Question

This question covers aspects and integration of personal development planning and data analysis skills towards professional engineering competencies for employability.

Consider the data-set shown in Table 2, which is a subset of employment statistics for the UK from between 2009 and 2018. For the dates specified, the data records an estimate of the number of thousands of engineering professionals, and of IT and Telecommunications professionals, classified according to sex.

Table 2 A subset of employment statistics for the UK from 2009 until 2018

Date	Sex	Total Thousands (000’s) employed
		Engineering	IT & Telecoms
Apr-Jun 2009	F	36	56
Apr-Jun 2009	M	431	420
Apr-Jun 2010	F	32	67
Apr-Jun 2010	M	460	421
Apr-Jun 2011	F	27	120
Apr-Jun 2011	M	395	651
Apr-Jun 2012	M	392	675
Apr-Jun 2012	F	23	120
Apr-Jun 2013	M	398	738
Apr-Jun 2014	F	32	124
Apr-Jun 2015	F	42	171
Apr-Jun 2015	M	426	758
Apr-Jun 2016	F	37	173
Apr-Jun 2016	M	438	777
Apr-Jun 2017	F	48	155
Apr-Jun 2018	F	58	165
Apr-Jun 2018	M	433	834

Source: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/datasets/employmentbyoccupationemp04

• Imagine that you have been invited to a job interview where you will be asked to give a presentation to a non-expert audience. In advance of the interview you are sent the data in Table 2.
  • i.By use of appropriate representation identify and show three significant correlations or trends in the data, and suggest reasons for these trends. Include your representation as part of your answer, together with descriptions of the three correlations or trends you have identified.
  • ii.Comment on the reliability of your observations of the trends in the data.

Answer 1

The graphical representation of data is as follows.

the above chart represents the number of employees employed in engineering department both male & female

The above trend shows that the recruitment of female employees is low & male is high in very year.

The above chart represents the number of employees , employed in IT and Telecommunication department which shows that number of female employees employed is low compared to the number of male employees employed.

The above two charts represents the total number of employees, employed each year irrespective of gender .

In IT & Telecommunication department chart the number of employees employed in the year 2014 & 2017 is low compared to other years.

In Engineering department chart the number of employment employed in the year 2014 & 2017 is low compared to other years.

The above charts are graphical representation of the given date which helps us to understand the data more easily and interpret some results from it