Hello Pooja,

"Quantitative Aptitude for Competitive Examinations" by R. S. Aggarwal is a well-known book for preparing quantitative aptitude topics for various competitive exams, including bank exams, SSC, CAT, and other government exams. The book is widely appreciated for its comprehensive coverage and clear explanations.

Features of the Book:

1. Topics Covered:

   • Arithmetic (Percentage, Profit and Loss, Ratio & Proportion, etc.)

   • Algebra

   • Geometry

   • Trigonometry

   • Time, Speed, and Distance

   • Data Interpretation

   • Permutation & Combination

   • Probability

   • Mensuration
     
     

2. Fully Solved Examples: Each chapter is followed by a variety of solved examples to help understand the concept and its applications.
   
   

3. Practice Questions: The book contains a vast collection of questions at the end of each chapter, which are designed for practice. Questions are divided into different levels of difficulty.
   
   

4. Approach and Methods: R. S. Aggarwal provides multiple methods to solve each problem, helping students adopt the approach that suits them best.
   
   

5. Special Focus on Shortcuts: A major advantage of the book is its emphasis on time-saving tricks and shortcuts, which can be useful in competitive exams.
   
   

6. Perfect for Self-Study: The clear and simple explanations make it an excellent choice for self-study, especially for students preparing for competitive exams.
   
   Where to Buy:

• You can find the book on online platforms like Amazon, Flipkart, or at local bookstores.

This book is highly recommended for students aiming to strengthen their quantitative aptitude for various exams.

I hope this answer helps you. If you have more queries, feel free to share your questions with us, and we will be happy to assist you.

Thank you, and I wish you all the best in your bright future.

Choosing between the MFM (Master of Fashion Management) and MDes (Master of Design) entrance exams can indeed be tricky when they have different marking schemes. Here are some points that might help you decide which exam to focus on:

1. Quantitative Ability :

• MFM : 10 questions.
• MDes : 20 questions.

Tip : If you're more comfortable with numbers and quantitative analysis, MDes might be more favorable due to the higher number of questions (although it could also mean more time and effort). MFM, with fewer questions, could allow for a quicker pace if you're well-prepared in quantitative subjects.

2. English :

• MFM : 50 questions.
• MDes : 25 questions.

Tip : MFM has a heavier emphasis on English with 50 questions. If you're good with language skills, MFM could be a better choice, but it might also require more time and focus on the English section. MDes might be easier if English is a weaker area, as it has fewer questions.

3. Personal Strengths :

• For MFM : If you are more inclined towards management, business, and communication aspects with a focus on fashion, MFM would be more suitable.
• For MDes : If you have a stronger design aptitude and creativity, MDes would be a better choice.

4. Time Management :

• Since MFM has more questions in English but fewer in Quantitative Ability, you might spend more time on English. MDes requires attention to both Quantitative Ability and English, but in relatively balanced proportions. Consider how well you manage time during exams.

5. Preparation Focus :

• MFM will require strong English and moderate quantitative skills.
• MDes will require both strong English and design-related aptitude, in addition to good quantitative ability.

Suggestion:

If you are stronger in English , go for MFM since it allows you to focus more on language skills. However, if you have a good grasp of both Quantitative Ability and English and are inclined towards design , MDes might be more suitable due to the balance in marks distribution.

Ultimately, base your decision on which subject area excites you the most and where you feel more confident.

well, if you want to excel in quantitative trading or research also you will have to have a strong foundation in mathematics and Statistics like probability theory stochastic processes time series analysis and statistical modelling. you need to also have Good programming knowledge in Python java C++ and also are need to have good financial knowledge.Like about financial market financial modelling or risk management. You need to also additional skills life data analysis and visualisation. You can have knowledge about machine learning and high performance computing. also communication skills are very important. Hft interviews in the technical interviews, you need to prepare for the data structure and algo questions about some statistical  and mathematical concept and machine learning. They are very important and for the HR or the behaviour interviews, you need to highlight your teamwork skills your passion for finance and also problem solving skills.by focusing and preparing thoroughly you can increase your chances of passing the interview.

While if you are my IIT it can give you some advantages, but it is not necessary. If you want to have success in the HFT industry FOLLOW these strategies to pursue career in hft. develop strong foundation in mathematics and Statistics like statistic modelling. master programming language Like C++ Python on Java gain knowledge of machine learning and artificial intelligence, you should seek internship at HfT forms of Financial Institutions. you can work on personal projects by yourself.Even also complete some online courses are certification. You should attend some industry events like conferences workshops, etc. Join online groups and communities to discuss ideas. You need to build a strong portfolio to do that participate and competition and write a strong resume. You can also consider alternative career parts like data scientist or quantitative analyst.

Correct Answer: Setting performance standard
 

Solution : Standard performance standards is being highlighted here. It involves both quantitative and qualitative standards.
Hence Option A is correct.

Correct Answer: Provide quantitative and qualitative information about psychological attributes

Solution : Correct Option: Option 2
Explanation: Psychological assessments provide both quantitative (numerical) and qualitative (descriptive) information about various psychological attributes, such as personality, intelligence, and emotional functioning.

Correct Answer: Both A and B 

Solution : The law of demand is not a quantitative law; rather, it is a qualitative one. This is due to the fact that it does not explicitly state how closely the amount demanded and the price relate to one another. As a result, we might say that the law of demand is a qualitative assertion.

Correct Answer: They offer personal and emotional perspectives

Solution : Correct Option: 2
Explanation: Oral testimonies play a crucial role in the historiography of the partition of India by offering personal and emotional perspectives. These testimonies provide insights into the individual experiences and human dimensions of the partition, which are not captured in official records or statistical data.

Correct Answer: Incomplete coverage of social aspects
 

Solution : A limitation of official records in studying rural history is their incomplete coverage of social aspects, as these records often focus more on economic and administrative details, leaving gaps in understanding the social fabric of rural communities.

Hello ankur

Quantitative data refers to any information that can be quantified, counted or measured, and given a numerical value.  Quantitative research is based on numeric data.  Example like

• My best friend is 5 feet and 7 inches tall
• They have size 6 feet
• They weigh 63 kilograms
• My best friend has one older sibling and two younger siblings
• They have two cats
• My best friend lives twenty miles away from me
• They go swimming four times a week

You might have considered in above all mentioned example they are talking about some numbers or measurements which indicates quantity.

Qualitative data is descriptive, referring to things that can be observed but not measured—such as colors or emotions. Qualitative research focuses on the qualities of users—the 'why' behind the numbers. Example as

• My best friend has curly brown hair
• They have green eyes
• My best friend is funny, loud, and a good listener
• They can also be quite impatient and impulsive at times
• My best friend drives a red car
• They have a very friendly face and a contagious laugh

Here in every sentence they are indications of quality of that person so this are qualitative data.

Hope i was able to clear your doubt

All the best