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Statistical Analysis Project - Report

   

Added on  2020-06-05

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STATISTICAL ANALYSIS
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TABLE OF CONTENTSINTRODUCTION................................................................................................................................1TASK 1.................................................................................................................................................1Change in gross annual earning in public and private sector......................................................1Gap between the gross annual earnings of male and female......................................................2TASK 2.................................................................................................................................................3Evaluation and analysis of difference in hourly pay rates (South East).....................................3Analysis and evaluation of weekly turnover...............................................................................8TASK3................................................................................................................................................10Understanding the Supply of a local supermarket....................................................................10TASK4................................................................................................................................................12CONCLUSION..................................................................................................................................13REFERENCES...................................................................................................................................15
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INTRODUCTIONStatistical analysis is one of the data analytics tool. Statistical analysis includes collection ofdata and scruitinizing of data using statistical and mathematical models. A sample is drawn fromthe statistical data and then statistical tests are applied thereon. Importance of statistical analysisis all pervasive i.e. in economy as a whole or in the organisational world. Information that cannotbe determined using financial analysis can be determined using statistical analysis (Little andRubin, 2014). These information is then used by managers and supervisors in making decisionsand forecasting the future. In the present report, statistical tests have been applied to the variousdata. This includes calculation of percentage change in the earning capacity of different segmentsalong with the interpretation, statistical calculations like mean, median standard deviation andcoefficient of correlation is also present in this report along with the required tables and charts.This report also includes calculation of economic order quantity with the understanding ofsupply of local supermarket.TASK 1Change in gross annual earning in public and private sectorParticulars20092010201120122013201420152016private sector4691346532467984801848899464565028451930change-3812661220881-244338281646% change-1.00%1.00%3.00%2.00%-4.00%8.00%3.00%public sector5586257377578505845259879605836158562064change151547360214277041002479% change3.00%1.00%1.00%2.00%1.00%2.00%1.00%In the calculation of above data, approximated percentages have been considered. Fromthe above data it can be seen that in case of private sector, there is more variation in the growthof annual earnings in comparison to that of public sector. In the years like 2010 and 2014, thegross annual earning in private sector declined drastically by 4%. The reasons behind thisdownfall could be regulations of government, decline in the profit of private sector,discontinuation of private companies, etc., (Mandel and Semyonov, 2016). However, in 2015,gross annual earnings in private sector has shown a high jump to 8%. This much percentageincrease in 2015 is a good indication of the profit earning capacity of the private sector. In case
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of public sector, percentage change in the combined annual earnings can be seen as constant.There is the variation by just 1%. This means in public sector, the rotation of employees andtheir salaries is constant along with the total earning capacity of the sector. The reason behindthis could be harsh recruiting process in the public sector with the impact of corruption.However, like private sector, public sector has not shown negative earning in any year. Thehighest percentage of growth in public sector was seen in 2010 i.e. 3%. In most of the followingyears, change can be seen as just 1%. Gap between the gross annual earnings of male and femaleThe gap between the gross annual earnings of male and female can be determinedseparately in public sector in private sector.Public sector20092010201120122013201420152016male3063831264313803181632541328783368534011female2522526113264702663627338277052790028053gap between maleand female54135151491051805203517357855958private sector20092010201120122013201420152016male2736227000272332770528201284422888129679female1955119532195652031320698210172140322251gap between maleand female78117468766873927503742574787428In case of both the sectors i.e. public sector and private sector, gross annual earnings ofmale are high in all the years. It can't be seen in any year that the annual earnings of female aremore from the annual earning of male in any of the sector. When talking about the gap betweenthe earnings, in case of public sector gap between the gross annual earnings of male and femaleis less than that of private sector (Bradley, Postel-Vinay and Turon, 2017). Reason behind thiscould be that the share of employment of women in the public sector than the share of women inprivate sector. There are fewer women working in private sector than compared to public sector.The another reason could be that the remuneration of women in public sector is high than that ofwomen in private sector. Or, the variation between the remuneration of male and female is
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