If 8 cycles were timed originally, what is the current accuracy of element 1, assuming we want 90% confidence? (Enter your answer as a decimal.)Observer: Dr. IkumaFeb. 19, 2016n = 8Element Average (min) Standard deviation (min) Required cycles*12.90.621321.60.482532.40.611840.80.12754.11.4323.31.66470.40.11781.90.44159.1.20.219Total18.62.5*90% CI, 10% accuracy

Given information: The descriptive measures for 9 elements are given.

Answered: If 8 cycles were timed originally, what…

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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Please complete the following summary table for the following scenario. Please be sure to round your answers correctly to two decimal places (else it is marked wrong). An educational psychologist is interested in the effect of reading on reasoning abilities. Ten students from grades six through eight are enrolled in a reading club that requires daily reading of books for thirty days. Student reasoning ability is tested using a logic quiz with twenty question. The number of correct answers was recorded for each student. The researcher administered a logic quiz before, during, and after the thirty day reading assignment. Means are included below. Did the reading regularly affect reasoning? Before; 10.70 During: 11.50 After: 14.00 Source Time Error Sum of Squares 59.00 18.00 df 2 27 Mean Squares 29.5 0.67 F 44.03
q2
A poll uses responses everal questions to calculate a "Happiness" index that measures overall happiness. An article included the happiness index for the 7 years between 2008 and 2016. Also included in the article were the percentages of people who responded "somewhat agree" or "strongly agree" to the following statements. Statement 1 (happy with life) 1: At this time, I'm generally happy with my life. Statement Year 2008 2009 2010 2011 2013 2015 2016 2 (won't benefit): I won't get much benefit from the things that I do anytime soon. Happiness Index 36 36 34 32 36 33 30 Happy with Life Statement (percentage somewhat or strongly agree) 82 83 78 79 83 80 82 Won't Benefit Statement (percentage somewhat or strongly agree) 31 37 35 39 39 37 42 (a) Calculate the value of the correlation coefficient for Happiness index and the response to the Happy with life statement. (Round your answer to four decimal places.) 0.8321 x (b) Calculate the value of the correlation coefficient for Happiness…
Many graduate school programs in the United States require applicants to take the Graduate Record Exam, also called the GRE. One part of the exam, the GRE-Quantitative test, assesses students' level of quantitative reasoning and thinking - exactly the skills we are building in our class this semester. The highest score possible on the GRE-Quantitative test is a score of 800. Many graduate schools think that a score of 700 or higher on the GRE-Quantitative test shows that the applicant has strong quantitative skills. The table shows the number of people who took the GRE between 2003 and 2006 who had GRE-Quantitative test scores of 700 or higher. All of the people represented in the table planned to major in one of the two listed areas of the social sciences. a. Complete the table. 1 N D AS GRE-QUANTITATIVE SCORE
Question 5 Read the problem carefully and use UPS Check to solve the problem. Shaw your mathematical thinking and record your final solution. Suppose you randomly surveyed 16 "Tweens" -identified as children 8 to 12 years of age; You asked them, "How many hours did you spend on social media yesterday?" The results are as follows: (3,8,10,8,7,6,5.6,7,8,9,7,8.9,6,7). Use a graphing calculator to find the 5-number summary.
The time data is therefore the (Chebyshev's Rule, Empirical Rule) says we should expect of the time data to be minutes.
Which combination would lead you to Reject H₂? a = .05 p-value = .045 a = .01 p-value = .059 O a = .05 p-value = .059 O a = .01 p-value = .045
Express the confidence interval (72.5%,86.7%) in the form of ˆp±ME_______% ± ________ %
A researcher designed a study to test whether caffeine use enhanced performance time to run a 100 meter sprint. The participants (n=30) ran a 100 meter sprint before the consumption of caffeine on day 1 and then they ran another 100 meter sprint on the following day 2 after ingesting caffeine. The average time taken to run the 100 meter sprint on day 1 was (M1) and the average to run on day 2 after caffeine was (M2). The variance for this study was calculated to be (S2). Does caffeine use improve the running time in the 100 meter sprint (e.g., lower time)? Use all of the data provided to you below and test at an alpha of 0.05. M1 = 26.53M2 = 14.69S2 = 207.75n=30 a) state null and alternate hypothesis b) what is the critical value c) what is the obtained value d) conclusion

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