Find the data that yields the given log-likelihood ?(?;data) Inspection trials are carried out in a factory to assess the quality of products. In each trial r; products are tested and Y;, thenumber of satisfactory items in the trial, is assumed to follow the binomial model Y₁ Bin(ri, p), where p is theproportion of satisfactory items in the production process.Using inspection data (r1, y₁), (r2, Y2), …., (˜n, Yn) and assuming independent trials, the following log-likelihood for pwas obtainedl(p; data) = 19.5678 +40 · log(p) + 10 · log(1 − p).

The log-likelihood of binomial distribution is given as:l(p) = log(rCY) + Yilog(p) + (ri-Yi)…

Answered: Find the data that yields the given…

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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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…
please help i am very stuck thankyou
Terri Vogel, an amateur motorcycle racer, averages 129.14 seconds per 2.5 mile lap (in a 7 lap race) with a standard deviation of 2.28 seconds . The distribution of her race times is normally distributed. We are interested in one of her randomly selected laps. (Source: log book of Terri Vogel) Let X be the number of seconds for a randomly selected lap. Round all answers to 4 decimal places where possible.b. Find the proportion of her laps that are completed between 131.08 and 134.03 seconds. ___________________c. The fastest 2% of laps are under seconds.____________________d. The middle 70% of her laps are from ____ seconds to ____ seconds.
Find the probability of each of the following, if Z~N(μ = 0,σ = 1). (please round any numerical answers to 4 decimal places) a) P(Z < -1.88) = __________________b) P(Z > 1.03) = __________________c) P(-0.42 < Z < 1.2) = __________________d) P(| Z | >1.35) = __________________
Terri Vogel, an amateur motorcycle racer, averages 129.69 seconds per 2.5 mile lap (in a 7 lap race) with a standard deviation of 2.25 seconds . The distribution of her race times is normally distributed. We are interested in one of her randomly selected laps. (Source: log book of Terri Vogel) Let X be the number of seconds for a randomly selected lap. Round all answers to 4 decimal places where possible.a. What is the distribution of X? X ~ N(,)b. Find the proportion of her laps that are completed between 127.93 and 130.17 seconds. c. The fastest 4% of laps are under seconds.d. The middle 60% of her laps are from seconds to seconds.
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Terri Vogel, an amateur motorcycle racer, averages 129.23 seconds per 2.5 mile lap (in a 7 lap race) with a standard deviation of 2.28 seconds. The distribution of her race times is normally distributed. We are interested in one of her randomly selected laps. (Source: log book of Terri Vogel) Let X be the number of seconds for a randomly selected lap. Round all answers to 4 decimal places where possible. a. What is the distribution of X? X NO b. Find the proportion of her laps that are completed between 127.32 and 128.45 seconds. c. The fastest 4% of laps are under d. The middle 50% of her laps are from seconds. seconds to seconds.
Data can be approximated quite well by a N(3.4, 3.1) model. Economists become alarmed when productivity decreases. According to the normal model what is the probability that the percent change in worker output per hour from the previous quarter is more than 1.6 standard deviations below the mean? What is the probability that the percent change in worker output from the previous quarter is between -1.56 and 4.33?
How do you parts c and d?
Terri Vogel, an amateur motorcycle racer, averages 129 seconds per 2.5 mile lap (in a 7 lap race) with a standard deviation of 2.26 seconds . The distribution of her race times is normally distributed. We are interested in one of her randomly selected laps. (Source: log book of Terri Vogel) Let X be the number of seconds for a randomly selected lap. Round all answers to 4 decimal places where possible. question: The middle 50% of her laps are from _____ seconds to _______ seconds.
Terri Vogel, an amateur motorcycle racer, averages 129.45 seconds per 2.5 mile lap (in a 7 lap race) with a standard deviation of 2.29 seconds . The distribution of her race times is normally distributed. We are interested in one of her randomly selected laps. (Source: log book of Terri Vogel) Let X be the number of seconds for a randomly selected lap. Round all answers to 4 decimal places where possible.a. What is the distribution of X? X ~ N()b. Find the proportion of her laps that are completed between 130.57 and 132.63 seconds. c. The fastest 3% of laps are under seconds.d. The middle 50% of her laps are from seconds to seconds.
Can you conclude that listening to music will decease the frequency of sleep attacks in narcoleptics at p=0.05?

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