41. What is the role of exploratory graphs in data analysis?
42. . . . . . . . . evaluate the cumulative distribution function for a Normal distribution.
43. What will be the output of the following R code?
> set.seed(20)
> x <- rnorm(100)
> e <- rnorm(100, 0, 2)
> y <- 0.5 + 2 * x + e
> summary(y)
> set.seed(20)
> x <- rnorm(100)
> e <- rnorm(100, 0, 2)
> y <- 0.5 + 2 * x + e
> summary(y)
44. . . . . . . . . describe the type of plot you will produce.
45. . . . . . . . . is used for translating between qplot and base graphics.
46. The elapsed time may be . . . . . . . . than the user time if your machine has multiple cores/processors.
47. . . . . . . . . ensures reproducibility of the sequence of random numbers.
48. . . . . . . . . is used to create a plot to illustrate patterns of missing values.
Read More Section(Data Manipulation with dplyr)
Each Section contains maximum 100 MCQs question on Data Manipulation with dplyr. To get more questions visit other sections.