Estimating Male and Female Earnings in Private Sector
Added on 2021-01-01
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STATISTICS FORMANAGEMENT
![Estimating Male and Female Earnings in Private Sector_1](/_next/image/?url=https%3A%2F%2Fdesklib.com%2Fmedia%2Fimages%2Fmd%2F95bec6370cd04b828db92ac156c5ac45.jpg&w=3840&q=10)
Table of ContentsINTRODUCTION...........................................................................................................................1ACTIVITY 1....................................................................................................................................11. a determination of male and female earnings in public sector................................................11 B determination of male and female earnings in private sector...............................................21 C Presenting earning time chart for different group from year 2009-2016.............................21.d Annual growth rate of earnings of each group......................................................................4ACTIVITY 2....................................................................................................................................52.A.a Estimation of the median hourly earnings with the use of Ogive chart with quartile.......52.A.b Determining the standard deviation and mean with regards to hourly earnings...............72.B Presenting comparison on the earnings of London and Manchester region........................8ACTIVITY 3....................................................................................................................................9a. Calculation of economic order quantity..................................................................................9b. Occurrence of order and cost.................................................................................................9c. Calculation of inventory policy cost.......................................................................................9d. Identification of the current service level................................................................................9e. Determining the re-order level................................................................................................9ACTIVITY 4....................................................................................................................................94.A Formulating charts for RPI, CPI and CHIP form 2007-2017..............................................94.B Formulating the O-give chart for cumulative % of leisure staff employee and hourlyearnings.....................................................................................................................................11........................................................................................................................................................11CONCLUSION..............................................................................................................................11REFERENCES..............................................................................................................................12
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INTRODUCTIONBusiness statistics can be defined as science of decision making in between the standinguncertainties and it is used by the financial analysis under different disciplines such as financialanalysis, econometric, auditing, production and operations which includes service improvementsand marketing research. In the present report a detailed discussion related with earnings of maleand female employed in private and public sector. Along with this the earnings of leisure staff inLondon area is determined with the use of Ogive chart. In the lase section of the reportcomparison of the earning is two regions that is London and Manchester is identifiedACTIVITY 11. a determination of male and female earnings in public sectorNull Hypothesis (H0): No significant difference in the nearing under the public sectorwith regards to men and women in this sectorAlternative hypothesis (H1): Significant difference in the nearing under the publicsector with regards to men and women in this sector.Interpretation:From the above table it can be seen that the value of p is more than 0.05 at 95%significant level (Greenwood and Schneider, 2019). This means the null hypothesis is accepted1
![Estimating Male and Female Earnings in Private Sector_3](/_next/image/?url=https%3A%2F%2Fdesklib.com%2Fmedia%2Fimages%2Frg%2Fd6e40ab9a6d44e97bfe6e8940745cc61.jpg&w=3840&q=10)
and it shows that there is no significant relation between the earnings of male and females in thepublic sector. 1 B determination of male and female earnings in private sectorNull Hypothesis (H0): No significant difference in the earing under the private sectorwith regards to men and women in this sectorAlternative hypothesis (H1): Significant difference in the nearing under the privatesector with regards to men and women in this sector.Interpretation:From the above table it can be interpreted that the value of p is more than 0.05 and ticomes to be 1.35 and this so that null hypothesis is accepted (Baak and et.al., 2015). This meansthe incomes of both male and female in the private sector goes in opposite direction and there isno significant difference in their earnings.1 C Presenting earning time chart for different group from year 2009-2016Annual income of men in private and public sector2
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