You are given:(i)Losses follow an exponential distribution with mean 0.(ii)A random sample of losses is distributed as follows:Loss RangeNumber of Losses(0 – 100]32(100 – 200]21(200 – 400]27(400 – 750]16(750 – 1000]2(1000 – 1500]Total100Estimate 0 by matching at the 80“ percentile.(A)249(В)253(C)257(D)260(Е)263

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Answered: You are given: (i) Losses follow an…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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1 b) For any data set, approximately 95% of the observations fall in the interval (T − 2s, T+2s). True False
Time left 1: In process industry during a daily production run, a total of five (05) samples are collected with four (04) observations within each sample. The sample means (X-bar) are; 14.09, 13.94,16.86, 20.00, and 16.64 respectively. The corresponding ranges are; 9.90, 7.73,4.41,7.56, and 3.49 respectively. The lower and upper control limits of the x-bar chart are respectively O a. 11.47, 21.14 O b. None is correct О с. 11.47, 16.55 O d. 11.44, 20.66 Ое. 11.29, 20.65
true or false: If a 90% CI for the difference between two means is calculated to be [ 6.2, 9.6] then in words this is interpreted as the 90% of the time the true population difference in means will be between 6.2 and 9.6
[3] Situation: In a known hardware store in Pampanga, the manager is interested to know how much on average, their customers spend each visit in the store. Using their records, a 1000 visits were drawn and the customer’s average spending were calculated. From the computation, the mean amount spent of the customers per visit in the store was computed at P3,034.35. This is an example of a: a. Population b. Sample c. Parameter d. Statistic e. Variable
can you find two tailed test p value for given data sample size 14 test statistics -2.23
b. The following are the time (in months) to relapse for patients who had acute leukemia when being treated with a particular drug: 10, 7,32', 23, 22, 6, 16, 34", 32", 25", 11", 20", 19", 6, 17", 35", 6, 13, 9", 6", 10" Obtain the Kaplan-Meier estimate of the survivor function.
From the data in the table it shows the 2019 daily return data for the S&P 500 Index (stocks) and the US 30 year Bond (bonds). How do I test the hypothesis that mean daily return on stocks exceeds the mean daily return on bonds? Please show the steps. S&P500 dailt returns data: Date Price Daily Return 2019-12-31 3230.78 0.294602% 2019-12-30 3221.29 -0.578082% 2019-12-27 3240.02 0.003398% 2019-12-26 3239.91 0.512817% 2019-12-24 3223.38 -0.019545% 2019-12-23 3224.01 0.086614% 2019-12-20 3221.22 0.494478% 2019-12-19 3205.37 0.445929% 2019-12-18 3191.14 -0.043230% 2019-12-17 3192.52 0.033529% US 30 Year Bond Date Price Daily Return 31-Dec-19 2.389 2.32% 30-Dec-19 2.335 0.78% 29-Dec-19 2.317 -0.03% 27-Dec-19 2.318 -0.16% 26-Dec-19 2.321 -0.71% 25-Dec-19 2.338 0.15% 24-Dec-19 2.334 -0.83% 23-Dec-19 2.354 0.31% 22-Dec-19 2.346 0.12% 20-Dec-19 2.344 -0.43%
A population of N=15 has a mean =8 one score in the population is changed from X=20 to X-5.What is the value for thr new population mean?
b) r=
3. Suppose that X has an exponential distribution with a mean of 10. Determine the following: (a) P(X 15) (c) Compare the results in parts (a) and (b) and comment on the role of memoryless property.

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