The table summarizes data on smoking status and perceived risk of smoking and is consistent with summary quantities obtained in a Gallup Poll conducted inNovember 2002. Assume that it is reasonable to consider these data as representative of the U.S. adult population.Perceived RiskSmoking Status Very Harmful Somewhat Harmful Not Too Harmful Not at All HarmfulCurrent SmokerFormer SmokerNever Smoked5727170153293721(a) What is the probability that a randomly selected U.S. adult is a former smoker? (Give the answer to four decimals places.)(b) What is the probability that a randomly selected U.S. adult views smoking as very harmful? (Give the answer to four decimals places.)(c) What is the probability that a randomly selected U.S. adult views smoking as very harmful given that the selected individual is a current smoker?(Give the answer to four decimals places.)(d) What is the probability that a randomly selected U.S. adult views smoking as very harmful given that the selected individual is a former smoker?(Give the answer to four decimals places.)(e) What is the probability that a randomly selected U.S. adult views smoking as very harmful given that the selected individual never smoked? (Givethe answer to four decimals places.)(f) How do the probabilities computed in Parts (c), (d), and (e) compare?O probabilities decreaseO probabilities increase

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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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Suppose a group is interested in determining whether teenagers obtain their drivers license at approximately the same average age across the country. Five teenagers from each region of the country were randomly selected. The data collected is their age at which the teenagers obtained their drivers licenses and is summarized in the table below. Test the hypothesis that the five regions produce the same mean average for a teenage driver’s license. Northeast South West Central East 16.3 16.9 16.4 16.2 17.1 16.1 16.5 16.5 16.6 17.2 16.4 16.4 16.6 16.5 16.6 16.5 16.2 16.1 16.4 16.8 (a)What are the hypotheses? (b)What is the F – Statistic? (c) What is the p – value? (d) What can you conclude about the null hypothesis? (e) What can you conclude about the population means?
Listed below are head injury data from crash test dummies used in cars of various sizes. These measurements are in hic, which denotes a standard head injury criterion. Use a 0.05 significance level to test the null hypothesis that the different car categories have the same mean.
What is the complete solution and answer to the given problem involving ANOVA?
According to data released by the Organization for Economic Cooperation and Development (OECD) in 2018, the French spend more time eating their meals than anybody else. Perform a hypothesis test to determine if a difference exists between the average time an American spends eating lunch when compared to a person from France. The given data represents the time, in minutes, that random French and American diners spent at lunch. Assume that the population variances are equal. American 21 French 24 17 18 O A. tx=2.34 O B. t=1.41 O C. t = 1.63 O D. t = -2.20 X 17 20 20 28 25 16 18 29 17 20 16 If Population 1 is defined as French diners and Population 2 is defined as American diners, then what is the test statistic for this hypothesis test? Round to two decimal places as needed. Clear all Check answer
The mean number of sick days an employee takes per year is believed to be about 10. Members of a personnel department do not believe this figure. They randomly survey 8 employees. The number of sick days they took for the past year are as follows: 10; 5; 13; 3; 11; 8; 6; 9. Let X = the number of sick days they took for the past year. Should the personnel team believe that the mean number is about 10? Conduct a hypothesis test at the 5% level.Note: If you are using a Student's t-distribution for the problem, you may assume that the underlying population is normally distributed. (In general, you must first prove that assumption, though.) What is the test statistic? (If using the z distribution round your answers to two decimal places, and if using the t distribution round your answers to three decimal places.) t = Construct a 95% confidence interval for the true mean. Sketch the graph of the situation. Label the point estimate and the lower and upper bounds of the confidence…
The work week for adults in the US that work full time is normally distributed with a mean of 47 hours. A newly hired engineer at a start-up company believes that employees at start-up companies work more on average then most working adults in the US. She asks 12 engineering friends at start-ups for the lengths in hours of their work week. Their responses are shown in the table below. Test the claim using a 10% level of significance. Hours 47 47 55 51 48 65 51 52 50 49 51 54 What are the correct hypotheses? Ho: Select an answer ✓ ? ✓ Ha: Select an answer ✓ Test Statistic= hours Based on the hypotheses, find the following: p-value= hours (Give answer to at least 4 decimal places.) (Give answer to at least 4 decimal places).
There are three different ways I can go to work in the morning. I want to see if there is a difference in the distributions of travel-times between the three different ways. The sample data is depicted below. I claim there is a difference in mean travel times between the three different routes. I cannot guarantee that the distributions of these travel times are Normal. Travel Time in Minutes Interstate 22 22 21 23 22 21 Route 15 22 18 20 18 Back Roads 19 19 18 19 22 (a) Enter the rank values in the same order as in the original sample. Interstate Route 15 Back Roads (b) Give the value of the test statistic: (c) Test my claim at the 10% significance level.Enter the critical value: There is sufficient evidence to conclude that the population means are not equal.YesNo (d) Does your conclusion change at the 5% significance level?YesNo
The price of a share of stock divided by the company's estimated future earnings per share is called the P/E ratio. High P/E ratios usually indicate "growth" stocks, or maybe stocks that are simply overpriced. Low P/E ratios indicate "value" stocks or bargain stocks. A random sample of 51 of the largest companies in the United States gave the following P/E ratiost. 9 20 11 35 19 13 15 21 29 53 16 26 21 14 21 27 10 12 47 14 40 18 60 72 33 14 8 49 5 16 8 19 12 31 67 51 26 18 17 20 19 13 25 23 27 44 20 27 19 18 32 (a) Use a calculator with mean and sample standard deviation keys to find the sample mean x and sample standard deviation s. (Round your answers to one decimal place.) (b) Find a 90% confidence interval for the P/E population mean u of all large U.S. companies. (Round your answers to one decimal place.) lower limit upper limit (c) Find a 99% confidence interval for the P/E population mean u of all large U.S. companies. (Round your answers to one decimal place.) lower limit upper…
8. Childhood participation in sports, cultural groups, and youth groups appears to be related to improved self-esteem for adolescents (McGee, Williams, Howden-Chapman, Martin, & Kawachi, 2006). In a representative study, a sample of n 100 adolescents with a history of group participation is given a stan- dardized self-esteem questionnaire. For the general population of adolescents, scores on this questionnaire form a normal distribution with a mean of p. = 50 and a standard deviation of o = 15. The sample of group- participation adolescents had an average of M = 53.8. a. Does this sample provide enough evidence to con- clude that self-esteem scores for these adolescents %3D %3D are significantly different from those of the general population? Use a two-tailed test with a = b. Compute Cohen's d to measure the size of the difference. .05. c. Write a sentence describing the outcome of the hypothesis test and the measure of effect size as it would appear in a research report.
"Asbestos represents one of the most heavily studied occupational and environmental hazards of human history." Beh and Smith (2011) review the use of odds ratio (OR) within the subdiscipline of occupational exposure. The concept of 'risk' with respect to a particular exposure has been and continues to be a fundamental standard measurement for assessing a "hazard." ORs are regularly used to approximate relative risk (RR). The table below is a hypothetical subset of workers involved in the industrial manufacturing for 6 months or more between the years of 1940 - 1970. We are looking at the exposure of the worker to asbestos in the workplace and if they developed asbestosis during their lifetime. Asbestos Exposure No Asbestos Exposure Asbestosis 10,477 3,915 No Asbestosis 7,187 5,890 Calculate the odds ratio and round your answer to two decimal places
What is the 1.test statistic and 2. p-value for this test statistics? The test is a two-tailed test.
write a statistical summary for participants' demographic and health detailes that include important variables such as albumin levels (g/dl), age, gender, and smoking status?

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