CPU Speed Measurements 40 37 38 35 31 30 26 25 20 18 15 CPU 1 li 15 I CPU 2 10 10 8. 10 2.0 - 2.4 2.5 - 2.9 3.0 - 3.4 3.5 - 3.9 4.0 - 4.5 Speed (GH2) A. Using this data, calculate the expected speed of each processor, and determine which of the two is faster. (Hint: when given a range of speeds, you can consider the average value within that range to be the speed at which the observations occurred). B. You studied a third CPU and found that its speed is a continuous random variable that follows a normal distribution, with a mean value of 3.6 GHz and a standard deviation of 0.8 GHz. Find the probability that the third CPU would run faster than the expected speed of CPU1. C. A company is developing a new CPU, and they sent you a unit so you can test it. This CPU is still in development; therefore, it is not stable and can cause some errors when running. If the probability that this CPU causes an error when doing on operation is 1%, find the probability that the CPU would run a full program, which contains 80 operations without producing any errors. one Number of Observations

CPU Speed Measurements 40 37 38 35 31 30 26 25 20 18 15 CPU 1 li 15 I CPU 2 10 10 8. 10 2.0 - 2.4 2.5 - 2.9 3.0 - 3.4 3.5 - 3.9 4.0 - 4.5 Speed (GH2) A. Using this data, calculate the expected speed of each processor, and determine which of the two is faster. (Hint: when given a range of speeds, you can consider the average value within that range to be the speed at which the observations occurred). B. You studied a third CPU and found that its speed is a continuous random variable that follows a normal distribution, with a mean value of 3.6 GHz and a standard deviation of 0.8 GHz. Find the probability that the third CPU would run faster than the expected speed of CPU1. C. A company is developing a new CPU, and they sent you a unit so you can test it. This CPU is still in development; therefore, it is not stable and can cause some errors when running. If the probability that this CPU causes an error when doing on operation is 1%, find the probability that the CPU would run a full program, which contains 80 operations without producing any errors. one Number of Observations

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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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Example 7.33. Find the cubic spline interpolation for the data : 1 2 3 4 5 f(x): 1 0 1 0 1 (Anna, B.E., 2007)
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Part 3
Part D. Data from the Statistical Abstract of the United States provides a panel data collected at the state level in 1987 and 1990. These data are used to estimate MODEL 1: The variables used in the analysis are: infmort is number of deaths within the year per 1,000 live births Ipcinc is natural log of per capita income Ipopul is natural log of the population (the population is in thousands) Iphysic is natural log of physicians per 100,000 inhabitants d90 is year dummy for 1990. For questions 1 to 4 you can assume that MLR 1-4 are satisfied. A 1. Use the Stata output below to interpret ß3. Test at a 5% significance level whether the number of physicians per capita has any effect on infant mortality rate. reg infmort 1pcinc 1popul 1physic d90 Source Model Residual Total infmort infmort = Po + B₁lpcinc + B₂lpopul + ß3lphysic + 8₁ d90 + u SS 78.0499129 350.452136 428.502049 df . 19.5124782 4 97 3.61290862 Coef. Std. Err. MS 101 4.24259454 1pcinc -4.693354 1.638132 1popul - .0551426…
he following data represents the annual sales of a Digitech Automation products SAOG. Year 2014 2015 2016 2017 2018 Sales (in Millions) OMR 380 440 520 396 514 Use method of least squares to calculate the trend values and the forecast for the future period. Which of the following is the annual sales forecast for the year 2020 using least squares method? a. 584.4 Million OMR b. 539.6 Million OMR c. 606.8 Million OMR d. 562 Million OMR
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15. Fit a straight line trend by the method of least squares. Year: 1987 1988 1989 1990 1991 1992 1993 1994 1995 Death: 175 190 185 195 180 200 185 190 205 Estimate the number of death for year 2002. CS Scanned with CamScanner
Q2: Correct answer please in details: Due to population growth in the area, the new Liberty High School has just opened in a local school district. The athletic director at Liberty High is planning the launch of the school's track and field team. The first team practice is scheduled for April 1. The activities, their immediate predecessors, and the activity time estimates (in weeks) are listed in the following table. Time (Weeks) Activity Description ImmediatePredecessor Optimistic Most Probable Pessimistic A Meet with board 1 1 2 B Hire coaches A 4 6 8 C Conduct fundraiser A 2 4 6 D Announce program B, C 1 2 3 E Meet with coaches B 2 3 4 F Order team equipment A 1 2 3 G Register athletes D 1 2 3 H Reserve buses for meets G 1 2 3 I Plan first practice E, H, F 1 1 1 What is the expected project completion time (in weeks)? (Round your answer to two decimal places.) If the athletic director plans to start the project on January 1, calculate the…
High Cholesterol: A group of eight individuals with high cholesterol levels were given a new drug that was designed to lower cholesterol levels. Cholesterol levels, in milligrams per deciliter, were measured before and after treatment for each individual, with the following results: Individual Before After 1 296 218 2 289 214 3 280 180 4 295 205 5 281 168 6 281 201 7 283 170 8 285 182 Send data to Excel Part: 0 / 2 0 of 2 Parts Complete Part 1 of 2 (a) Use a calculator to construct a 90% confidence interval for the mean reduction in cholesterol level. Round your answers to at least one decimal place. The confidence interval for the mean reduction in cholesterol level is , .
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he following data represents the annual sales of a Digitech Automation products SAOG. Year 2014 2015 2016 2017 2018 Sales (in Millions) OMR 380 440 520 396 514 Use method of least squares to calculate the trend values and the forecast for the future period. The value of 'a' in the linear equation Y = a + bx is: a. 540 b. 450 c. 504 d. 405
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