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There were 1250 skilled and 400 unskilled workers in a private company in the year 2011. There were 220 female workers and of them, 140 were unskilled. In the year 2012, the number of skilled workers was 1475 and of them, 1300 were males. Out of 250 unskilled workers, 200 were males. In 2013, there were 1700 skilled and 50 unskilled workers. Out of total workers, 250 were females of them 240 were skilled. In the year 2014, there were 2000 workers and of them 2 % were unskilled. Out of total workers, 300 were females and of them, 10 were unskilled. Present the above data in the form of table.

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In the given data, there are three attributes:

  1. Year : 2011, 2012, 2013, 2014;
  2. Training: Skill, Unskilled;
  3. Sex: Male, Female.

According to these three attributes, the data is classified and table is prepared as follow:

Table showing the number of workers during the years 2011 to 2014, according to their training and sex

Explanation : 

2011 : Total number of workers = 1250 Skilled + 400 Unskilled = 1650
No. of female workers = 220
∴ No. of male workers = 1650-220 = 1430
No. of unskilled workers = 400; No. of unskilled female workers= 140
∴No. of unskilled male workers = 400 – 140 = 260

Now, No. of skilled female workers = 220 – 140 = 80
∴ No. of skilled male workers = 1430 – 260 = 1170

2012 : Total number of workers = 1475 skilled + 250 unskilled = 1725
No. of skilled workers 1475;
No. of skilled male workers = 1300

∴ No. of skilled female workers = 1475- 1300 = 175
No. of unskilled workers = 250,
No. of unskilled male workers = 200
∴ No. of unskilled female workers = 250 – 200 = 50
In this manner, calculate for 2013 and 2014.

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