...Fibre Cement Sheets A Marketing Perspective Fibre Cement Sheets A Marketing Perspective 1. Introduction Fibre Cement Sheets (FCS) account for around 11% of the roofing market in India. Valued at around INR 39 Billion, this industry segment is expected to clock growth rates of about 8 to 10 % [1]. The industry follows an oligopoly market structure and hence the players have similar pricing and limited brand premium. The big 4 in this industry, (viz Everest Industries Limited, Hyderabad Industries Limited, Ramco Industries Limited and Visaka Industries Ltd.,) cover about 70% of the market capacity. a. Growth Drivers Along with the growth in the overall roofing market, the Fibre Cement Sheet market is growing on count of the following factors: a) Increased Income in rural areas: gradual shift from thatched roof. b) Growing government impetus for affordable rural housing c) Advancements in technology, making it a viable alternative to traditional housing material like clay tiles. d) Increasing warehousing requirements in urban, semi-urban centers. e) Increasing urbanization of India, as shown by the rapid increase in the number of towns. (Census towns in India grew from 1362 in 2001 to 3894 in 2011.) 2. Segmentation Though FCS was primarily used for industrial purposes, increase in the production volume, along with ease of access has transformed this into a retail product. The users for FCS can be grouped as per their common needs...
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...consumption and usage demographics of the confectionery industry in the Philippines. Introduction Provides market value and volume estimates from 2004 to 2009 and forecasts from 2010 to 2014. Includes analysis of consumption and usage demographics for the Philippine confectionery products by splitting consumers by age, gender, income, status, urban/rural from 2004 to 2008. Also provides market share, brand share and distribution share of the market for 2008 and 2009. Scope - The confectionery market consists of the sale of cereal bars, chocolate, gum and sugar confectionery. - Market overview & forecast – overall the Philippines confectionery market value and volume data split by category - Market shares –company share, brand share and distribution share for the confectionery market in the Philippines - Confectionery consumption and usage demographics –analysis of Consumer Demographics in the Philippines confectionery market Highlights - In the Philippines, 0-14 age group accounted for 35.5% share of the total confectionery consumption in 2008. - In the Philippines, urban consumers accounted for 67.9% of the total confectionery consumption in 2008. - In the Philippines, 0-14 age group accounted for 36.6% share of the total chocolate consumption in 2008. Reasons to purchase - Develop business strategies by understanding the quantitative trends within the confectionery market in the Philippines - Design effective marketing and sales strategies by identifying consumption and usage demographics...
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...Product & Gender Count of Product Gender Product Female TM195 TM498 TM798 Grand Total Product & Marital Status Count of Product Marital Status Product Partnered Single TM195 48 TM498 36 TM798 23 Grand Total 107 Male 40 29 7 76 40 31 33 104 Grand Total 80 60 40 180 32 24 17 73 Grand Total 80 60 40 180 CUSTOMER PROFILE FOR EACH PRODUCT Product TM195 Education 14 15 14 12 13 14 14 13 Age 18 19 19 19 20 20 21 21 Income 29562 31836 30699 32973 35247 32973 35247 32973 Miles 112 75 66 85 47 66 75 85 Summary Tables One-‐Way Summary Table Count Gender Gender Female Male Total TM195 Categorical Variables Marital Status Gender Single Male Single Male Partnered Female Single Male Partnered Male Partnered Female Partnered Female Single Male Total 40 40 80 Single Partnered Single Partnered Single Single Partnered Partnered Single Partnered Single Partnered Single Single Single Partnered Single Partnered Single Partnered Partnered Partnered Partnered Single Partnered Single Partnered Partnered Partnered Partnered Single Partnered Single Male Female Male Female Female Female Male Male Female Male Female Female Male Male Female Female Male Male Female Female Male Female Female Male Female Male Female Female Male Male Female Male Male 15 15 14 14 16 14 16 16 14 16 16 15 14 16 16 16 14 13 16 14 14 14 14 16 16 16 14 16 16 16 16 16 16 21 21 22 22 22 22 23 23 23...
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...Marital status and gender as predictors of undergraduate academic performance: a United Arab Emirates context Justin Thomas, Monique Raynor, Amal Al-Marzooqi Zayed University, UAE Introduction There is a considerable international body of literature exploring the predictors and determinants of undergraduate academic performance (Barrow et al., 2009; Betts & Morell, 1999; Cohn et al., 2004; Smith & Naylor, 2001). The predictor variables explored encompass a full biopsychosocial spectrum, from familial socio-economic status, to institutional class sizes. Two of the most immediately accessible factors for exploration are gender and marital status. While these proposed predictors of academic performance have been widely explored across many nations, relatively little work has been undertaken within the Gulf region (Harb & El-Shaarawi, 2007). It is likely that region-specific socio-cultural factors will affect how, and to what extent, gender and marital status influence academic performance. Given that many of the Gulf nations are presently attempting to develop knowledge based economies, such research may inform the development of undergraduate educational strategy and policy. The small body of research within the Gulf region focusing on gender and marital status is fairly unequivocal. Using either cumulative grade point averages (CGPA), or specific course grades as indicators of performance, virtually all of the published studies report females as outperforming males. Hedjazi and...
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...meet challenges. Stress is what keeps you on your toes during a presentation at work, sharpens your concentration when you’re attempting the game-winning free throw, or drives you to study for an exam when you'd rather be watching TV. But beyond a certain point, stress stops being helpful and starts causing major damage to your health, your mood, your productivity, your relationships, and your quality of life. Statement of the Problem This study is intended to determine the profile of the MAEM graduate students in Eastern Samar State University in relation to their stress level. Specifically, this study attempted to answer the following problems: 1. What is the profile of the students in terms of the following: a. Gender b. Age c. Status d. Income 2. What is the level of stress of the MAEM students? 3. What is the...
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...Demographic Variables : Personal statistics that include such information as income level, gender, educational level, location, ethnicity, race, and family size. For example, the marketing department of a business might use demographic variables as an important input when formulating target customer profiles. #Gender can be male and female Male-25% Female-75 %( If female participants are more it considered as good. Because, female are mostly related with household activities) Demographic Variables AGE | A2001 | B2001 | C2001 | Age of respondent (in years). | Age of respondent (in years). | Age of respondent (in years). | GENDER | A2002 | B2002 | | Gender of respondent. | Gender of respondent. | Gender of respondent. | EDUCATION | A2003 | B2003 | C2003 | Highest level of education of the respondent. | Education of the respondent. | Education of the respondent. | MARITAL STATUS | A2004 | B2004 | C2004 | Marital status of respondent. | Respondent's marital status. | Respondent's marital or civil union status. | UNION MEMBERSHIP | A2005 | B2005 | C2005 | Union membership of respondent. | Union membership of respondent. | Union membership of respondent. | UNION MEMBERSHIP OF OTHERS IN HOUSEHOLD | A2006 | B2006 | C2006 | Someone in household other than respondent is a member of a union. | Someone in household other than respondent is a member of a union. | Someone in household other than respondent is a member of a union. | BUSINESS...
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...HAVE YOU READ SECTION A? Gender and nutrition in emergencies Emergencies are often characterized by a high prevalence of acute malnutrition and micronutrient deficiency diseases, which in turn lead to increased risk of death among the affected population and in particular among vulnerable groups. Women, girls, boys and men face different risks in relation to a deterioration in their nutritional status in emergency contexts. These different vulnerabilities are related both to their differing nutritional requirements and to socio-cultural factors related to gender. Good nutrition programming must take due account of gender issues at all stages of the project cycle — from participatory assessment and analysis through to surveillance, implementation of interventions, monitoring and evaluation. How do gender issues affect nutritional status? * In crisis situations where food is in short supply, women and girls are more likely to reduce their food intake as a coping strategy in favour of other household members. This can contribute to under-nutrition among women and girls. Breastfeeding Challenges in Transition and Emergency Contexts Following the October 2005 earthquake in Kashmir, Pakistan, women frequently shared a shelter with distant male relatives and/or non-related men. The lack of privacy and support led many women to stop breastfeeding as they felt uncomfortable exposing their breasts in front of men. This emphasizes the urgent need for lactation corners in emergency...
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... then the data collection in normal other wise not So here in skewness=.165/.276=.5978 Kurtosis=-.814/.545=-1.49 In both condition the result between +1.92 to -1.92 so the data is normal In table 2 test for normality if sig. value <.05 then null hypothesis will be accepted and data is not normal distributed If sig. value >.05 then data is normally distributed other wise not . But here sig value 0 so data is not normally distributed Chart 1 : test for normality In the chart 1 histogram chart below epicts a bell shaped curve for so the data is normally distributed. Question 2 Table 1: mode for age group Statistics | Age of Respondent | N | Valid | 76 | | Missing | 0 | Mode | 2 | | | In table 1 mode is 2 it mean age group 20-30 are more frequently compare with other age group Table 2: Frequencies for age Age of Respondent | | | Frequency | Percent | Valid Percent |...
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...verify if a relationship existed between the general knowledge of initial first-aid treatment for burns and age, gender, education, ethnicity and socioeconomic status. The Statistical Procedures Mentioned in the Study Pearson’s chi-squared test was used to determine if there was any correlation between genders, education level, age and first-aid knowledge. The use of logistic regression was employed so that all variables could be compared. There was found to be insufficient data collected to evaluate any relationship based on ethnicity. The Conclusions Reached in the Study It was concluded that people of lower socioeconomic status were less likely to have knowledge of initial first-aid treatment for burns. They were also less likely to have had any first-aid training. Persons of a higher socioeconomic status were more likely to have received first-aid education, which 40% of those stated they had received their first-aid training through their workplace. The study did not show any statistical significance for gender or age in the basic knowledge of first-aid for burns, but did show that prior first-aid training reflected better knowledge of initial care for burns. Despite the limitation of a small sample group that was obtained from a single hospital setting, there appears to be a lack of knowledge in primary first-aid burn care, especially those of lower socioeconomic status. Davies, Maguire, Okolie, Watkins & Kemp state, “Results suggest that targeting burns first-aid training...
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...Criminology students in the Evening Sessions. Table 1. Shows the Population and Sampling Scheme Table 1 Population and Sampling Scheme by Section Section | Total Enrollees | Number of Respondents | Percentage | 1-C1 | 38 | 18 | 47% | 1-C2 | 35 | 27 | 77% | 1-C3 | 38 | 27 | 71% | 1-C5 | 27 | 9 | 33% | Total | 138 | 81 | 58% | As shown in the table, there are 18 or 47 percent from 1-C1; 27 or 77 percent in 1-C2; 27 or 71 percent in 1-C3; and 9 or 33 percent for 1-C5. As a Whole, there are 138 or 58 percent out of 81 respondents respectively. Description of the Respondents The respondents involved in this study described as to gender, civil status and age group. Table 2 presents the percentage distribution of the respondents by gender, civil...
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...Table 9 Table 9 describes the relationship between Number of Times having eaten at Bernie’s by How often eaten out. | Eating out frequency | Number times eaten at Bernie's | Less than once a month | 1-3 times a month | once a week | 2-3 times a week | more than 3 times a week | Once | 58.5 | 35.2 | 39.6 | 11.7 | 11.8 | 2-5 | 31.4 | 25.3 | 23.2 | 9.8 | 23.7 | 6-10 | 10.1 | 21.8 | 17.2 | 35.4 | 17.8 | 11-15 | 0 | 17.1 | 16.4 | 33.5 | 23.6 | More | 0 | 0.6 | 3.6 | 9.6 | 23.1 | * This can be further elaborated by addition of ‘Gender’ as controlling variable * Insights: * This elaboration will help us know whether males who have a higher frequency of eating out have eaten more at Bernie’s or whether the females who have a higher frequency of eating out have eaten more at Bernie’s * More Controlling Variables that can be used are: * Age (Over 25 and Under 25), Marital Status Table 10 The current table shows the relationship between university meal contract by number of times eaten at Bernie's Table 10 This can be further elaborated by ‘Type of course’ as the controlling variable Controlling variable:- Type of course: Full time/Part time Insights: * This variable will help us in understanding whether people with Full Time courses or part time courses have a meal contract and how does that...
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...performance (student’s grades/marks) as a dependent variable and the gender, age, faculty of study, schooling, father/guardian social economic status, and residential area, medium of schooling; tuition trend, daily study hours and accommodation trend were independent variables. The data were collected from 100 students through separate structured questionnaire from different departments of Islamia University of Bahawalpur, Rahim Yar Khan Campus using the simple random sampling technique. For analysis, linear regression model, correlation analysis, and descriptive analysis were used. The findings revealed that age, father/guardian social economic status and daily study hours significantly contribute the academic performance of graduate students. A linear model was also proposed that will be helpful to improve the academic performance of graduate students at University level. 1. Introduction Students academic gain and learning performance is affected by numerous factor including gender, age, teaching faculty, students schooling, father/guardian social economic status, residential area of students, medium of instructions in schools, tuition trend, daily study hour and accommodation as hostelries or day scholar. Many researchers conducted detailed studies about the factors contributing student performance at different study levels. Graetz (1995) suggested “A student educational success contingent heavily on social status of student’s parents/ guardians in the society. Considine and...
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...Chapter 1 THE PROBLEM AND ITS SCOPE Introduction Nightlife or after-school jam is the collective term for any amusement that is available and more popular from the late evening to the early morning. Nightlife includes the public houses, night clubs, discotheques, bars, live music, concert, shows and sometimes restaurant that has cover charge for admission, and make their money on alcoholic beverages. Nightlife was supposed to be oriented for adults, but nowadays, teenagers preferably high school students are also engaged in this kind of verve. The effects of after- school jams of students has not been well examined. There has been no previous study that focuses on the effect of after- school jams in the academic performances of students. The tracking of academic performance fulfils a number of purposes. Areas of achievement and failure in a student's academic career need to be evaluated in order to foster improvement and make full use of the learning process. On this premise, this study was conducted. It was designed primarily to provide a view of the level of academic performance of students and its relationship with their preferred after- school jam. The researchers believed that preferred after- school jams of the students influence their academic performance. Thus, the determining of academic performance and frequency of their after- school jams is indeed imperative. Hopefully, the result of this study will serve as a basis for the correlation of after- school jams...
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...How would you define diversity? Open-ended responses from student-conducted survey, 28 April 2010 A wide range of interests, backgrounds, experiences. Differences among groups of people and individuals based on ethnicity, race, socioeconomic status, gender, exceptionalities, language, religion, sexual orientation, and geographical area. Diversity of experiences, viewpoints, backgrounds, and life experiences. Tolerance of thought, ideas, people with differing viewpoints, backgrounds, and life experiences. Diversity can be measured across many variables -- age, race, sex, economics, geography, religion, philosophy, etc. variation in race, gender, sexual orientation, religion, political leanings, professional and personal background Diversity in graduate school includes a group of people from different backgrounds (this can be many things not just racial). People with different skills and career interests and hobbies. People with different political points of view. Anything that sets one individual apart from another. However, often it is used to specifically reference gender, race, ethnicity, and more recently sexual orientation differences. Diversity is differences in racial and ethnic, socioeconomic, geographic, and academic/professional backgrounds. People with different opinions, backgrounds (degrees and social experience), religious beliefs, political beliefs, sexual orientations, heritage, and life experience. dissimilar My definition of diversity would include openness...
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...Influence of gender, race and socioeconomic differences on depression Introduction According to Link and Phelan (1995), socioeconomic resources are a major determinant of differences in wellbeing of people. This paper draws heavily on the work of Roxburgh (2009) to extend on the fundamental cause perspective by expanding of the definition of resources, examining how race and gender influence the differences in relations between resources and mental health and modeling the relation between social status, gender and race while taking into account any differences in effect of resources across race and gender. While Roxburgh (2009) used a 2003 National Health Interview Survey (NHIS) dataset, this study used the 2011 NHIS dataset. According to fundamental cause perspective, socioeconomic resources (education, income and wealth) enables one to access resources which leads to better health outcomes through its influences on attitudes and behavior. According to role theory, the relation between role occupancy and health stems from access to resources, for example, social support which is derived from occupying socially value roles (Simon, 1995). For example, the primary social roles of marriage and employment confer one psychosocial support, social support and economic resources which lead to differences in welfare of individuals. For the case of employment, economic benefit in terms of income and co-worker social support plus the structured working routines encourage healthy...
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