Data Analysis of Class XII Students at Alex Martin School Melbourne
- Country :
Australia
Introduction
The report aims to present data analysis among class XII student variables who are studying in Alex Martin School, Melbourne. The school students are of different age, height, weight and gender. The data count is 50 and report aims to analyse relationship among the variables. The dataset has three quantitative variables and one qualitative variables. The report analyses relationship between weight and age and also relationship between the gender and average weight. Besides, the report also aims to touch socio economic issue of gender parity through analysing the percentage of girls in school as compared to boys.
Data Collection
The first step in any data analysis is data collection. Data can be collected through two sources i.e. primary source of data and second is secondary source of data. Under primary source, data is collected through interviews, survey etc while secondary source of data is data obtained from website, journals etc. in the present case, data has been collected from primary source which is through survey and questionnaire from 100 students of class XII and the data has been complied in excel sheet for our primary data analysis.
Data Analysis
The descriptive statistics analysis has been presented as under:
Age |
Weight |
Height (cm) |
|||
Mean |
17.88 |
Mean |
44.02 |
Mean |
113.3 |
Standard Error |
0.11 |
Standard Error |
1.05 |
Standard Error |
0.61 |
Median |
18 |
Median |
43.5 |
Median |
114 |
Mode |
18 |
Mode |
37 |
Mode |
110 |
Standard Deviation |
0.80 |
Standard Deviation |
7.41 |
Standard Deviation |
4.30 |
Sample Variance |
0.64 |
Sample Variance |
54.96 |
Sample Variance |
18.50 |
Kurtosis |
1.33 |
Kurtosis |
-0.46 |
Kurtosis |
1.16 |
Skewness |
0.22 |
Skewness |
0.60 |
Skewness |
-0.89 |
Range |
4 |
Range |
30 |
Range |
20 |
Minimum |
16 |
Minimum |
34 |
Minimum |
100 |
Maximum |
20 |
Maximum |
64 |
Maximum |
120 |
Sum |
894 |
Sum |
2201 |
Sum |
5665 |
Count |
50 |
Count |
50 |
Count |
50 |
Based on above data, it may be inferred that the mean age of the class students is 17.88 years which is normal age for class XII standard student in the City. The median age is 18 and so is the mode age which implies that there is no outlier in the data of the students. The sample variance of the data is 0.64 and the deviation is 0.80. The data has range of 4 with minimum age of student in the class being 16 and maximum age being 20 years. The sum of total age in the class is 894 years and the count of the data is 50.
For Weight
Based on above data, it may be inferred that the mean weight of the class students is 44.02 kgs which is normal weight for class XII standard student in the City. The median weight is 43.5 kg and mode is 37kg which implies that there is no outlier in the data of the students. The sample variance of the data is 54.96 and the deviation is 7.41 which is high. The data has range of 30 with minimum weight of student in the class being 34kg and maximum weight being 64 kg. The sum of total weight in the class is 2201 kg and the count of the data is 50.
For Height
Based on above data, it may be inferred that the mean Height of the class students is 113.3 cms which is normal height for class XII standard student in the City. The median height is 110 cm and mode is 110 cm which implies that there is no outlier in the data of the students. The sample variance of the data is 18.5 and the deviation is 4.30 which is high. The data has range of 20 with minimum height of student in the class being 100 cm and maximum height being 120 cm. The sum of total height in the class is 5665 cm and the count of the data is 50.
Correlation among Data
Correlation among data has been analysed to understand the relationship among variables. The computation has been presented among the three variables has been presented as under:
Age |
Weight |
Height (cm) |
|
Age |
1 |
||
Weight |
-0.13 |
1 |
|
Height (cm) |
-0.07 |
-0.36 |
1 |
Based on above data, it may be inferred that there exists negative correlation between age, weight and height. The negative correlation shows that as age increase in the class weight decrease. The relation established among data is not normal.
Gender Analysis
The gender analysis has been presented as under:
Row Labels |
Average of Age |
Count of Gender |
Average of Weight |
Average of Height (cm) |
Female |
17.96 |
24 |
37.5 |
115.5 |
Male |
17.81 |
26 |
50.04 |
111.27 |
Grand Total |
17.88 |
50 |
44.02 |
113.3 |
Based on above analysis, it may be inferred that class has major strength of male as compared to female. Further, the average age of girls in the class are higher as compared to male in the class. Further the weight of the girls in the class are much lower as compare to males in the class. The average height of females in the class is higher than the males. Thus, in the class it may be inferred that the women has higher height and lower weight as compared to boys in the class. Further, the age of girls are little bit higher than the boys in the class.
Conclusion
Based on above class analysis, it may be inferred that the data collected for school students depicts that the society gender parity is closing by with increase in enrolment of female candidates in the school. The average weight of girl students are lower than the male student and the height of the girl student are higher than male student. There exists big disparity in weight while other data is more or less similar in the present case. Further, the overall class weight, height and other aspects are within the range of the societal expectations.
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