need full and complete answer of this question
need full and complete answer of this question 2. The quality control team wish to investigate...
The rollover rate of sport utility vehicles is a transportation safety issue. Safety advocates claim that manufacturer A's vehicle has a higher rollover rate than that of manufacturer B. One hundred crashes for each of these vehicles were examined. The rollover rates were pa = 0.35 and PB = 0.25. (a) Does manufacturer A's vehicle have a higher population rollover rate than manufacturer B? Use a=0.10. (b) Compute the appropriate 90% confidence interval corresponding to your test in part (a).
When Ho: p = 0.25 is true and n = 10 only, the probability of cornmitting Type I error is about 0.08 which is substantially greater than the fixed α = 0.05. This is an issue for practical use of the hypothesis testing. By changing the null value 0.01 p 0.5 and the sample size 10Sn 1000, investigate the probability of committing Type I error. a. Complete the following table by the probability of committing Type I error. (First, write...
7. A study was conducted to investigate the effectiveness of a new drug for treating Stage 4 AIDS patients. A group of AIDS patients was randomly divided into two groups. One group received the new drug; the other group received a placebo. The difference in mean subsequent survival (those with drugs - those without drugs) was found to be 1.04 years and a 95% confidence interval was found to be 1.04 ± 2.37 years. Based upon this information: Select one...
I. Matching Write your answers in the blanks provided. (2 pt. each) 8. The symbol used in the alternate hypothesis to indicate it is a two-tailed test. ___________ 9. Every null hypothesis is written with what type of equality or inequality symbol? __________ 10. In hypothesis testing, the level of significance α describes the probability of making a ____________ error. __________ 11. In hypothesis testing, if the P-value < α , _____________ the null hypothesis. __________ 12. In hypothesis testing,...
The average annual miles driven per vehicle in the United States is 11.1 thousand miles, with σ ≈ 600 miles. Suppose that a random sample of 41 vehicles owned by residents of Chicago showed that the average mileage driven last year was 10.9 thousand miles. Does this indicate that the average miles driven per vehicle in Chicago is different from (higher or lower than) the national average? Use a 0.05 level of significance. What are we testing in this problem?...
The average annual miles driven per vehicle in the United States is 11.1 thousand miles, with σ ≈ 600 miles. Suppose that a random sample of 41 vehicles owned by residents of Chicago showed that the average mileage driven last year was 10.9 thousand miles. Does this indicate that the average miles driven per vehicle in Chicago is different from (higher or lower than) the national average? Use a 0.05 level of significance. What are we testing in this problem?...
The average annual miles driven per vehicle in the United States is 11.1 thousand miles, with σ ≈ 600 miles. Suppose that a random sample of 31 vehicles owned by residents of Chicago showed that the average mileage driven last year was 10.8 thousand miles. Does this indicate that the average miles driven per vehicle in Chicago is different from (higher or lower than) the national average? Use a 0.05 level of significance. What are we testing in this problem?...
Question Help . The data found below measure the amounts of greenhouse gas emissions from three types of vehicles. The measurements are in tons per year, expressed as CO2 equivalents. Use a 0.05 significance level to test the claim that the different types of vehicle have the same mean amount of greenhouse gas emissions. Based on the results, does the type of vehicle appear to affect the amount of greenhouse gas emissions? Click the icon to view the data. What...
Need help with this testing a population proportion problem. B A Response cats Hypothesis Test about a Population Proportion dogs cats =COUNTA(A2:A51) dogs Sample Size Response of Interest Count for Response Sample Proportion dogs cats =D5/D3 cats cats Hypothesized Value cats cats =SQRT(D8*(1-D8)/D3) Standard Error Test Statistic z cats dogs dogs dogs dogs =NORM.S.DIST(D11, TRUE) 14 p-value (Lower Tail) p-value (Upper Tail) p-value (Two Tail) 15 = 2*MIN(D13,014) Enter these same formulas in your downloaded Excel spreadsheet. Use the values...
Question: (Need the hand-written answer, not using minitab, please) Two quality control technicians measured the surface finish of a metal part, obtaining the data shown. Assume that the measurements are normally distributed. a) Test the hypothesis that the mean surface finish measurements made by the two technicians are equal. Use α = 0.05 and assume equal variances. b) What are the practical implications of the test in part (a)? Discuss what practical conclusions you would draw if the null hypothesis...