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- Q1. Using 625 trading days of data, you estimated the daily log return follows a normal distribution with a mean of 5 bps and and a stdev of 125 bps. Q1b. what is the 90, 95, and 99% confidence interval for your mean return estimate?If chi-square is NOT statistically significant with a sample size of 100 and sample size is increased to 1,000, the new chi-square: a. will have the same likelihood of being statistically significant than the previous chi-square b. cannot tell until the new chi-square is calculated c. will be less likely to be statistically significant d. will be more likely to be statistically signficant4. A 95% confidence inter val for a population mean µ, based on a sample of size 49, is (12.5, 20.1). (a) The sample mean, , is (i) 3.8. (ii) 16.3. (iii) 7.6. (iv) 32.6. (v) 1.96. (b) The maximum error for this confidence interval, E, is (i) 3.8. (ii) 16.3. (iii) 7.6. (iv) 32.6. (v) 1.96. (c) Compared to the 95% confidence interval, (12.5, 20.1), a 90% confidence interval based on the same sample will be (i) wider. (ii) narrower. (iii) of the same width.
- In order to construct a confidence interval for the population variance, a random sample of n observations is drawn from a normal population. Use this information to find x²a/2, df and x²1-a/2, df under the following scenarios. (Round your answers to 3 decimal places. You may find it useful to reference the appropriate table: chi-square table or Ftable) X²al2,df a. A 95% confidence level with n = 9. b. A 95% confidence level with n = 40. c. A 99% confidence level with n = 9. d. A 99% confidence level with n = 40. X²1-a/2,df(Mathematical Statistics) Let X1,X2,...,X5 be a random sample of the Gamma distribution with parameters a = and ß = 0, e > 0. Determine the 95% confidence interval for the parameter e based on the statistic E(i=1 - 5) Xi. 2Q.No.1. (Marks 08) Explain the following with suitable examples. Mutually exclusive events Sampling Correlation Regression
- Pls solve it quickly..e 14-25. A car hire firm has two cars which it hires out day by day. The number of demands for a car on each day is distributed as a Poisson variate with mean 1-5. Calculate the proportion of days on which (i) Neither car is used (ii) Some demand is refused.Q.1. Records pertaining to the monthly number of job-related injuries at an underground coal mine were being studied by experts from ministry of natural resources. The values for the past 100 months were as follows: Injuries per Month Frequency of Occurrence 35 1 40 2 13 3 4 4 5 1 6. 1 (a) Apply the chi-square test to these data to test the hypothesis that the underlying distribution is Poisson. Use the level of significance a = = 0.05. (b) Apply the chi-square test to these data to test the hypothesis that the distribution is Poisson with mean 1.0. Again let a = 0.05.
- Can you please help me with parts C, E, and F?A sample of n = 7 scores is selected from a population with an unknown mean ( µ). The sample has a mean of M = 40 and a variance of s 2 = 63. Which of the following is the correct 95% confidence interval for µ?Question 1 of 5 (1 point) Attempt 1 of Unlimited Use The t Distribution Table to find the t/2 value for an 80% confidence interval for the mean when the sample size is 14. ta/2=U