Lab report

Load data: (Hint, the source command from the lab)

source("http://www.openintro.org/stat/data/arbuthnot.R")

Exercise 1:

I want to work on this one first! Here is my finding

arbuthnot$girls

#Did a true or false statement to output the number of girls baptized each year.

Exercise 2:

#Yes, the number of girls baptized has overall increased each year. During each year, the data shows the number of girls baptized increasing over time then decreasing a little, and increasing again.

Exercise 3:

plot(x = arbuthnot$year, y = arbuthnot$boys, type = "l")

#This plot shows the proportion of boys baptized each has increased over time. #Did a true or false statement to create the plot of girls vs. boys baptized each year.Used the first argument to define the x variable of years, the second argument to define the y variable of boys, and the third variable to define line, the type of plot used in this graph.

On your own:

1:

source("http://www.openintro.org/stat/data/present.R")

#The years from 1940 to 2002 are included in this dataset. The dimensions of the data frame are 63 rows and 3 columns. The variable names include present in it.

2:

#The counts are greater for boys and girls bapitized each year in the Present’s data than the counts for boys and girls bapitized each year in the Arbuthnot’s data. The scales used are similar.

3:

plot(present$year, present$boys + present$girls, type = "l")
present$boys > present$girls

#Yes, the proportion of boys baptized is greater than the proportion of girls bapitized each year in the U.S.

#Used the plot function to create a graph for the present data. Used the true or false statement to find if the proportion of boys bapitized greater than the proportion of girls bapitized each year. #### 4:

present$total = present$boys + present$girls
present[which.max(present$total), ]$year
## [1] 1961

#Used a variable that equaled the total number of births of boys and girls in the data. Used a statement that would find the year with the most births in the U.S. #1961 was the year with the most births in the U.S.