P-value = 0.286 (Round to three decimal places as needed.) What is the conclusion based on the hypothesis test? Since the P-value is greater than the significance level, fail to reject the null hypothesis. There is not sufficient evidence to support the claim that presidents tend to be taller than their opponents. b. Construct the confidence interval that could be used for the hypothesis test described in part (a). What feature of the confidence interval leads to the same conclusion reached in part (a)? The confidence interval…
Normal text Calibri BIUA 10 2 |II 3 I. 4 1) Freeze Inc. is an air conditioning company located in Lakeland, Florida. They collected data for the number of air conditioning units sold in the Central Florida area and for the outside temperature on the day that sales took place. The Sales Manager put the following table together: Outside Temperature Sales (Degrees F) (Number of air conditioning units sold). 68 4 72 78 8 81 10 84 14 86 15 89 21 91 20 93 22 94 25 Plot a scatter diagram for the data provided on the table above and the linear regression line calculated in topic (b). Consider that: Y: number of air conditioning units sold X: outside temperature (degrees F) Guidance: graph should look like the one presented in Figure 4.2 of textbook. Graph plotted by MS Excel, as a result of the Regression function will not be accepted. a) Perform the linear regression calculation and provide the linear regression equation that describes the relationship between Y (number of air conditioning…
Please help me with B

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