37674 1091676 qdany? Start A software company is interested in improving customer satisfaction rate from the 68% currently claimed. The company sponsored a survey of 198 customers and found that 146 customers were satisfied. What is the test statistic z? Ex: 1.23
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- A problem with a telephone line that prevents a customer from receiving or making calls is upsetting to both the customer and the telephone company. The Sheet 8 contains samples of 20 problems reported to two different offices of a telephone company and the time to clear these problems (in minutes) from the customers' lines: test the Null hypothesis that the time to clear the problem doesn't significantly differ across to centers at the 0.03 level. Sheet 8 Location 1. Location 2 1,48 7,55 1,75 3,75 0,78 12,00 2,85 1,10 0,52 0,60 1,60 0,52 4,15 3,30 3,97 2,10 1,48 0,58 3,10 13,00 1,02 3,75 0,53 0,65 0,93 1,92 1,60 0,60 0,80 1,53 1,05 4,23 6,32…7. The manufacturer of an Engine Energizer System (EES) claims that it improves gas mileage and reduces emissions in automobiles by using magnetic-free energy to increase the amount of oxygen in the fuel for greater combustion efficiency. Following are test results, performed under international and U.S. government agency standards, on a random sample of 14 vehicles. The data (also see file M09_Gas_Paired.txt or M09_Gas_Q7.xlsx) give the carbon monoxide (CO) levels, in parts per million, of each vehicle tested, both before installation of EES and after installation. (a)Test at the 1% significance level whether, on average, EES reduces CO emissions (b)Obtain a 99% confidence interval for the difference between the mean CO emissions before and after installation of EES corresponding to the test in part (a) (c)Interpret the confidence interval obtained in part (b). Does this interval support the conclusion of the hypothesis test in part (a)? Justify your answerA simple random sample of front occupants involved in car crashes is obtained. Among 3000 occupants not wearing seat belts, 31 were killed. Among 8000 occupants wearing seatbelt 92 were killed. Perform a hypothesis test at the 1% significance level to determine if the seatbelt is effective in avoiding fatalities in car crashes. a) Define parameters and state null and alternative hypothesis b) Find test statistics c) Find the critical value d) Conclusion
- 19. An article in International Journal of Electrical Power & Energy Systems "Stochastic Optimal Load Flow Using a Combined Quasi-Newton and Conjugate Gradient Technique" (1989, Vol. 11(2), pp. 85-93) considered the problem of optimal power flow in electric power systems and included the effects of uncertain variables in the problem formulation. The method treats the system power demand as a normal random variable with 0 mean and unit variance. What is the probability that the power demand is greater than -2 and less than 2? Round your answer to three decimal places (e.g. 98.765).1. The Federal Seed Act (FSA) dictates minimum germination standard for vegetable seed in interstate commerce (https://www.law.cornell.edu/cfr/text/7/201.31). The table at the link states that carrot seed must have a germination rate at least 55%. This means that if the seeds are planted under appropriate conditions, at least 55% of them will sprout.A producer of carrot seed would like to ensure their seeds exceed the standard. They take random samples of 1200 seeds and plant them under appropriate conditions. Of the 1200 seeds, 712 of them germinate. A. State the question of interest and parameter of interest. b. State the null and alternative hypotheses. c. Write down an inventory of the information given. d. Check the conditions needed for inference. There are two conditions. State each condition and whether it is met in this study. e. Calculate the test statistic. f. Calculate the p-value. (Drawing a picture is always helpful.) g. Write the conclusion in context.A local chess club claims that the length of time to play a game has a mean of 43 minutes or more. Write sentences describing type I and type II errors for a hypothesis test of this claim. A type I error will occur if the actual mean of the length of time to play a game is ▼ equal to less than or equal to not equal to greater than or equal to greater than less than 43 minutes, but you ▼ reject fail to reject the null hypothesis, ▼ Upper H 0 : mu greater than or equals 43H0: μ≥43 Upper H 0 : mu not equals 43H0: μ≠43 Upper H 0 : mu equals 43H0: μ=43 Upper H 0 : mu less than or equals 43H0: μ≤43 Upper H 0 : mu greater than 43H0: μ>43 Upper H 0 : mu less than 43H0: μ<43 . A type II error will occur if the actual mean of the length of time to play a game is ▼ greater than less than or equal to less than greater than or equal to equal to not equal to 43 minutes, but you ▼ fail to reject reject the null hypothesis, ▼ Upper H 0…
- Do people walk faster in the airport when they are departing (getting on a plane) or do they walk faster when they are arriving (getting off a plane)? A reputable researcher measured the walking speed of random travelers in two International Airports. His findings are summarized in the table. 1. Determine the P-value for this hypothesis test.This question assumes that you have access to a statistical package that computes standard errors robust to arbitrary serial correlation and heteroskedasticity for panel data methods.(i) For the pooled OLS estimates in Table 14.1, obtain the standard errors that allow for arbitrary serial correlation (in the composite errors, vit = ai + uit) and heteroskedasticity. How do the robust standard errors for educ, married, and union compare with the nonrobust ones?(ii) Now obtain the robust standard errors for the fixed effects estimates that allow arbitrary serial correlation and heteroskedasticity in the idiosyncratic errors, uit. How do these compare with the nonrobust FE standard errors?(iii) For which method, pooled OLS or FE, is adjusting the standard errors for serial correlation more important? Why?Formulate a null and alternative hypothesis with the topic "the water quality of a river"
- It is believed that approximately 12% of the population of the United States is left-handed. Suppose researchers suspect that the proportion of left-handed people is higher in certain states than the national average. The researchers conduct a sample of 200 randomly selected people in the state of Maine and find that 29 people in the sample are left-handed.a. Write the null hypothesis and alternative hypothesis and define your parameter.b. Show that the necessary conditions (Randomization Condition, 10% Condition, Sample Size Condition) are satisfied to perform a hypothesis test. Briefly explain how each condition is satisfied.c. Perform the hypothesis test and find the P-value.d. Is there strong evidence that the left-handed rate in the state of Maine is higher than the national average? Briefly explain how you know.Let X1, ..., Xn be a sample from an Poisson population with parameter λ.(a) Find the maximum likelihood estimator for λ.(b) Is the estimator unbiased?(c) Is the estimator consistent?The point estimate of a 95% CI is always: Closer to the UB values than the LB value. The least plausible value for a population parameter. The most plausible value for a population parameter. Closer to the LB values than the UB value.