[For questions 8, 9, and 10] - The old Nokia 3310 battery lasts 31 hours on standby. Nokia produces a new Nokia that is advertised to last longer than the Nokia 3310. This was tested by charging the new Nokia and letting it die 80 times – the average time for thebattery to die was 33.5 hours, with a standard deviation of 4 hours. We want to find out how confident Nokia can be that the new phone lasts longer than the Nokia 3310.True or false? This will be a two-tailed test.FalseTrue

Given that Hypothesized Population Mean (\mu)(μ) = 3131 Sample Standard Deviation (s)(s) = 44…

Answered: [For questions 8, 9, and 10] - The old…

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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Two students, Donald and Martin, want to find out who has the higher GPA when compared to each of their schools. Donald has a GPA of 3.85, and his school has a mean GPA of 3.25 and a standard deviation of 0.4. Martin has a GPA of 3.75, and his school has a mean of 3.1 and a standard deviation of 0.5. Who has the higher GPA when compared to each of their schools?
Brianna and Miranda began arguing about who did better on their tests, but they couldn't decide who did better given that they took different tests. Brianna took a test in Art History and earned a 78.3, and Miranda took a test in Social Studies and earned a 61.2. Use the fact that all the students' test grades in the Art History class had a mean of 71.3 and a standard deviation of 11.7, and all the students' test grades in Social Studies had a mean of 62.3 and a standard deviation of 8.2 to answer the following questions. a) Calculate the z-score for Brianna's test grade. [Round your answer to two decimal places.] = 2 b) Calculate the z-score for Miranda's test grade. [Round your answer to two decimal places.] c) Which person did relatively better? Brianna O Miranda They did equally well. Submit Question logi $22 3 FI F5 F7 % & W R T. Y. こ9 * CO
Mason earned a score of 226 on Exam A that had a mean of 250 and a standard deviation of 40. He is about to take Exam B that has a mean of 550 and a standard deviation of 25. How well must Mason score on Exam B in order to do equivalently well as he did on Exam A? Assume that scores on each exam are normally distributed.
You're working on a data sets involving the survival times of mice that were induced with cancer then treated with a new experimental drug. The mean of your data is 242.3 days with a standard deviation of 50.6 days. Unfortunately you've just learned that ALL your data is wrong. The initial day of the study was input improperly - and in fact the data you have is all 4 days less than it should be. When the data are corrected, what will be the value of the standard deviation?
A study was conducted on students from a particular high school over the last 8 years. The following information was found regarding standardized tests used for college admitance. Scores on the SAT test are normally distributed with a mean of 988 and a standard deviation of 202. Scores on the ACT test are normally distributed with a mean of 23 and a standard deviation of 4.2. It is assumed that the two tests measure the same aptitude, but use different scales. Please solve A and B
A psychologist is studying the self image of smokers, as measured by the self-image (SI) score from a personality inventory. She would like to examine the mean SI score, μ, for the population of all smokers. Previously published studies have indicated that the mean SI score for the population of all smokers is 82and that the standard deviation is 12, but the psychologist believes that the value for the mean has decreased. She plans to perform a statistical test. She takes a random sample of SI scores for smokers and computes the sample mean to be 7.Based on this information, answer the questions below. What are the null hypothesis (H0) and the alternative hypothesis (H1) that should be used for the test?H0: μ is ?less than less than or equal togreater thangreater than or equal to not equal toequal to ? 82 74 12 H1: μ is ?less thanless than or equal togreater thangreater than or equal tonot equal toequal to ? 82 74 12 In the context of this test, what is a Type II error?A Type…
Jeremiah earned a score of 530 on Exam A that had a mean of 450 and a standard deviation of 40. He is about to take Exam B that has a mean of 63 and a standard deviation of 20. How well must Jeremiah score on Exam B in order to do equivalently well as he did on Exam A? Assume that scores on each exam are normally distributed.
Logan and Brian began arguing about who did better on their tests, but they couldn't decide who did better given that they took different tests. Logan took a test in Art History and earned a 76.8, and Brian took a test in English and earned a 68.9. Use the fact that all the students' test grades in the Art History class had a mean of 71.9 and a standard deviation of 11.6, and all the students' test grades in English had a mean of 61 and a standard deviation of 9.4 to answer the following questions.a) Calculate the z-score for Logan's test grade.z=z= [Round your answer to two decimal places.] b) Calculate the z-score for Brian's test grade.z=z= [Round your answer to two decimal places.]c) Which person did relatively better? Logan Brian They did equally well.
A random sample of 34 chemists from Washington state shows an average salary of $41857, the population standard deviation for chemist salaries in Washington state is $697. A random sample of 35 chemists from Florida state shows an average salary of $44632, the population standard deviation for chemist salaries in Florida state is $900. A chemist that has worked in both states believes that chemists in Washington make a different amount than chemists in Florida. At a=0.05 is this chemist correct? Let Washington be sample 1 and Florida be sample 2. The correct hypotheses are: Ο Ηο: μι μ2(claim) Ο Ηο: μι 2 με HAM12(claim) Ho: M₁ = H2 1 HAM12(claim) Since the level of significance is 0.05 the critical value is 1.96 and -1.96 The test statistic is: (round to 3 places) The p-value is: (round to 3 places)
A man who moves to a new city sees that there are two routes he could take to work. A neighbor who has lived there a long time tells him Route A will average 5 minutes faster than Route B. The man decides to experiment. Each day he flips a coin to determine which way to go, driving each route 20 days. He finds that Route A takes an average of 45 minutes, with standard deviation 3 minutes, and Route B takes an average of 49 minutes, with standard deviation 5 minutes. Histograms of travel times for the routes are roughly symmetric and show no outliers. Complete parts a and b. (...) a) Find a 95% confidence interval for the difference between the Route B and Route A commuting times, (µÂ ¯ µÃ) - The confidence interval is (.). (Round to two decimal places as needed.)
SHOW STEP BY STEP. pls
Two chemical companies can supply a raw material. The concentration of a particular element in this material is important. The mean concentration for both suppliers is the same, but you suspect that the variability in concentration may differ for the two companies. The standard deviation of concentration in a random sample of n₁ = 10 batches produced by company 1 is s₁ = 4.7 grams per liter, and for company 2, a random sample of n₂ = 16 batches yield s₂ = 5.8 grams per liter. Is there sufficient evidence to conclude that the two populations variances differ? Use a = 0.05. a. Because 0.321 < 0.657 <3.77, fail to reject the null hypothesis b. Because 0.265 < 0.657 <3.12, fail to reject the null hypothesis c. Because 0.386 < 0.657 <3.01, fail to reject the null hypothesis d. None among the choices

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