What is the output of `mean(c(10, 20, 30))`?

What does the `#` symbol signify in R?

What effect does adding a constant value to each observation in a dataset have on the mean?

Cheat sheet for using R X=c(1,2,3,4,2,5) # assigns the set of data to the variable X sum(X) #calculates the sum of all data contained in X mean(X)# calculates the average of data contained in X table(X) #counts the number of time a value occurs in X cumsum(X) # calculates the cumulative sum and can be used to calculate cumulative freq X=sum(X)/length(X) # is an expression that calculates the mean Y= X-1 # subtracts 1 from each data point in X Z=seq(1,1000,by=2) # generates a sequence of numbers from 1 to 1000 by 2 (1, 3, 5…) When calculating variance and standard deviation I need to see the long form of the calculation in R Given the following values of X, calculate the sample variance, sample standard deviation and z-score for the data set. Solve the problem without using the R function SD and show all the steps using R.  I only need the R code. There is not need to do the arithmetic.  Write the mathematical formula for standard deviation and z-score calculation.   #calculate the sample variance, sample standard deviation and z-scorex

The speed of a file transfer from a server on campus to a personal computer at a student’s home on a weekday evening is normally distributed with a mean of 63 kilobits per second and a standard deviation of four kilobits per second.   What is the probability that the file will transfer at a speed of 70 kilobits per second or more?

Which of the following best describes the range of a data set?

When referring to “objects” in a dataset, what is meant by the term?

In statistical analysis, what is meant by “data”?

The arithmetic mean is fundamentally equivalent to what common concept?

Which graphical representation is specifically suited for illustrating frequency distributions of qualitative variables?