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- Determine the maximum-likelihood estimator of theta.a) Portfolio ABZ has a daily expected return of 0.0634% and a daily standard deviation of 1.1213%. Calculate the daily 1 percent parametric VaR for a $ 120 million portfolio. (Give the answer in Dollars)Find kurtosis by using ungroup data given in the picture using quartile deviation, make sure to arrange data before solving question.
- A small university town has four local food restaurants that make deliveries. A group of marketing students were assigned to do a research project for their class assignment to compare how promptly the four restaurants deliver. On randomly chosen days, they order a chicken rice set from each restaurant, then record the elapsed time until the chicken rice set delivered to their college. Assume that their college is approximately the same distance from the four restaurants. The data are analysed using SPSS and the results are illustrated in Table 2a and 2b. question: Complete the ANOVA table (Table 2b) and calculate theF-ratio.A small university town has four local food restaurants that make deliveries. A group of marketing students were assigned to do a research project for their class assignment to compare how promptly the four restaurants deliver. On randomly chosen days, they order a chicken rice set from each restaurant, then record the elapsed time until the chicken rice set delivered to their college. Assume that their college is approximately the same distance from the four restaurants. The data are analysed using SPSS and the results are illustrated in Table 2a and 2b. question: At the 5% significance level, what can you conclude from the Levene's test result in Table 2a?A car dealer wishes to learn whether they can predict customers preferred car make typebased on suburb so that they could distribute their mail advertising more effectively. Thetable below shows the number of people in a random sample of 245 and their current cars.
- A product is designed to have length of 29cm+/0.0.238cm. the output of the manufacturing process is identified to be centered at 29.0.0016cm and the standard deviation is estimated at 0.07cm. determine the capability of the system CpkA. Clearly state an appropriate null hypothesis and an alternative hypothesis. B. What proportion of deaths occurred while the windows were set at a vertical orientation?A paper manufacturer has a production process that operates continuously throughout an entire production shift. The paper is expected to have a mean length of 8 inches, and the standard deviation of the length is 0.03 inch. At periodic intervals, a sample is selected to determine whether the mean paper length is still equal to 8 inches or whether something has gone wrong in the production process to change the length of the paper produced. A random sample of 100 sheets is selected, and the mean paper length is 8.001 inches. A 99% confidence interval estimate for the population mean paper length is 7.99326≤μ≤8.00874. Is it true that you do not know for sure whether the population mean is between 7.99326 and 8.00874 inches? Explain. Question content area bottom Part 1 Choose the correct answer below. A. It is false because the sample mean falls outside the interval. B. It is true because the population mean will be in the interval only 1% of the time.…
- Solve its from frequency distributionA paper manufacturer has a production process that operates continuously throughout an entire production shift. The paper is expected to have a mean length of 8 inches, and the standard deviation of the length is 0.04 inch. At periodic intervals, a sample is selected to determine whether the mean paper length is still equal to 8 inches or whether something has gone wrong in the production process to change the length of the paper produced. A random sample of 100 sheets is selected, and the mean paper length is 8.003 inches. A 95% confidence interval estimate for the population mean paper length is 7.99516less than or equalsmuless than or equals8.01084. Is it true that you do not know for sure whether the population mean is between 7.99516 and 8.01084 inches?A park ranger is searching for bears in a region of the park where on average there are 5 bears per square mile. The bears are solitary independent creatures, so it is reasonable to assume that the numbers of bears in disjoint regions are independent unknowns and that the number expected in any region is proportional to the area of the region. The ranger can also assume that in a very tiny region, say a square inch, it is impossible to find more than one bear. What is the standard deviation in area (in square miles) he has to search in order to find 16 bears?