- Perusalll Students Average Score On Perusall Up To The Test Date 5 Reading In The Dataset Testdata Read Exc 1 (62.83 KiB) Viewed 52 times
- Perusalll Students Average Score On Perusall Up To The Test Date 5 Reading In The Dataset Testdata Read Exc 2 (37.82 KiB) Viewed 52 times
- Perusalll Students Average Score On Perusall Up To The Test Date 5 Reading In The Dataset Testdata Read Exc 3 (14.65 KiB) Viewed 52 times
perusalll- students' average score on Perusall up to the test date ## 5 ... #reading in the dataset testdata <- read_excel("/cloud/project/test1_corrected.xlsx") #Here's the structure of the dataset str(testdata) ## tibble (71 * 2] (53: tb1_df/tb1/data.frame) $ testi :num [1:71) 6.825 0.975 0.75 0.325 8.725 0.925 0.65 1 0.9 0.52 ## $ perusall: num (1:71] 92.4 98.2 100 27.8 100 .. #Here are some summary statistics on the variables summary(testdata) ## testi perusali ## Min. :0.3250 Min. ®.00 ## 1st Qu. :0.6250 1st Qu.: 64.59 ## Median :0.7250 Median : 91.09 ## Mean :0.7222 Mean : 78.55 ## 3rd Qu. :0.8500 3rd Qu.: 99.14 ## Max. :1.000e Max. : 100.ee Here is the standard deviation: sd(testdatastesti) ## [1] 0.1526872 sd(testdata$perusall) ## [1] 27.84833 :
20 - count 10- 第一 75 100 50 perusall
2. Now look at the data for the variable perusall. What do you notice about the distribution, spread, and measures of central tendency for this variable? What does this information tell you about students' reading habits and test scores in the class? (4 points)