2. The Air Quality Index (AQI) is used to measure air quality near roadways and industrialregions in large cities. Governments report AQI values for common pollutants to keepthe public informed about air quality. AQI values of 0-50 are regarded as good, 51-100as moderate, 101-150 as unhealthy for sensitive individuals, 151-200 as unhealthy,201-300 as very unhealthy, and beyond 300 as hazardous.The following table gives AQI values for S02 (Sulphur Dioxide) and CO (CarbonMonoxide) from a random sample of 20 locations in California, between the years 2000and 2010.Location1234567891011121314151617181920Summary StatisticsSO2 AQI14331101277304721334019₁5.6; s = 7.03CO AQI366231865168752445852512₂9.3; s = 10.42AQI Diff (SO2-CO)-2-2-31-20-8-522-9-5-7-15-23-2-5-1-2-3X=-3.7;s = 8.84 (a) Why are these data best regarded as a paired sample?(b) Do the data provide evidence that California's S02 and CO AQI leves differ pnaverage? Test at the 10% level of significance(c) Construct and interpret a 95% confidence interval for the mean difference in SO2and CO AQI levels for California.(d) Does the interval from (c) lead to a conclusion that agrees with the test from (b)?Explain why or why not.a diffonanses Do the

Given that, The two variables are AQI values for SO2 (Sulphur dioxide) and CO (Carbon Monoxide). n…

Answered: are these data best regarded as a…

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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What is the rejection region for the test (at a=0.05)? concludes that the data provide sufficient evidence to indicate that the mean user maintenance cost does vary among the three state installations. Would we be able to know which two state installations vary? Briefly explain. How can we find a 95% confidence interval for the difference between the mean cost in Texas and the mean cost in Kentucky? If Texas was chosen as base level and a similar model was fit to the data, what would be the value of the estimated intercept?
For a 4-unit class like Statistics, students should spend average of 12 hours studying for the class. A survey was done on 29 students, and the distribution of total study hours per week is bell-shaped with a mean of 14 hours and a standard deviation of 2.7 hours.Use the Empirical Rule to answer the following questions.a) 68% of the students spend between hours and hours on Statistics each week.b) 95% of the students spend between hours and hours on Statistics each week.c) 99.7% of the students spend between hours and hours on Statistics each week.
1) Is the test significant? A. Unable to determine B. No, p = .448 C. Yes, p = <. 001 D. Yes, p = .448 2) In order to determine where the main mean differences lie, the researcher would also need to conduct a ____? A. Correlation B. MANOVA C. post-hoc analysis D. t-test
For a 4-unit class like Statistics, students should spend average of 12 hours studying for the class. A survey was done on 26 students, and the distribution of total study hours per week is bell-shaped with a mean of 13 hours and a standard deviation of 3.4 hours.Use the Empirical Rule to answer the following questions.a) 68% of the students spend between hours and hours on Statistics each week.b) 95% of the students spend between hours and hours on Statistics each week.c) 99.7% of the students spend between hours and hours on Statistics each week.
7. In one state, the mean time served in prison by convicted burglars is 18.7 months. A researcher would like to perform a hypothesis test to determine whether the mean amount of time served by convicted burglars in her hometown is different from 18.7 months. She takes a random sample of 11 such cases from court files in her home town and finds that = 21.4 months and s = 7 months. Use a 5% significance level to perform the test. Assume normally distributed population. Perform critical-value (classical) test. Be sure to identify the null and alternate hypotheses and interpret your results. a) Hypotheses: b) Test statistic: c) Critical-value: d) Hypothesis test conclusion and interpretation:
For a 4-unit class like Statistics, students should spend average of 12 hours studying for the class. A survey was done on 29 students, and the distribution of total study hours per week is bell-shaped with a mean of 14 hours and a standard deviation of 3.3 hours.Use the Empirical Rule to answer the following questions.a) 68% of the students spend between ? hours and ? hours on Statistics each week.b) 95% of the students spend between ? hours and ? hours on Statistics each week.c) 99.7% of the students spend between ? hours and ? hours on Statistics each week.
2. A common claim is that garlic lowers cholesterol levels. In a test of the effectiveness of garlic, 49 subjects were treated with doses of raw garlic, and their cholesterol levels were measured before and after the treatment. The changes in their levels of LDL cholesterol have a mean of 0.4 and a standard deviation of 21. Use the sample n = 49 to construct a 95% confidence interval estimate of the mean net change in LDL cholesterol after the garlic treatment. n=49₁ x=0,4₁ 5=21₁ CL = 95%, df=n-1 df=49-1=48
in a test of the effectiveness of garlic for lowering cholesterol, 43 subjects were treated with garlic in a processed tablet form. Cholesterol levels were measured before and after the treatment. The changes in their levels of LDL cholesterol have a mean of 5.7 and a standard deviation of 17.7. Construct a 99% confidence interval estimate of the mean net change in LDL cholesterol after the garlic treatment. What does the confidence interval suggest about the effectiveness of garlic and reducing LDL cholesterol?
For a 4-unit class like Statistics, students should spend average of 12 hours studying for the class. A survey was done on 30 students, and the distribution of total study hours per week is bell-shaped with a mean of 14 hours and a standard deviation of 2.7 hours. Use the Empirical Rule to answer the following questions. a) 68% of the students spend between hours and hours on Statistics each week. b) 95% of the students spend between hours and hours on Statistics each week. c) 99.7% of the students spend between hours and hours on Statistics each week.

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