Problem : The following system has a radar, a computer and an auxiliary unitconnected in series as shown with mean time between failures (MTBF’s) of 91,202and 500 hours respectively.MTBF=91 HRSMTBF=202 HRSMTBF=500 HRSINPUTRADARCOMPUTERAUXILIARYOUTPUTSYSTEMDetermine the following.The unit reliability of each component.System reliability* System MTBF for an operating period of 10 hours

Answered: Image /qna-images/answer/f39ed0cb-83bc-4bf0-aeed-d9b0c86737d3.jpg

Answered: Probl connected in series as shown with…

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 an oceanographer monitors the daily salinity of a particular ocean in relation to the temperature of the water. The oceanographer plots the data with temperature, in degrees Celsius (°C), along the horizontal axis and salinity, in parts per thousand (ppt), along the vertical axis. Select the true statement about the data point identified by the arrow. An ocean temperature of 21 °C causes the salinity to be 29 ppt. The predicted salinity is 29 ppt when the ocean temperature for the day is 21 °C. An ocean temperature of 29 °C corresponds to a salinity level of 21 ppt. The observed salinity is 29 ppt when the ocean temperature for the day is 21 °C. There is no relationship between the temperature of the ocean on a given day and salinity.
Based on the scatterplot and residual plot, what type of model would be appropriate for summarizing the relationship between days and number of views? A popular television show recently released a video preview for the upcoming season on its website. As fans of the show discover the video, the number of views of the preview video has grown each day during the last 2 weeks. The number of days since the release of the video and the natural log of the number of video views is shown in the scatterplot. O An exponential model is appropriate because the residual plot does not show a clear pattern. O A linear model is appropriate because the scatterplot shows a strong, positive linear relationship. In(Views) vs. Days O A power model is appropriate because the scatterplot of days and natural log of views is strong and linear. 10 9.5 An exponential model is appropriate because the relationship between days and the natural log of views is linear, and the residual plot does not show a clear…
A group of migraine headache sufferers were tracked over their lifetimes with data taken every 10 years. The scatter plot shows the number of headaches per year versus age, in years. How would you estimate the number of headaches at age 100? Question 2 options: Draw a line of best fit and interpolate. Wait until a sufficient number of subjects have reached the age of 100. Draw a line of best fit and extrapolate. Use the number from age 80 and divide by 2.
You are a big soccer fan and you decide to gather information on the goal differential (goals scored - goals allowed) for your favorite team in the Premier League during the last season. You find that the average goal differential for home games (games that take place on the team's own stadium) was 1.37 and the average goal differential for away games (games that take place on the opponent team's stadium) was 0.32. With the data you have, if you regress goal differential (call it variable G) on a dummy variable (call it variable D) that takes the value 1 if the game is a home game and takes the value zero if the game is an away game, and obtain Ĝi = Bo + B₁ D₁, then, Bo will be equal to equal to and ₁ will be
It takes a while for new factory workers to master a complex assembly proces. During thre first month new employees wor, the company tracks the number of days the have been on the job and the length of time it rtakes them to complete assembly. The correlation is most likely to be what?
A scientist is calibrating a laboratory apparatus that will be used to measure the concentration of ozone in air samples. To check the calibration, samples of known concentration are measured. The true concentrations in ppm (x) and the measured concentrations in ppm (y) data points are: (0, 1), (10, 11), (20, 21), (30, 28), (40, 37), (50, 48), (60, 56), (70, 68), (80, 75), (90, 86), (100, 96). Because of random error, repeated measurements on the same sample will vary. The apparatus is considered to be in calibration if its mean response is equal to the true concentration. To check the calibration, the linear model y = ß0 + ß1 + ε is fit. Ideally, the value of ß0 should be 0 and the value of ß1 should be 1. The least-squares estimate of the error standard deviation σ is closest to:
Mean for nunber 5 is 100
Reliability testing of the new 2.0 liter Chevy automotive engine has resulted in a time to failure distribution which is lognormal with = 90,000 mi. and s = 0.60. Find: med %3D a. R(40,000 mi.) b. MTTF and Std. Dev. c. R(90,000|40,000) d. t .90
10) The top point in the scatter plot (6.5, 1459) is for Washington, DC. Find the predicted DC violent crime rate if x=6.5. Then find the residual for DC using the predicted violence crime rate and the actual violent crime rate (the actual crime rate is provided in the first sentence of this question). Prediction = Actual y-value = Residual =
Observatiom Random numbers. 33 13. 18 2. .3. 4. 43 14 38 14 6. 15 32 41 15 10 12 22 13 32 14 36 15 43 17 36 16 18 22 19 20 32. 21 28 31 34.1 14 22 23 -24 30 -25 26. 12 27 35.9 28 24 29 30 31 32 a5 33 20 34 38-25 35 30 42 26 42 36 31 38 39 29 40. 33 41 130 42 31 43. 44 24 45 22 46. 25 47 48 21 21-75 49 23 so 27
Hello! Please analyse the table 3 and 4 in the image attached. the data is supposed to see if there is a relationship between the prevalence of obesity(table3) or life expectancy (table4) between males and females. thank you!
Pls help to solve this homwork

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