![]() Below are some examples to understand the concept explained above: Type 1 – Calculate the Present Age Questions on ages in a competitive exam are classified into four categories. Calculate the variable by solving the equations and the obtained value must satisfy the conditions given in the problem.Īlso Read: Maths for Competitive Exams Sample Problems on Ages.Convert the statements in the question into mathematical equations.After reading the problems on ages, assume the unknown age to be some variable, let say ‘X’.Age of Y = Ratio of Y/ Sum of ratios x sum of ages.If the sum of ages is X and Y and the ratio of their ages is p:q respectively, then you can determine the age of Y by using the formula shown below:.If ages in the numerical are mentioned in the ratio A:B, then A:B will be AX and BX.If the present age of a person be X, then.To make this easier for you, let’s take a look at some of the basic mathematical concepts and tricks related to problems on ages: So, here’s an insightful blog to provide you with the tips to easily crack such types of questions in a competitive exam.Īlso Read: Tips to Crack Competitive ExamsĪs aptitude questions on ages are frequently asked in almost every competitive exam, be it the GMAT, GRE, SAT, CAT, etc., applicants should definitely know how to solve these within minimum time. Few of the prominent questions are asked to solving problems on ages. Ever thought about how to ace this particular section? It’s quite easy if you have an idea about the different topics covered in this section. If we take a look at any competitive exam, we always find that there is one ‘ quantitative and logical aptitude’ section testing your logical ability to solve mathematical problems. If you are sincerely working to achieve your goal, all these are just mere obstacles that should barely affect you. However, you should not let your efforts go in vain. When it comes to gearing up for these exams, there is a common possibility that sometimes your preparation might not match the level of your performance. Be it for pursuing higher education abroad or to grab a government position in India, competitive exams are the entry gates to move further in your career. The analysis presented in this paper has identified relevant BD research studies that have contributed both conceptually and empirically to the expansion and accrual of intellectual wealth to the BDA in technology and organizational resource management discipline.Every year thousands of students appear for competitive exams. Thus, to trace the implementation of BD strategies, a profiling method is employed to analyze articles (published in English-speaking peer-reviewed journals between 19) extracted from the Scopus database. This systematic literature review (SLR) is carried out through observing and understanding the past trends and extant patterns/themes in the BDA research area, evaluating contributions, summarizing knowledge, thereby identifying limitations, implications and potential further research avenues to support the academic community in exploring research themes/patterns. More specifically, the authors seek to answer the following two principal questions: Q1 – What are the different types of BD challenges theorized/proposed/confronted by organizations? and Q2 – What are the different types of BDA methods theorized/proposed/employed to overcome BD challenges?. In doing so, systematically analysing and synthesizing the extant research published on BD and BDA area. ![]() Given the significant nature of the BD and BDA, this paper presents a state-of-the-art review that presents a holistic view of the BD challenges and BDA methods theorized/proposed/employed by organizations to help others understand this landscape with the objective of making robust investment decisions. Therefore, prior to hasty use and buying costly BD tools, there is a need for organizations to first understand the BDA landscape. However, there are different types of analytic applications to consider. ![]() The analytics process, including the deployment and use of BDA tools, is seen by organizations as a tool to improve operational efficiency though it has strategic potential, drive new revenue streams and gain competitive advantages over business rivals. Big Data Analytics (BDA) is increasingly becoming a trending practice that many organizations are adopting with the purpose of constructing valuable information from BD. Big Data (BD), with their potential to ascertain valued insights for enhanced decision-making process, have recently attracted substantial interest from both academics and practitioners.
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