An inventor, working at a science tech lab, believes innovations in satellites are increasing. The inventor would like to test the claim that the average number of new ideas for satellite development per month at the science tech lab is over 60 new ideas. Using the computed test statistic of 1.05 and the critical value of 1.28, is there enough evidence for the inventor to reject the null hypothesis? Use the graph below to interpret the critical value. First select the appropriate test type (left-, right-, or two- tailed), then plot the points along the x-axis (for the critical value and test statistic), and use them to choose the appropriate interpretation. Move the blue dot to choose the appropriate testTest Statistic 1.05 Select the correct answer below:Yes. There is sufficient evidence for the inventor to reject the null hypothesis because the test statistic does not fallin the rejection region.No. There is NOT sufficient evidence for the inventor to reject the null hypothesis because the test statistic does notfall in the rejection region.Yes. There is sufficient evidence for the inventor to reject the null hypothesis because the critical value falls in therejection region.No. There is NOT sufficient evidence for the inventor to reject the null hypothesis because the critical value doesnot fall in the rejection region.

Answered: is there enough evidence for the…

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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An inventor, working at a science tech lab, believes innovations in satellites are increasing. The inventor would like to test the claim that the average number of new ideas for satellite development per month at the science tech lab is over 60 new ideas. Using the computed test statistic of 1.05 and the critical value of 1.28, is there enough evidence for the inventor to reject the null hypothesis?

Use the graph below to interpret the critical value. First select the appropriate test type (left-, right-, or two- tailed), then plot the points along the x-axis (for the critical value and test statistic), and use them to choose the appropriate interpretation.