In: Statistics and Probability
Consider Dataset A for answering the questions that follows below. a. Calculate the measures of central tendencies for Variable X and Variable Y. i. Mean ii. Median iii. Mode iv. Midrange v. What can you say about the skewness of X and Y variables? b. Calculate the measures of variations for Variable X and Variable Y. i. Range ii. Variance iii. Standard Deviation iv. Coefficient of Variation v. Which is more variable, X or Y? Why? c. Calculate the measures of position for Variable X. i. Z-score of the mean value of X ii. Percentile rank of the maximum value of X iii. Check for any outliers in variable X
variable X:6,7,8,8,8,9,9,9,11,11
variableY: -2.77,-0.23,-0.29,-0.05,0.33,0.43,0.51,0.63,0.85,1.12
Variable X:
--------------------------------------------------------------------------
| X | (X - X̄)² | 
| 6 | 6.76 | 
| 7 | 2.56 | 
| 8 | 0.36 | 
| 8 | 0.36 | 
| 8 | 0.36 | 
| 9 | 0.16 | 
| 9 | 0.160 | 
| 9 | 0.160 | 
| 11 | 5.760 | 
| 11 | 5.760 | 
| X | (X - X̄)² | |
| total sum | 86 | 22.40 | 
| n | 10 | 10 | 
mean =    ΣX/n =    86.000  
/   10   =   8.6000
          
           
sample variance =    Σ(X - X̄)²/(n-1)=  
22.4000   /   9   =  
2.489
          
           
sample std dev =   √ [ Σ(X - X̄)²/(n-1)] =  
√   (22.4/9)   =      
1.5776
range=max-min =    11   -  
6   =   5
mid range=(max + min)/2= (   11   +  
6   ) /2 =    8.5
mode= highest frequency data =    8
coefficient of variation,CV=σ/µ=   0.183444
skewness using pearson coefficient of skewness,PC  
   
PC=3(mean-median)/std dev=      
0.190160
IQR = Q3-Q1 =    1.75
  
1.5IQR =    2.625
  
lower bound=Q1-1.5IQR=   5.125
  
upper bound=Q3+1.5IQR=   12.125
  
outlier =values outside lower bound and upper
bound  
total outlier below lower bound=   0
total outlier above upper bound=   0
total outlier =    0
Z score of mean value = 0
Percentile Rank of maximum value = 1
Variable Y
-------------------------------------
| X | (X - X̄)² | |
| total sum | 0.53 | 10.71 | 
| n | 10 | 10 | 
mean =    ΣX/n =    0.530  
/   10   =   0.0530
          
           
sample variance =    Σ(X - X̄)²/(n-1)=  
10.7120   /   9   =  
1.190
          
           
sample std dev =   √ [ Σ(X - X̄)²/(n-1)] =  
√   (10.712/9)   =  
    1.0910
range=max-min =    1.12   -  
-2.77   =   3.89
mid range=(max + min)/2= (   1.12  
+   -2.77   ) /2 =    -0.825
Skewness=   -2.1904      
       
coefficient of variation,CV=σ/µ=   20.584407
lower bound=Q1-1.5IQR=   -1.64
  
upper bound=Q3+1.5IQR=   2.08
  
outlier =values outside lower bound and upper
bound  
total outlier below lower bound=   1
total outlier above upper bound=   0
total outlier =    1
Thanks in advance!
revert back for doubt
Please upvote