Data <- read.csv("D:/1.csv")

head(Data)

##     Name Statistic Math Japanese Management Accounting
## 1 張青松        68   85       84         89         86
## 2 王奕翔        85   91       63         76         66
## 3 田新雨        74   74       61         80         69
## 4 徐麗娜        88  100       49         71         66
## 5 張志傑        63   82       89         78         80
## 6 趙穎睿        78   84       51         60         60

print(Data)

##      Name Statistic Math Japanese Management Accounting
## 1  張青松        68   85       84         89         86
## 2  王奕翔        85   91       63         76         66
## 3  田新雨        74   74       61         80         69
## 4  徐麗娜        88  100       49         71         66
## 5  張志傑        63   82       89         78         80
## 6  趙穎睿        78   84       51         60         60
## 7  王智強        90   78       59         72         66
## 8  宋媛婷        80  100       53         73         70
## 9  袁四方        58   51       79         91         85
## 10 張建國        63   70       91         85         82

summary(Data)

##      Name             Statistic          Math          Japanese    
##  Length:10          Min.   :58.00   Min.   : 51.0   Min.   :49.00  
##  Class :character   1st Qu.:64.25   1st Qu.: 75.0   1st Qu.:54.50  
##  Mode  :character   Median :76.00   Median : 83.0   Median :62.00  
##                     Mean   :74.70   Mean   : 81.5   Mean   :67.90  
##                     3rd Qu.:83.75   3rd Qu.: 89.5   3rd Qu.:82.75  
##                     Max.   :90.00   Max.   :100.0   Max.   :91.00  
##    Management      Accounting  
##  Min.   :60.00   Min.   :60.0  
##  1st Qu.:72.25   1st Qu.:66.0  
##  Median :77.00   Median :69.5  
##  Mean   :77.50   Mean   :73.0  
##  3rd Qu.:83.75   3rd Qu.:81.5  
##  Max.   :91.00   Max.   :86.0

stem(Data$Japanese)

## 
##   The decimal point is 1 digit(s) to the right of the |
## 
##   4 | 9
##   5 | 139
##   6 | 13
##   7 | 9
##   8 | 49
##   9 | 1

mean(Data$Japanese)    #平均數

## [1] 67.9

median(Data$Japanese)  #中位數

## [1] 62

as.numeric(names(table(Data$Japanese)))[which.max(table(Data$Japanese))]  #眾數

## [1] 49

sd(Data$Japanese)   #standard deviation

## [1] 16.25115

var(Data$Japanese) #variance

## [1] 264.1

Q1 <- quantile(Data$Japanese, 1 / 4) 

Q3 <- quantile(Data$Japanese, 3 / 4)