The built-in LakeHuron data set is a time series giving the annual measurements of the level, in feet, of Lake Huron 18751972. We can easily access this data with the assignment x<-as.vector(LakeHuron). Assume these values are a random sample from a normal population with unknown mean a and unknown standard deviation e. Call the vector of observations x,using the assignment x<-as.vector(LakeHuron) a) Calculate the sum of the first 15 elements of x.? b) Calculate the minimum value of x. c) Calculate the sample mean of x. d) Calculate the sample variance of x e) Calculate the sample standard deviation s of x. f) Calculate the sample median of x using R 9) Calculate the interquartile range of x, using R. h) Calculate the sample variance of 3x. i) Calculate an unbiased estimate of the population variance, o using this data. j) If we assume that the population has a normal distribution, then calculate the maximum likelihood estimate of using this data. k) Using this data, create an 96% confidence interval for H, noting that the sample size is large enough so we can use a normal distribution critical value zstar.( I) Using this data, create a 96% prediction interval for H, noting that the sample size is large enough so we can use a normal distribution critical value zstar. ( X - 578.8 m) Using this data, create a 4% level test of Ho: u=578.8 versus the alternative Ha: > 578.8. We will reject Ho ifz = > zstar where s is the sample standard deviation. What is the value of zstar? (Calculate from normal distribution) n) Continuing from part m, what is the value of z? o) Continuing from parts m and n, what is the p value of the test.
The built-in LakeHuron data set is a time series giving the annual measurements of the level, in feet, of Lake Huron 18751972. We can easily access this data with the assignment x<-as.vector(LakeHuron). Assume these values are a random sample from a normal population with unknown mean a and unknown standard deviation e. Call the vector of observations x,using the assignment x<-as.vector(LakeHuron) a) Calculate the sum of the first 15 elements of x.? b) Calculate the minimum value of x. c) Calculate the sample mean of x. d) Calculate the sample variance of x e) Calculate the sample standard deviation s of x. f) Calculate the sample median of x using R 9) Calculate the interquartile range of x, using R. h) Calculate the sample variance of 3x. i) Calculate an unbiased estimate of the population variance, o using this data. j) If we assume that the population has a normal distribution, then calculate the maximum likelihood estimate of using this data. k) Using this data, create an 96% confidence interval for H, noting that the sample size is large enough so we can use a normal distribution critical value zstar.( I) Using this data, create a 96% prediction interval for H, noting that the sample size is large enough so we can use a normal distribution critical value zstar. ( X - 578.8 m) Using this data, create a 4% level test of Ho: u=578.8 versus the alternative Ha: > 578.8. We will reject Ho ifz = > zstar where s is the sample standard deviation. What is the value of zstar? (Calculate from normal distribution) n) Continuing from part m, what is the value of z? o) Continuing from parts m and n, what is the p value of the test.
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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