Based on the transition matrix and associated diagram below:This yearNext Year AA B C0.2 050B 0.70 0CDD100000 0.1 0.5 0.030 0 0.4 0.9A0.70.2YesNoThere is not enough information to sayB0.150с0.40.030.51000D0.9If you have 100 of each stage this year, is the population at stable stage distribution?

Given:The transition matrix and associated diagram indicate the probabilities of moving from one…

Answered: Based on the transition matrix and…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Suppose that we are looking at the behaviour of two stocks listed on the New York Stock Exchange Stock and Stock B to observe whether over a given interval, the prices of the stocks increased, decreased, or stayed the same. The information is given in the following table. Stock A Stock B No Increase Decrease Change A1 A2 АЗ Increase B1 0.11 0.01 0.03 No B2 0.21 0.15 0.04 Change Decrease B3 0.18 0.12 0.15 Find the probability that the price of stock A will not decrease, given that the price of stock B increases. Answer:
The transition probabilities for States 1, 2 and 3 are recorded below. 1 2 3 1 0.6 0.25 0.15 2 0.1 0.7 0.2 3 0.05 0.15 0.8 Find the equilibrium point for 3 Question 15 Answer A. 0.37 B. 0.15 C. 0.48 D. 0.27
Groups: 1 = 5-25 years, 2 = 26-59 years, 3 = 60-92 years What does LSD testing reveal about Group 2? Group of answer choices: 1. Group 2 has significantly lower FIQ than Group 1 2. Group 2 has significantly lower FIQ than Groups 1 or 3 3. Group 2 has significantly lower FIQ than Group 3 4. Group 2 does not differ in FIQ from Groups 1 or 3 5. Group 2 does not differ in FIQ from Group 1 6. a and c 7. b and d 8. c and e
You collect data of average annual returns for Amazon Stock and Microsoft Stock and make the following table: (This data can be copied into Excel.) Year Amazon Return Microsoft Return 2013 0.5896 0.1221 2014 -0.2218 0.2416 2015 1.1778 0.1944 2016 0.1095 0.1200 2017 0.5596 0.3766 2018 0.2843 0.1874 2019 0.3216 0.5526 You use this data to answer the research question: are true population Amazon Returns greater than true population Microsoft Returns?
Dp1
Q. 3 We are given the following data for a city: Population of the city on March 30, 2020 = 183,000 Number of new active cases of TB occurring between January 1 and June 30, 2020 26 Number of active TB cases according to the city register on January 1, 2020 = 264 Find the (i) Cumulative incidence of active cases of TB for the 6-month period3; (ii) Prevalence of active TB as of June 30, 2020.
The Fish and Game Department stocked a lake with fish in the following proportions: 30% catfish, 15% bass, 40% bluegill, and 15% pike. Five years later it sampled the lake to see if the distribution of fish had changed. It found that the 500 fish in the sample were distributed as follows. Catfish 121 Bass 80 Bluegill 227 Pike 72 In the 5-year interval, did the distribution of fish change at the 0.05 level?
An experimenter wants to study the relationship between type of milk and infant growth in underdeveloped countries. She randomly assigns 300 infants to either a breast-feeding group or an infant formula group. She then weighs the infants every three days for the first four weeks of life.
11-7. The number of pounds of steam used per month by a chemical plant is thought to be related to the average ambient temperature (in °F) for that month. The past year's usage and temperatures are in the following table: Usage/ 1000 Usage/ 1000 Month Temp. Month Temp. Jan. 21 185.79 July. 68 621.55 Feb. 24 214.47 Aug. 74 675.06 Mar. 32 288.03 Sept. 62 562.03 Apr. 47 424.84 Oct. 50 452.93 Мay 50 454.58 Nov. 41 369.95 June 59 539.03 Dec. 30 273.98 (a) Assuming that a simple linear regression model is appro- priate, fit the regression model relating steam usage (y) to the average temperature (x). What is the estimate of o²?
The electric power consumed each month by a chemical plant is thought to be related to the average ambient temperature x1, the number of days in the month x2, the average product purity X3, and the tons of product produced X4. The past year's historical data are available and are presented in the following table. ... 240 236 290 274 24 25 31 45 91 90 88 87 91 94 100 95 21 110 88 94 99 24 60 65 72 25 25 26 301 316 300 296 267 276 25 25 24 25 25 23 87 86 88 91 90 89 97 96 110 105 80 84 75 60 288 261 50 38 100 98 (a) Fit a multiple linear regression model using the above data set (b) Predict power consumption for a month in which x1 = 75°F, X2 = 24 days, X3 = 90%, and X4 = 98 tons.
Question 8 X A B 3.56 -1.00 -2.89 -1.44 A -1.00 3.38 2.13 -0.07 В -2.89 C -1.44 -0.07 2.13 3.51 0.47 0.47 3.16 Consider the covariance matrix above. How much of the expected average linear relationship between A and B was actually observed? Express your answer as a percentage, rounding it off to the nearest whole number. If you are doing manual computations, use at least 6 decimal digits within your computations. I recommend that you use R, Ms Excel or other software to maximize the likelihood of your final answer to the theoretical estimate.
The electric power consumed each month by a chemical plant is thought to be related to the average ambient temperature x1, the number of days in the month x2, the average product purity x3, and the tons of product produced x4. The past year's historical data are available and are presented in the following table. 240 25 24 91 100 236 31 21 90 95 290 45 24 88 110 274 60 25 87 88 25 26 25 301 65 91 94 316 72 94 99 300 80 87 97 84 75 296 25 86 96 267 24 88 110 276 60 25 91 105 288 50 38 25 23 90 100 261 89 98 If y= ao+a1X1 +a2x2+Q3X3+Q4X4 represents the regression model. What is the value of a2? Use 2 decimal places.

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