Sparco Paints Essay Example for Free

Sparco Paints Essay Sika Paint Industries (Pvt) Limited is the manufacturer of the leading brand â€Å"SPARCO† commonly known by its trademark SPARCO Paints in the domestic and the international market. Sika has steadily and progressively marched into newer heights of popularity and accomplishments in the past more than two decades of its inspection. The company was founded by Malik Muhammad Javaid Iqbal in 1988 as a sole proprietorship concern led its fast growth with dynamism to make it a private limited company in 2004. Ever since, the world of possibilities has never stopped coming around for the company. Dynamic Success From a small business to a dynamic enterprise, Sika Paint Industries has consistently set foot through major cornerstones of its industry, gaining numerous milestones and nationwide recognition to its credit. The company has met the growing demand of its huge industry through steady development of its product range resulting in not only a major market share but a larger base of loyal customers having good standing with them. Over the years, the quality of its brand Sparco Paints has remained unscathed and caters to both the local and international export market. Our Reasons of Growth Amongst its many success factors, the deployment of technology, innovation and robust marketing and branding activities have led to the rapid growth of Sparco Paints. The company concentrates primarily on decorative, industrial, auto, wood finishes and road marking paints for which the company owns the state-of-the-art manufacturing establishment equipped with latest machinery and laboratory facilities. Center of Effective Research The company actively engages up-to-date research to boost the economic value of its paints and strives to improve its product quality with each passing day. The extensive research for innovative product knowledge and methods to engineer the product quality constantly invigorates its existence. The company has engaged in constant researching for best practices for the product development and hence successful in completely retaining its valued customers. Having received the ISO 9001:2008 quality control standard certification for its unmatched quality, the company implements its intricate quality assurance policies at all manufacturing stages including the procurement of raw material, its handling, work in progress, packing, finishing and the timely delivery of end products to the customer. The company firmly believes on providing the paint products of premium quality with intense technical support and color advisory services. The company promises to provide excellent service and achieve its objectives through experienced and well trained professionals of the industry and competitive pricing.

Women As Leaders :: History Females Historical Leader Essays

†A woman is like a tea bag -- you can't tell how strong she is until you put her in hot water.† - - Nancy Reagan More and more women are rising to the leadership challenge, even in some of the most male-dominated industries. The increase in the number of women attending university, in the workplace or starting their own business has demonstrated to men who own businesses that women can be both managers and mothers, thus showing their male counterpart that women can in fact "do it all". In this paper the history of women in the workforce will be outlined, as well as the challenges they face. The changing attitudes towards women taking over family businesses will be looked at briefly, how women lead along with a comparison to how men lead, and a critique and conclusion of their leadership style will also be discussed. History and The Challenges Women Face A number of events have occurred over the last twenty-five years or so that have resulted in the rise of the female in the work-for-pay world. Beginning in the mid-1970's, women began going to business school and earning their Master's of Business Administration and, as a result, building on that education and gaining work experience (Nelton, 1999). The days of the one income family are over. Females need to be armed with a university or college degree to be a contributor to this century's model of the family unit and in this time of "education inflation", the demand for higher education is growing at a staggering rate. In the corporate sector, the generation of women who entered the corporate world two to three decades ago have blazed the trail now followed by ever-growing numbers of women (Shaiko, 1997). The great strides women are making in the work force can be attributed to numerous factors including the: "passage of equal employment opportunity legislation's, modifications in job requirements, more females on the buying side, elevated educational achievements by females, more women in business schools, the huge percentage of female business school graduates with 'androgynous' orientations, and the willingness of many young women to postpone marriage and child-bearing." (Comer, et.al, 1997) While women continue to make progressive strides toward equality, few have risen to the highest positions-leading companies to the new millenium (Andorka, 1998). Fortunately, women can now demand equal treatment in their respective organizations as a result of the aforementioned changes in history.

Math Studies Sl Internal Assessment

Dependency of a Boxer’s Win rate on Reach and Gender Antonio Paolo Gomez Candidate No. 003902-006 Northbridge International School Cambodia Math Studies Internal Assessment Word Count: 1655 Statement of Task3 Plan3 Data4 Math Processes5 Simple math processes:5 Pearson’s Correlation Coefficient r:7 Chi-Square8 Discussion/Validity10 Conclusion10 Works Cited11 Statement of Task Boxing is a very well known sport around the world, where two disciplined athletes face off in a ring, trading blows until one of them submits or until judges decide a winner.The sport revolves around throwing blows with their fists, and to organize said athletes, their characteristics are measured, and their accomplishments are recorded. Before a fight is held, a fighter’s profile is summarized, mentioning the person’s height, weight, reach, and their win/loss record. All of what is mentioned is said to play a big part in the flow of the match. The purpose of this investigation is to determine if there is a relationship between a boxer’s reach and his winning rate. The data that will be taken will be professional boxers’ measured reach and their counts of wins and losses for winning rate.The measurement of a boxer’s reach is used to determine how far he can extend his punch. The measure of boxers’ reaches and their records of wins and losses will be used to determine if reach is one of the larger factors that affect an athlete’s chances in a match. Plan The investigation will include data gathered from professional boxers, which are their reach and their counts of wins and losses. The data that will be collected can be collected from official sites online, which have brief profiles of athletes’ measurements. I will be using official sites since they tend to be up to date and have accurate and legit information.The amount of data collected will consist of 30 athletes, half of whom are male and half are female. The data wi ll be collected from official boxing sites such as BoxRec. com, which contains the profiles of numerous official boxers and their measurements, which includes their reach and wins and losses. The data for one athlete will consist of his reach and his win/loss record. I will attempt to avoid any professional athletes that are relatively new to the professional stage, so I will be looking at boxers with around at least five years of experience.Once the data has been acquired, the data will be analyzed using different mathematical processes. A scatter plot will be used to plot out said data. The correlation coefficient r will be calculated. The   test of independence will be used to determine if there is a dependency between a boxer’s gender and winning rate. Data | Males| | Boxer| Reach (cm)| Win Rate (%)| 1| 170| 90. 00| 2| 173| 96. 77| 3| 183| 96. 88| 4| 194| 88. 57| 5| 183| 87. 88| 6| 207| 92. 31| 7| 177| 94. 29| 8| 183| 72. 34| 9| 201| 100. 00| 10| 198| 95. 24| 11| 198| 8 0. 77| 2| 179| 86. 21| 13| 179| 89. 29| 14| 183| 87. 88| 15| 180| 89. 66| | Females| | Boxer| Reach (cm)| Win Rate (%)| 1| 165| 89. 47| 2| 161| 86. 67| 3| 167| 66. 04| 4| 166| 75. 00| 5| 162| 81. 25| 6| 168| 93. 33| 7| 163| 76. 47| 8| 162| 75. 00| 9| 159| 88. 46| 10| 167| 86. 21| 11| 176| 80. 95| 12| 171| 83. 87| 13| 168| 82. 61| 14| 166| 78. 95| 15| 169| 90. 48| From the scatter plot using both male and female sets of data, we can predict that the calculated correlation would be weak and that a boxer’s win rate weakly correlates with his/her reach.This can be seen as the data points are spread and plotted quite far from the line of best fit. Math Processes Simple math processes: Average: Males * Reach in centimeters: 170+173+183+194+183+207+177+183+201+198+198+179+179+183+180=2788 2788/15= 185. 8666667 cm * Win rate in percentage: 90. 00+96. 77+96. 88+88. 57+87. 88+92. 31+94. 29+72. 34+100+95. 24+80. 77+86. 21+89. 29+87. 88+89. 66= 1348. 09 1348. 09/15= 89. 87% Average: Fema les * Reach in centimeters: 165+161+167+166+162+168+163+162+159+167+176+171+168+166+169= 2490 2490/15= 166 cm * Win rate in percentage: 89. 7+86. 67+66. 04+75+81. 25+93. 33+76. 47+75+88. 46+86. 21+80. 95+83. 87+82. 61+78. 95+90. 48=1234. 76 1234. 76/15=82. 32 Average: both genders * Reach in centimeters: 2788+2490=5278 5278/30=175. 93 cm * Win rate in percentage: 1348. 09+1234. 76= 2582. 85 2582. 85/30= 86. 095% We can see a small difference in win rate between the genders, with male boxers having a higher win rate by about 7%. We can see a bigger difference between the reach of the two genders but this would most likely be because men tend to grow and develop their bodies naturally larger than women.Standard Deviation: Reach: Males: Sx=170-185. 872+173-185. 872+183-185. 872+194-185. 872†¦180-185. 87215 Sx=10. 626 Females: Sx=165-1662+161-1662+167-1662+166-1662+162-1662†¦169-166215 Sx=4. 163 Both Genders: Sx=170-175. 932+173-175. 932+183-175. 932+194-175. 932†¦169-175 . 93230 Sx=12. 798 We are able to see that the standard deviation is greater for the male boxers female boxers. We can assume that the pieces of data from the men are spread farther from the mean as compared to the data from the women. This means that in regards to the data collected, female boxers seem to be closer n their measured reach as compared to the males. The standard deviation for both groups surpasses the calculated standard deviation for the separate male and female groups, meaning that as a whole range of data, the reaches recorded altogether are even more spread out from the average as compared to the genders separately. Standard Deviation: Win rate: Males: Sx=90-89. 872+96. 77-89. 872+96. 88-89. 872+88. 57-89. 872†¦89. 66-89. 87215 Sx=6. 67 Females: Sx=89. 47-82. 322+86. 67-82. 322+66. 04-82. 322+75-82. 322†¦90. 48-82. 32215 Sx=6. 995 Both Genders: Sy=90. 00-86. 0952+96. 7-86. 0952+96. 88-86. 0952+88. 57-86. 0952†¦90. 48-86. 095230 Sy = 7. 8087 We can s ee from the calculated standard deviations that the standard deviation for the win rate of males and females are close to each other, meaning that both have pieces of data that are similarly far from the calculated mean. In regards to all data recorded regardless of gender, the standard deviation is found to be slightly higher, meaning that the pieces of data for both genders are slightly farther from the mean as compared to the separate gender groups of data. Subject| Reach| Win Rate| xy| | 170| 90| 15300| 2| 173| 96. 77| 16741. 21| 3| 183| 96. 88| 17729. 04| 4| 194| 88. 57| 17182. 58| 5| 183| 87. 88| 16082. 04| 6| 207| 92. 31| 19108. 17| 7| 177| 94. 29| 16689. 33| 8| 183| 72. 34| 13238. 22| 9| 201| 100| 20100| 10| 198| 95. 24| 18857. 52| 11| 198| 80. 77| 15992. 46| 12| 179| 86. 21| 15431. 59| 13| 179| 89. 29| 15982. 91| 14| 183| 87. 88| 16082. 04| 15| 180| 89. 66| 16138. 8| 16| 165| 89. 47| 14762. 55| 17| 161| 86. 67| 13953. 87| 18| 167| 66. 04| 11028. 68| 19| 166| 75| 12450| 20| 162| 81. 25| 13162. 5| 21| 168| 93. 33| 15679. 44| 22| 163| 76. 47| 12464. 1| 23| 162| 75| 12150| 24| 159| 88. 46| 14065. 14| 25| 167| 86. 21| 14397. 07| 26| 176| 80. 95| 14247. 2| 27| 171| 83. 87| 14341. 77| 28| 168| 82. 61| 13878. 48| 29| 166| 78. 95| 13105. 7| 30| 169| 90. 48| 15291. 12| sum| 5278| 2582. 85| 455634| average| 175. 9333| 86. 1| 15187. 8| Pearson’s Correlation Coefficient r: Covariance: x-x(y-y)n or xyn-x y x=175. 93 y=86. 095 xy=455634. 04 455634. 0430=15187. 80133 15187. 80133-175. 9386. 095=41. 10789 Correlation: r=SxySxSy Sxy=41. 10789 Sx=12. 798 Sy=7. 8087 41. 1078912. 798(7. 8087)=. 411344119 r=. 411344119 r2=. 1692039842Correlation coefficient r is calculated to be very weak, meaning that reach and win rate show very little correlation and that a boxer’s reach is not a big factor of his or her chances of victory. With low correlation between a boxer’s reach and win rate, I will now see if gender is a factor of an athlete’s win rate by calculating chi squared. Chi-Square Observed Values | Numerical| Numerical| Total| Category| A| B| A+B| Category| C| D| C+D| Total| A+C| B+D| N| Calculating Expected Values | Numerical| Numerical| Total| Category| (A+B)(A+C)/30| (A+B)(B+D)/30| A+B| Category| (C+D)(A+C)/30| (C+D)(B+D)/30| C+D|Total| A+C| B+D| N| Intervals have been decided by average of the winning rates of the two genders. (82. 32+89. 87)/2=86. 095 Observed Data Values | Win rate > 86%| Win rate ? 86%| Total| Male| 2| 13| 15| Female| 9| 6| 15| Total| 11| 19| 30| Calculated Expected Data Values | Win rate > 86%| Win rate ? 86%| Total| Male| 5. 5| 9. 5| 15| Female| 5. 5| 9. 5| 15| Total| 11| 19| 30| Degrees of Freedom Df=(Rows-1) (Columns-1) (2-1)(2-1) = 1 ?2=fo-fe2fe fo = Observed Frequency fe = Expected Frequency ?2=1-323+7-7. 527. 5+7-4. 524. 5+5-323+8-7. 527. 5+2-4. 524. 5 Chi Square Value Table o| fe| fo-fe| (fe-fe)^2| (fo-fe)^2/fe| 2| 5. 5| 3. 5| 12. 25| 2. 227272727| 13| 9. 5| -3. 5| 12. 25| 1. 289473684| 9 | 5. 5| -3. 5| 12. 25| 2. 227272727| 6| 9. 5| 3. 5| 12. 25| 1. 289473684| | | | sum:| 7. 033492823| ?2= 7. 033 Degrees of freedom= 1 Significance level= 5% 5% significance is used because it is the most common level of significance used. HO= Gender and win rate are independent of each other H1= Gender and win rate are dependent of each other The ? 2 critical value at 5% significance with 1 degrees freedom is found to be 3. 841. The ? 2 value is greater than the critical value: 7. 33>3. 841, the null hypothesis is rejected and it can therefore be assumed that a boxer’s win rate is dependent of his or her gender. Discussion/Validity The investigation carried out to observe the correlation of Win rate and reach and win rate and gender has a few limitations that have affected the outcome of the results. One limitation is that although it is taken into account the reach of each boxer, their size and weight places them in different classes for professional fights. This means that f ighters would normally be fighting people that have similar size, and theoretically, similar reach.With similar reach between two fighting boxers, the outcome of an athlete’s history of fights really could have been affected by other factors such as tactics and strength. Another limitation would be the fact that all of the collected pieces of data are all of high win rates. In boxing records and leagues, if there is a boxer who has won 90% of his matches, there should also be a boxer who has lost that many of his matches as well. The collected data covers 30 pieces. This is done to supply a large amount of data, enough to give reasonably accurate results.Half of the data gathered covered male boxers and the other half covered female for the purpose of investigating the dependency of win rate on gender with chi squared. One limitation in regards to the genders, is that there is no co-ed boxing, meaning that females and males do not compete with each other and are separated int o two genders for boxing matches. Although there is no specified threshold for winning rates in boxing, the intervals decided in the chi squared tables can be justified as the below and above averages for the average win rates of the two genders.Conclusion The found ? 2 value of 7. 033 rejects the null hypothesis, that Win rate for boxers is independent of their gender and accepts the alternative hypothesis, that a boxer’s win rate is dependent of a boxer’s gender. The extent of this calculation is affected by the nature of the data collected. The data that was collected for males and females consisted of high win rate percentages, and in boxing, when there is an individual who has won 70% of his matches, there is sure to be an athlete who has lost 70% of his matches as well.The investigation shows that there is a very low correlation between reaches and win rate for boxers regardless of their gender. This outcome could have been affected because of one of the mentione d limitations above, where boxers of similar size and weight are placed in the same class and fight, so reach becomes less of a factor for victory as compared to strength, speed, and tactics. Works Cited Boxrec Boxing Records Ratings. 4 November 2012 . Boxrec. Boxrec Boxing Records.

Supreme Court and Womens Rights Essay - 1471 Words

In the second part of the twentieth century, women’s rights once again gained a lot of momentum. The women’s liberation movement was born out of women civil right activists who were tired of waiting for legislative change for women’s rights. Even though women are being recognized more in society, they still face difficult issues. Sexism –especially in the workforce –is becoming a major issue, birth control pills are still not popular, and abortions are frowned upon in society. The case Roe v. Wade is about a woman with the fake name of Jane Roe who wanted an abortion but the state of Texas would not let her unless her life was in danger. She sued the district attorney of Dallas County saying that it violated the right to privacy under the†¦show more content†¦In a 7-2 opinion, the Court decided that â€Å"a pregnant woman can have an abortion for the first three months without the state interfering, the state can regulate abortion but canà ¢â‚¬â„¢t prohibit it, and the state can regulate or forbid all abortions except to save the life of the mother† (â€Å"Landmark Cases of the U.S. Supreme Court†, n.d.). Jane Roe is fighting a society who is mainly against the idea of having an abortion. While her being unmarried glimmers hope in the case for a reason to have an abortion, she needs more arguments than that. One of the arguments that she used to support her case was that the Texas abortion law that says â€Å"a woman cannot have an abortion unless her life is threatened† (â€Å"Landmark Cases of the U.S. Supreme Court†, n.d.) is very vague. 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