Any initiation by consumers leading to a product boycott may be an outcome of a faulty issue perceived out of the four Ps by Consumers, highly detrimental to the brand image and producers business. Whatever the cause of consumer boycott may be is directly related to a single or a multiple set of 4 Ps of marketing factors involved. The release of an erroneous product or a faulty promotion may be the cause of a consumer protest but hazardous logistics and pricing mal practices can also lead to a consumer commotion and vociferous agitation paralyzing sales and market profitability of the targeted company worldwide. This paper focuses on the intricate issues involve in the formulation of four Ps in the market with relation to tentative reasons leading to a consumer boycott act , how the marketing mix of four Ps become so important in a consumer boycott act shall be examined and how the dos and don’t of 4 Ps must be considered by companies to mitigate consume  unrest and boycott  globally to minimize market chaos.Keywords: Boycott, consolidation,Four Ps.

 

 In this study, an effort has been done to establish the relationship between statures of different persons in Western Uttar Pradesh region of India and their inter-acromial lengths and to develop regression equation formulae from these two variables by simple regression analysis and so many Ethical issues  involved in the study are  minimal and there is no anymore invasive methods are to be used. Methods : This study been carried out over a period of one year from 2014 to march 2015. During this period , 400 subjects i;e- 200 males and 200 females ,born and brought up in Western U.P. region ,aged 20 years and above upto 25 years old persons, have been chosen for the reason that by this age, there is completion of skeletal growth by ossification of long bones. After statistical analysis of the results, three regression equation formulae were obtained from the relationship between statures and inter-acromial lengths of females, males and males & females combined. The study sample comprised of randomly selected four hundred (400) students of Teerthankar Mahaveer University. The participants are explained about the purpose and procedure of the study and informed consent was obtained. The data for the present study are stature and inter-acromial length. Result: We have used computer based programs for our calculated a linear equation of the form equation;- (“Y = a + b(X)”). The linear regression equation derived from Inter-acromial distance for estimating height showed statically non-significant relationship [P < 0.005] in both genders. The formulae have been obtained by using the statistical equations in both males and females separately;- The Regression formulae is;- {Y = a + b(x)}   Where;-  Y= Value of stature ( cm ), X=Variable mean

( cm ), a = Intercept, b= Regression coefficient. 

Discussion and Conclusion: The level of marginal significance within a statistical hypothesis test, representing the probability of the occurrence of a given event. In this study the p- value is 0.178 in females and 1.408 in males, in case of females the p- value indicates that the result is statically significant approximately but not accurate. here 0.178 is nearly to the value of 0.05,which indicates nearly significant result in this study. In the case of males the p- value is more than 0.05,it is 1.408 in males , this indicates that the correlation is much more lesser than threshold value ,so that it indicates that the result is statically insignificant in case of male’s p-value. The estimation of height by organizing regression equations for males and females separately, with the help of obtained all the quantitative statistical data. There exists a significant correlation of height with the inter-acromial length of an individual in both the sexes, these significant correlations organized into the form of regression equations for both sexes separately and that stature can be estimated with the inter-acromial length when mutilated upper parts of the trunks are available or when bony parts of any individual is present. regression equation formulae “ y= 95.93 + (-0.377)146”or “y= 38.29”,with standard error ± 3.50 in males and “y= 6.41 +( 0.90)169” or “y= 38.52”,with standard error  ± 22.08 in females can be useful in estimating stature of the population of Western U.P. region.

Keywords:  Forensic Anthropology, Identity, Inter-Acromial Length, Stature, Regression Equation.

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