nd-picked to constitute a team of 20 students without condition or any other consideration (be it a student of any level, of any particular gender or age).
The result of the average of the sample in comparison with the population is showing a relative large deviation since the first sample is just a mere representation of the whole population constituting 20% of the whole population in general. Another aspect of the big deviation is the existence of extreme values within the first sample for instance while student ID no. 1 has zero days for being absent, the student ID no. 7 has 13 days of absenteeism.
The second sample of this sampling technique is categorically picked on the basis of gender. The technique seeks to investigate the difference created as a result of the school attendance among the boy-child vis a vis the girl-child. This second sample particularly check the absenteeism rate across the whole school for the girl-child gender.
The list of the 20 students randomly picked from the whole population of the 100 students are as stated in correspondence with their ID numbers and the number of days a student has been absent from school over the period.
The positive deviation felt in the second sample as compared to the population average is as a result of reduction in sample space from 100 to 20 students for the sampling purposes. The average rate of absenteeism among the girls is slightly higher than the average population average, showing absenteeism is higher among girl-child in school.
The third sample of this sampling technique entails the 20 boys among the 100 students population. This sample randomly picks at student from any grade, any age as long as he is a boy-child for this sampling purpose. Their ID numbers are recorded alongside their respective number of days one has been absent from school as follows:
The average rate of absenteeism among the boys in the school is slightly above the average rate of absenteeism in the general population of