EuStockMarkets is a built-in R dataset. The EuStockMarkets data set is a time series giving the Daily Closing Prices of Major European Stock Indices, 1991-1998. We are interested in some descriptive statistics related to German DA index prices. We can access the data directly by using the assignment x <- as.vector(EuStockMarkets[ ,2]) (In R use ? EuStockMarkets for info on this dataset.) Remember: x <- as.vector(EuStockMarkets[ ,2]) a.Calculate the sample median of x. b. Using R, find the 60th quantile of x. c. Calculate the interquartile range of x using R. d. Calculate the sample mean of x. e. Calculate a 10% trimmed mean for x. f. Calculate the sample variance of x. g. Calculate the sample standard deviation of x. h. What proportion of the x values are within 0.5 sample standard deviation from the sample mean i. Calculate the range of x. (one number)
EuStockMarkets is a built-in R dataset. The EuStockMarkets data set is a time series giving the Daily Closing Prices of Major European Stock Indices, 1991-1998. We are interested in some descriptive statistics related to German DA index prices. We can access the data directly by using the assignment x <- as.vector(EuStockMarkets[ ,2]) (In R use ? EuStockMarkets for info on this dataset.) Remember: x <- as.vector(EuStockMarkets[ ,2]) a.Calculate the sample median of x. b. Using R, find the 60th quantile of x. c. Calculate the interquartile range of x using R. d. Calculate the sample mean of x. e. Calculate a 10% trimmed mean for x. f. Calculate the sample variance of x. g. Calculate the sample standard deviation of x. h. What proportion of the x values are within 0.5 sample standard deviation from the sample mean i. Calculate the range of x. (one number)
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.4: Scatter Plots And Line Of Fit
Problem 1GP
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![EuStockMarkets is a built-in R dataset. The EuStockMarkets data set is a time series giving the Daily Closing Prices of Major European Stock Indices, 1991-1998. We are interested in some descriptive statistics related to German DAX
index prices. We can access the data directly by using the assignment x <- as.vector(EuStockMarkets[ ,2]) (In R use ? EuStockMarkets for info on this dataset.) Remember: x <- as.vector(EuStockMarkets[ ,2])
a.Calculate the sample median of x.
b. Using R, find the 60th quantile of x.
c. Calculate the interquartile range of x using R.
d. Calculate the sample mean of x.
e. Calculate a 10% trimmed mean for x.
f. Calculate the sample variance of x.
g. Calculate the sample standard deviation of x.
h. What proportion of the x values are within 0.5 sample standard deviation from the sample mean
i. Calculate the range of x. (one number)
j. What number do you get if you add up the reciprocals of the values in x?](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fc45072c9-820f-4d06-bb43-63ea77dc776c%2Fd681e244-f122-43e8-af15-117cfbc082d8%2F35f2x9s_processed.png&w=3840&q=75)
Transcribed Image Text:EuStockMarkets is a built-in R dataset. The EuStockMarkets data set is a time series giving the Daily Closing Prices of Major European Stock Indices, 1991-1998. We are interested in some descriptive statistics related to German DAX
index prices. We can access the data directly by using the assignment x <- as.vector(EuStockMarkets[ ,2]) (In R use ? EuStockMarkets for info on this dataset.) Remember: x <- as.vector(EuStockMarkets[ ,2])
a.Calculate the sample median of x.
b. Using R, find the 60th quantile of x.
c. Calculate the interquartile range of x using R.
d. Calculate the sample mean of x.
e. Calculate a 10% trimmed mean for x.
f. Calculate the sample variance of x.
g. Calculate the sample standard deviation of x.
h. What proportion of the x values are within 0.5 sample standard deviation from the sample mean
i. Calculate the range of x. (one number)
j. What number do you get if you add up the reciprocals of the values in x?
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