# Statistic: Unemployment and Data Essay

Submitted By Karen-YI
Words: 1284
Pages: 6

Course code:FC040
Subject:Statistic
Student number：T0030592
Name:HoiYi Xian(Karen)
Research project : unemployment in the UK

Unemployment in the UK

Nowadays, there are some society issue existing. One of the main issue in UK is for the unemployment. Therefore, in the research project i would like to examine the rate of unemployment in the UK. Furthermore, for the purpose of this project, i will analysis the data for males and females unemployment in different stages of aged over the past 6 years in UK. And also will evaluate with my own ideas for the data.

Section one:processing of the data
In this section, i will classify the data in tables and several mathematical calculation.

Unemployment
Overall (units: thousand)

Female unemployment up to 6 months (units: thousand)
Year/aged
16-17
18-24
25-49
Over 50
Average
Standard Deviation
TOTAL
2009
76
168
265
64
143.25
80.9918978
573
2010
131
384
498
109
280.5
165.666080
1122
2011
211
554
767
188
430
242.626256
1720
2012
66
172
257
71
141.5
78.9635992
566
2013
183
515
707
202
401.75
220.087909
1607
2014
128
339
474
143
271
143.758478
1084

Year/aged
16-17
18-24
25-49
Over 50
Average
Standard Deviation
TOTAL
2009
80
251
369
125
206.25
112.9499336
825
2010
134
437
500
194
316.25
155.3260683
1265
2011
218
666
740
284
477
228.702864
1908
2012
67
233
240
88
157
79.88429132
628
2013
202
653
727
271
463.25
229.5543236
1853
2014
123
387
391
161
265.5
124.2366693
1062
Male unemployment up to 6 months (units:thousand)

Calculation
Female
2009-2014 Female 16-17 18-24 25-49 Over 50
Minimum
score
66
168
257
64
Maximum
score
211
554
767
202 Range
145
384
510
138 Median
128
339
474
109
Lower quartile
76
172
265
71
Upper quartile
183
515
707
188 IQR
107
343
442
117

Male 2009-2014 Male 16-17 18-24 25-49 Over 50
Minimum
score
67
233
240
88
Maximum score
218
666
740
284 Range
151
433
500
196 Median
123
387
391
161
Lower quartile
80
251
369
125
Upper quartile
202
653
727
271 IQR
122
402
358
110

Section 2:displaying of data In this part i will showing the data with graph.
Male&Female unemployment pie chart(2009-2014)
2009
2010 2011

2012

2013

2014

Histogram

2009-2014 Female unemployment bar chart
(up to 6 months)

2009-2014 Male unemployment bar chart
(up to 6 months)

Male
2009
2010
2011
2012
2013
2014

16-17
80
134
218
67
202
123

18-24
251
437
666
233
653
387

25-49
369
500
740
240
727
391

over 50
125
194
284
88
271
161

Section Three – Analysis of Data The tables in the section one are showing the information about unemployment rates in the UK. Table 1 is displaying the data for all aged of unemployment both women and men between 2009 and 2014. As a whole, the peak of unemployment rates is in 2011. On the contrary, the lowest number of unemployment is in 2012. Overall the data is in the fluctuating trend. In table2 and 3, I classified the unemployment data between men and women. In general, the unemployment of males are more than females. Moreover people who in the aged of 25 to 49 are the most ,both women and men. The less unemployment aged for males is between 16 to 17 years old, but for females is in over 50 years old. In the part of mathematical calculation, I have calculated men and women unemployment separately. Then i used the data to create the box plot for each sex. In section 2, I displayed the data with pie chart ,histogram, and bar chart. For pie chart, i have sum up the data from different age group of each year. It compare women and men unemployment between 2009 and 2014. Obviously, male occupy more positions than female, so there are more unemployment for male. Then go to the histogram, I am also sum up the age group and separately of gender in showing the data for each year For the bar chart, I performed the data from 2009 to 2014 with 4 stages of aged. It can be obvious shown that the highest