The average YouTube user spends 40 minutes per session, using YouTube (μ = 40), and σ is unknown. Test whether ARC students who are YouTube users (n = 16, M = 45, SS = 6000) differ from the average YouTube user on number of minutes spent using YouTube per session. α = .05. What is the alternative hypothesis (H1)

The average YouTube user spends 40 minutes per session, using YouTube (μ = 40), and σ is unknown. Test whether ARC students who are YouTube users (n = 16, M = 45, SS = 6000) differ from the average YouTube user on number of minutes spent using YouTube per session. α = .05. What is the alternative hypothesis (H1)

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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II. Solve the mean (u), variance (a), and standard deviation (a2), of the given. Show your solution. 1. A random sample size 5 is taken from a population of 25 with and a= 4 H= 15, 2. An independent random sample size 120 is taken with replacement from an infinite population with = 85, and o2 = 14 3. A random sample size of 50 taken from a population of 1500 with u= 5. and ? = 10 (u) =
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A researcher wants to make an equation that will predict a person's support for domestic surveillance from a variety of demographic characteristics (e.g., age, income). What method will they use? A) Multiple regression B) Correlation C) Two-factor ANOVA D) One-sample t-test
According to the ACT Profile Report-National, the ACT composite scores are normally distributed with µ=21.0 and σ=5.4. Many charter schools receive funding from the state government without providing accountability measures as required by the public schools. A sample of 36 high school seniors is randomly selected from charter schools. Their average ACT composite score is 19.8. Is the average ACT composite score of seniors from charter schools lower than 21.0 assuming α=0.05?
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To compare the dry braking distances from 30 to 0 miles per hour for two makes of automobiles, a safety engineer conducts braking tests for 35 models of Make A and 35 models of Make B. The mean braking distance for Make A is 43 feet. Assume the population standard deviation is 4.6 feet. The mean braking distance for Make B is 46 feet. Assume the population standard deviation is 4.5 feet. At α=0.10, can the engineer support the claim that the mean braking distances are different for the two makes of automobiles? Assume the samples are random and independent, and the populations are normally distributed. The critical value(s) is/are Find the standardized test statistic z for μ1−μ2.
3.2 Evaluate the value of e²dz using Simpson's rule.
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9.1 Q 8 ignore this, just to rememebr what question it is.
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