About Sci-Edge Abstracts
Company Description
Sci-Edge Abstracts is a leading organization dedicated to providing high-quality abstracting and indexing services for academic and professional publications. With a focus on innovation and precision, Sci-Edge Abstracts aims to enhance the visibility of research works and contribute to the advancement of knowledge across various fields. The company prides itself on its collaborative work culture, where teamwork and open communication are valued. Employees are encouraged to think creatively and contribute their unique perspectives, fostering an environment of continuous learning and professional growth. With a commitment to excellence, Sci-Edge Abstracts also emphasizes the importance of work-life balance, ensuring that its team members thrive both personally and professionally.
Research Analyst Interview Questions
Q1: Can you describe your experience with academic research?
I have conducted research for various academic projects, including literature reviews and data analysis. My experience includes working with databases like PubMed and Scopus to gather relevant information and synthesize findings into comprehensive reports.
Q2: What methodologies do you prefer for data analysis?
I typically use both qualitative and quantitative methodologies, depending on the nature of the research. I find that combining statistical analysis with qualitative insights provides a well-rounded understanding of the data.
Q3: How do you handle tight deadlines in your research projects?
I prioritize tasks based on urgency and importance, breaking down larger projects into manageable parts. I also maintain open communication with my team to ensure we are aligned on deadlines and can support each other effectively.
Q4: Can you provide an example of a challenging research project you completed?
In a previous role, I worked on a project with limited data availability. I utilized alternative data sources and collaborated with experts to fill gaps, ultimately delivering insightful findings that informed the client’s strategic decisions.
Q5: How do you ensure the accuracy and credibility of your research?
I adhere to strict guidelines for sourcing information, cross-referencing data with reputable publications, and utilizing peer-reviewed articles whenever possible. I also seek feedback from colleagues to validate findings.
Content Editor Interview Questions
Q1: What is your editing process for academic articles?
My editing process involves several stages, starting with a thorough read-through to understand the content. I then check for clarity, coherence, grammar, and adherence to style guidelines before performing a final quality check.
Q2: How do you handle feedback from authors?
I view feedback as an opportunity for improvement. I listen carefully to the authors’ perspectives, address their concerns respectfully, and work collaboratively to ensure the final product meets both their expectations and our standards.
Q3: Can you share your experience with different citation styles?
I am familiar with various citation styles such as APA, MLA, and Chicago. I have worked on manuscripts that required adherence to specific guidelines and can easily adapt to different formats as needed.
Q4: How do you keep up with trends in academic publishing?
I regularly read industry publications, participate in webinars, and engage with professional networks to stay informed about the latest trends and best practices in academic publishing and editing.
Q5: What strategies do you use to maintain consistency across multiple documents?
I develop a style guide tailored to the project and refer to it throughout the editing process. I also use tools for tracking changes and ensuring that formatting remains uniform across all documents.
Project Manager Interview Questions
Q1: How do you prioritize tasks in a project with multiple deadlines?
I use project management tools to create a task list and set priorities based on deadlines and project goals. I regularly reassess priorities with the team to ensure alignment and adjust as needed.
Q2: Can you describe your experience with managing cross-functional teams?
I have successfully led cross-functional teams by fostering open communication and collaboration. I ensure that each team member understands their role and the project objectives, which helps in achieving our common goals efficiently.
Q3: How do you manage project risks?
I conduct a thorough risk assessment at the project's outset and develop contingency plans. Throughout the project, I continuously monitor risks and adapt our strategies as necessary to mitigate any issues that arise.
Q4: What tools do you prefer for project management?
I am proficient in using tools such as Asana, Trello, and Microsoft Project. These tools help me track progress, assign tasks, and maintain visibility across the team.
Q5: Can you give an example of a project that did not go as planned and how you handled it?
In a previous project, we faced unexpected delays due to resource availability. I organized a team meeting to brainstorm solutions, redistributed tasks, and adjusted our timeline, which ultimately allowed us to meet our revised deadlines without compromising quality.
Data Analyst Interview Questions
Q1: What data analysis tools are you proficient in?
I am proficient in tools such as Excel, SQL, and Python for data manipulation and analysis. I also have experience with data visualization tools like Tableau for presenting findings.
Q2: Describe a time when you identified a significant trend in your analysis.
In a previous role, I analyzed sales data and identified a seasonal trend that informed our marketing strategy. By presenting this insight, we adjusted our campaigns and saw a significant increase in sales during peak periods.
Q3: How do you ensure data integrity in your analysis?
I follow strict protocols for data collection and processing, including validation checks and cross-referencing against trusted sources to maintain data integrity throughout the analysis process.
Q4: Can you explain your experience with statistical analysis?
I have utilized various statistical methods, including regression analysis and hypothesis testing, to draw actionable insights from data. I am comfortable interpreting results and translating them into business recommendations.
Q5: How do you approach a new data analysis project?
I begin by clearly defining the project objectives and understanding the data sources available. I then develop a structured plan for data collection, analysis, and presentation, ensuring alignment with stakeholder expectations throughout the process.
Company Background and Industry Position
Sci-Edge Abstracts has carved a distinctive niche in the scientific research and analytics landscape, specializing in providing cutting-edge scientific abstracting and indexing services primarily for academic institutions and industry research labs. While not a household name like some tech giants, Sci-Edge has steadily gained respect within niche scholarly circles for its precision, innovative use of AI in data curation, and commitment to enhancing research visibility.
The company operates at the crossroads of academia, technology, and information science, a sector growing fast due to the explosion of published scientific research worldwide. Sci-Edge’s commitment to deploying advanced algorithms to capture and abstract scientific output has made it an essential partner for universities, research consortia, and biotech firms seeking to stay ahead of knowledge trends.
Understanding this context helps explain the company’s hiring focus: they seek candidates who are not only technically skilled but also possess a strong grasp of scientific processes and terminology, bridging the worlds of data science and life sciences. This duality sets Sci-Edge Abstracts apart as a somewhat rare employer within this intersectional industry.
How the Hiring Process Works
- Application Screening: The journey begins with a careful screening of your resume and cover letter, emphasizing not just technical skills but domain knowledge and research experience. Sci-Edge leans heavily on ATS (Applicant Tracking Systems) tailored to spot scientific keywords and relevant project histories.
- Initial Recruiter Call: Candidates passing the screening receive a brief phone call with a recruiter. This step isn’t just a formality. It’s designed to assess general communication skills, clarify role fit, and gauge enthusiasm for Sci-Edge’s mission.
- Technical Assessment: Depending on the role, this can range from coding challenges for data engineers to case study evaluations for scientific analysts. The goal here is to test applied knowledge—candidates often find these assessments more practical than theoretical.
- Panel Interview(s): Typically involving both technical and HR personnel, these rounds dive deep into problem-solving abilities, domain understanding, and cultural fit. The panel structure allows multiple perspectives on candidates, balancing technical acumen with interpersonal skills.
- Final HR Interview: This stage focuses on alignment with company values, salary discussions, and career aspirations. Candidates often note an open dialogue here, where transparency is encouraged.
- Offer and Onboarding: Once selected, candidates receive a formal offer detailing compensation, benefits, and onboarding schedules, followed by a structured welcome process.
Unlike some companies that rush or elongate hiring, Sci-Edge aims for a balanced timeline—typically four to six weeks—reflecting their respect for candidate time and their own internal coordination complexities.
Interview Stages Explained
Application Screening: More Than Just Keywords
What stands out at Sci-Edge is their nuanced approach to application screening. Beyond keywords, recruiters evaluate whether applicants demonstrate a genuine connection to scientific research landscapes. For example, merely listing Python isn’t enough; candidates describing projects analyzing genomic datasets capture attention. This stage weeds out generic applications and elevates those with real domain insight.
Recruiter Phone Interview: Setting the Tone
Here, it’s not about grilling but understanding. Recruiters look for clarity—can you explain your background succinctly? Are you genuinely interested in Sci-Edge’s mission? Candidates often feel this as a friendly conversation but should prepare to answer questions on why they’re drawn to scientific abstracting and indexing.
Technical Assessment: Demonstrating Applied Expertise
This is where many stumble, and understandably so. Sci-Edge’s assessments mimic real-world problems—whether it’s parsing complex datasets or drafting concise abstracts that capture essential scientific information. The assessments test not theoretical knowledge but practical execution and clarity of thought.
Panel Interviews: Diverse Lenses on Fit
The dual nature of the interviews—with technical team members and HR personnel—reflects Sci-Edge’s commitment to balanced hiring. Technical panels drill into problem-solving and domain expertise. HR rounds explore soft skills, teamwork, and adaptability. Candidates often find this mix challenging but fair, as it mirrors everyday interactions at the company.
Final HR Interview: Mutual Understanding
The closing conversation is often less formal, more of a mutual exploration—does Sci-Edge meet your career expectations, and are your values aligned? Salary expectations, growth opportunities, and work-life balance are commonly discussed. Transparency is key here, setting the stage for honest employer-employee relations.
Examples of Questions Candidates Report
- Technical Interview: “Describe the process you would use to extract and summarize key findings from a large volume of heterogeneous scientific papers.”
- Behavioral: “Tell us about a time when you had to learn a new scientific domain quickly to complete a project.”
- Scenario-Based: “If you encounter contradictory data in two abstracts on the same topic, how would you handle it?”
- HR Round: “How do you prioritize competing deadlines in a research-focused environment?”
- Domain Knowledge: “Explain why metadata consistency is crucial in scientific indexing.”
These questions reflect Sci-Edge’s desire to assess not only skills but also critical thinking and cultural fit.
Eligibility Expectations
Many candidates are surprised to find Sci-Edge’s eligibility criteria less rigid than expected, especially given the company’s scientific focus. While advanced degrees can be an advantage, experience and demonstrable skills often outweigh formal education. For example, a candidate with a bachelor’s in data science combined with hands-on experience in scientific datasets can be highly competitive.
Additionally, familiarity with research publication processes, indexing standards, or specific scientific domains (life sciences, physical sciences, or engineering) is strongly preferred. This isn’t just a “nice-to-have”—it influences your smooth integration into teams and projects.
One practical tip: candidates lacking direct domain experience but strong in data analytics may find success if they demonstrate eagerness to learn and adaptability.
Common Job Roles and Departments
Sci-Edge's hiring spans a variety of specialized roles, each carrying unique expectations and interview focuses. Here’s a snapshot:
- Scientific Data Analyst: Responsible for compiling, validating, and analyzing scientific abstracts and datasets. Interviews focus on analytical skills, domain understanding, and data handling proficiency.
- Software Engineer (Data Platforms): Building and maintaining the back-end infrastructure supporting indexing and search tools. Expect coding challenges and system design discussions.
- Research Specialist: Often holding advanced degrees, tasked with ensuring scientific accuracy and quality in abstracting. Interviews test both scientific knowledge and attention to detail.
- Product Manager: Bridging technical teams with user needs, focusing on product strategy. Discussions revolve around market understanding, stakeholder communication, and project management.
- Quality Assurance Analyst: Focus on ensuring data integrity and software reliability. Candidates should expect scenario-based questions involving error detection and resolution.
Compensation and Salary Perspective
| Role | Estimated Salary |
|---|---|
| Scientific Data Analyst | $70,000 – $90,000 |
| Software Engineer (Data Platforms) | $95,000 – $130,000 |
| Research Specialist | $80,000 – $110,000 |
| Product Manager | $110,000 – $150,000 |
| Quality Assurance Analyst | $65,000 – $85,000 |
These ranges reflect data gathered from multiple sources including employee reports and industry salary surveys. Sci-Edge tends to offer competitive packages that align fairly with mid-sized tech and research services companies, though candidates with niche expertise or seniority can negotiate above the top of these bands.
Interview Difficulty Analysis
Based on candidate feedback and observed hiring patterns, Sci-Edge’s interview difficulty strikes a moderate balance. It’s neither a cakewalk nor an insurmountable gauntlet. The technical assessments demand applied skills, not just textbook knowledge, which can trip up applicants who rely on rote memorization.
One recurring theme candidates mention is the challenge of articulating complex scientific topics in simple terms—a reflection of the company’s focus on communication skills alongside technical expertise.
Compared to giants like Google or IBM, Sci-Edge’s process feels more specialized and targeted, which can work in a candidate’s favor if well-prepared. You’re less likely to encounter obscure puzzles but more likely to face domain-specific problem solving.
Preparation Strategy That Works
- Research the Company Deeply: Understand Sci-Edge’s products, clientele, and scientific domains served. This knowledge helps you tailor answers and show genuine interest.
- Sharpen Domain-Specific Knowledge: Brush up on scientific research methodologies, indexing standards, and metadata management.
- Practice Communication Skills: The ability to distill complex scientific ideas into clear summaries is key. Try explaining complicated concepts aloud to a non-expert.
- Work on Relevant Technical Skills: Depending on your role, focus on coding languages, data analysis tools, or scientific databases commonly used in the industry.
- Mock Interviews: Engage in panel-style mock interviews with peers or mentors, simulating real interview conditions to build confidence.
- Prepare Thoughtful Questions: Demonstrating curiosity about Sci-Edge’s future, team dynamics, and projects can leave a strong impression.
Work Environment and Culture Insights
From insider accounts, Sci-Edge cultivates a collaborative and intellectually stimulating environment. Employees describe a culture that values curiosity, precision, and mutual respect. The cross-pollination between tech and science teams often leads to rich discussions and continuous learning.
However, the work can be detail-intensive and deadline-driven, which may not suit everyone. Candidates should anticipate a culture that rewards perseverance and adaptability rather than fast-paced high-pressure sales tactics.
Remote work options vary by department, but there’s a visible trend towards flexible arrangements post-pandemic, reflecting a modern approach to work-life balance.
Career Growth and Learning Opportunities
Sci-Edge is not just hiring for now; it invests in employees’ futures. The company offers regular training sessions, access to scientific journals, and encourages attendance at domain conferences. For technical roles, there is scope to explore emerging AI and machine learning applications relevant to scientific data.
Promotion tends to be merit-based but also influenced by one’s ability to cross-functionally collaborate and innovate within teams. Career paths might lead to leadership roles, specialized research positions, or product ownership, depending on interests and performance.
Many employees remark that growth here feels organic—a blend of personal initiative and company support.
Real Candidate Experience Patterns
One common narrative among applicants is the emphasis on authenticity. Interviewers appreciate when candidates candidly discuss challenges and learning curves rather than rehearsed perfection. There’s a genuine attempt to connect with candidates on both professional and personal levels.
Some candidates note that the technical assessments, while fair, require time management skills and familiarity with practical scenarios rather than textbook knowledge. Another recurrent theme is the importance of demonstrating domain enthusiasm—those who can share personal stories of scientific curiosity tend to leave a stronger impression.
On the flip side, a few candidates have mentioned waiting periods between rounds that sometimes test patience, though communication is generally transparent.
Comparison With Other Employers
Compared to large tech corporations and pure IT firms, Sci-Edge Abstracts stands out for its niche domain focus. For candidates passionate about science and technology intersection, it offers a more intellectually specialized environment.
| Aspect | Sci-Edge Abstracts | Generic IT Firm | Large Tech Giant |
|---|---|---|---|
| Domain Specialization | High (scientific research focus) | Low to moderate | Variable, often broad |
| Interview Difficulty | Moderate, domain-specific | High technical complexity | High, often puzzles and algorithms |
| Company Culture | Collaborative, research-driven | Performance-driven, project-based | Competitive, innovation-focused |
| Salary Competitiveness | Competitive for niche roles | Varies widely | Generally higher |
| Growth Opportunities | Strong for specialized paths | Broad lateral moves | High, but competitive |
In short, Sci-Edge offers a unique blend not easily found elsewhere—technology fused with rigorous scientific understanding.
Expert Advice for Applicants
Don’t just memorize answers—immerse yourself in the scientific themes Sci-Edge deals with. They want curious problem-solvers, not just coders or analysts. Read recent scientific articles, familiarize yourself with abstracting challenges, and be ready to discuss your role in projects involving complex data.
Practice communicating your thoughts clearly. The ability to explain technical concepts simply is a prized skill—think of it as translating a foreign language into everyday speech.
Pay attention to cultural fit too. Show openness, adaptability, and a collaborative spirit. Sci-Edge values people who can thrive in a team balancing scientific rigor with technological innovation.
Lastly, prepare questions. Interviewers appreciate candidates who engage actively and show genuine curiosity about the company’s future and their potential role in it.
Frequently Asked Questions
What types of interview questions should I expect at Sci-Edge Abstracts?
Expect a blend of technical questions assessing your data analysis or coding skills, domain-specific inquiries about scientific research and abstracting, and behavioral questions exploring your communication and teamwork abilities.
How many recruitment rounds are typical for Sci-Edge roles?
The selection process usually includes an initial recruiter call, a technical assessment, one or more panel interviews, and a final HR interview, totaling around 4 to 5 rounds.
Is prior scientific research experience mandatory?
Not strictly, but familiarity with scientific research processes, terminology, or domain-specific datasets significantly improves your candidacy. Candidates with transferable skills but strong learning agility are also considered.
What is the average salary range for entry-level positions?
Entry-level roles such as Scientific Data Analysts typically offer between $70,000 and $90,000, varying with location and individual experience.
Does Sci-Edge offer remote or flexible work options?
Yes, especially post-pandemic, there is a growing trend toward flexible and hybrid working models, though this can vary by department and role.
Final Perspective
Walking the hiring path with Sci-Edge Abstracts is a journey into a unique professional ecosystem where science meets technology in a meaningful way. It’s not just about what you know technically; it’s about how you think, communicate, and embody curiosity. The hiring process reflects this balance—challenging yet fair, structured yet human.
For candidates passionate about science, adept at bridging complex ideas to actionable insights, and eager to grow in a collaborative setting, Sci-Edge offers an enriching career path. The pay is respectable, the culture supportive, and the work intellectually rewarding. Just be ready to dive deep, stay curious, and show your genuine self.
Sci-Edge Abstracts Interview Questions and Answers
Updated 21 Feb 2026Software Engineer Interview Experience
Candidate: Ava P.
Experience Level: Mid-level
Applied Via: Company career portal
Difficulty: Hard
Final Result: Rejected
Interview Process
3
Questions Asked
- Explain your experience with Python and data processing.
- How do you optimize code for performance?
- Describe a challenging bug you fixed.
Advice
Practice coding challenges and be ready to discuss your problem-solving approach in detail.
Full Experience
The interview process included a coding test, a technical interview, and a cultural fit interview. The coding test was timed and required efficient solutions. Although I was not selected, the experience helped me identify areas to improve.
Laboratory Technician Interview Experience
Candidate: Liam K.
Experience Level: Mid-level
Applied Via: Job fair
Difficulty:
Final Result:
Interview Process
2
Questions Asked
- What safety protocols do you follow in the lab?
- Describe your experience with lab equipment maintenance.
Advice
Highlight your attention to detail and adherence to safety standards.
Full Experience
I met a recruiter at a job fair and was invited for an interview shortly after. The interview was practical and focused on my technical skills and safety knowledge. The company values hands-on experience highly.
Project Manager Interview Experience
Candidate: Sophia L.
Experience Level: Senior
Applied Via: LinkedIn job post
Difficulty: Hard
Final Result:
Interview Process
4
Questions Asked
- How do you manage cross-functional teams?
- Describe a challenging project and how you overcame obstacles.
- What project management tools do you use?
- How do you handle budget constraints?
Advice
Demonstrate leadership and communication skills clearly, and provide concrete examples of managing complex projects.
Full Experience
The process was intense with multiple rounds including a case study presentation. The interviewers were keen on understanding my leadership style and how I handle pressure. The case study was challenging but I prepared extensively and it paid off.
Data Analyst Interview Experience
Candidate: Jason M.
Experience Level: Entry-level
Applied Via: Referral
Difficulty: Easy
Final Result: Rejected
Interview Process
2
Questions Asked
- What statistical tools are you proficient in?
- Describe a time you identified a data trend that impacted a project.
Advice
Gain more hands-on experience with advanced statistical software and prepare examples of impactful data analysis.
Full Experience
I was referred by a current employee and had two interviews: a phone interview and an in-person technical interview. The questions were straightforward but I felt I lacked depth in some technical areas, which might have influenced the outcome.
Research Scientist Interview Experience
Candidate: Emily R.
Experience Level: Mid-level
Applied Via: Online application via company website
Difficulty:
Final Result:
Interview Process
3
Questions Asked
- Describe your experience with experimental design.
- How do you handle data inconsistencies?
- Explain a scientific project you led and its outcome.
Advice
Be prepared to discuss your previous research in detail and demonstrate problem-solving skills.
Full Experience
I applied through the company website and was invited to a phone screening, followed by a technical interview and a final panel interview. The technical round focused on my research background and data analysis skills. The panel interview included scenario-based questions related to project management and teamwork. Overall, the process was thorough but fair.
Frequently Asked Questions in Sci-Edge Abstracts
Have a question about the hiring process, company policies, or work environment? Ask the community or browse existing questions here.
Common Interview Questions in Sci-Edge Abstracts
Q: In a sports contest there were m medals awarded on n successive days (n > 1). 1. On the first day 1 medal and 1/7 of the remaining m - 1 medals were awarded. 2. On the second day 2 medals and 1/7 of the now remaining medals was awarded; and so on.On the nth and last day, the remaining n medals were awarded.How many days did the contest last, and how many medals were awarded altogether?
Q: A hare and a tortoise have a race along a circle of 100 yards diameter. The tortoise goes in one directionand the hare in the other. The hare starts after the tortoise has covered 1/5 of its distance and that too leisurely.The hare and tortoise meet when the hare has covered only 1/8 of the distance. By what factor should the hareincrease its speed so as to tie the race?
Q: A rich merchant had collected many gold coins. He did not want anybody to know about them. One day his wife asked, "How many gold coins do we have?" After pausing a moment, he replied, "Well! If I divide the coins into two unequal numbers, then 32 times the difference between the two numbers equals the difference between the squares of the two numbers."The wife looked puzzled. Can you help the merchant's wife by finding out how many gold coins they have?
Q: Suppose a newly-born pair of rabbits, one male, one female, are put in a field. Rabbits are able to mate at the age of one month so that at the end of its second month a female can produce another pair of rabbits. Suppose that our rabbits never die and that the female always produces one new pair (one male, one female) every month from the second month on.
Q: 9 cards are there. You have to arrange them in a 3*3 matrix. Cards are of 4 colors. They are red, yellow, blue and green. Conditions for arrangement: one red card must be in first row or second row. 2 green cards should be in 3rd column. Yellow cards must be in the 3 corners only. Two blue cards must be in the 2nd row. At least one green card in each row.
Q: A rich man died. In his will, he has divided his gold coins among his 5 sons, 5 daughters and a manager. According to his will: First give one coin to manager. 1/5th of the remaining to the elder son.Now give one coin to the manager and 1/5th of the remaining to second son and so on..... After giving coins to 5th son, divided the remaining coins among five daughters equally.All should get full coins. Find the minimum number of coins he has?
Q: T, U, V are 3 friends digging groups in fields. If T & U can complete i groove in 4 days &, U & V can complete 1 groove in 3 days & V & T can complete in 2 days. Find how many days each takes to complete 1 groove individually.
Q: The citizens of planet nigiet are 8 fingered and have thus developed their decimal system in base 8. A certain street in nigiet contains 1000 (in base 8) buildings numbered 1 to 1000. How many 3s are used in numbering these buildings?
Q: At 6?o a clock ticks 6 times.The time between first and last ticks is 30 seconds.How long does it tick at 12?o clock?2.A hotel has 10 storey. Which floor is above the floor below the floor, below the floor above the floor, below the floor above the fifth.
Q: The egg vendor calls on his first customer and sells half his eggs and half an egg. To the second customer, he sells half of what he had left and half an egg and to the third customer he sells half of what he had then left and half an egg. By the way he did not break any eggs. In the end three eggs were remaining . How many total eggs he was having ?
Q: A long, long time ago, two Egyptian camel drivers were fighting for the hand of the daughter of the sheik of Abbudzjabbu. The sheik, who liked neither of these men to become the future husband of his daughter, came up with a clever plan: a race would dete
Q: Tom has three boxes with fruits in his barn: one box with apples, one box with pears, and one box with both apples and pears. The boxes have labels that describe the contents, but none of these labels is on the right box. How can Tom, by taking only one p
Q: In a Park, N persons stand on the circumference of a circle at distinct points. Each possible pair of persons, not standing next to each other, sings a two-minute song ? one pair immediately after the other. If the total time taken for singing is 28 minutes, what is N?
Q: Give two dice - one is a standard dice, the other is blank (nothing painted on any of the faces). The problem is to paint the blank dice in such a manner so that when you roll both of them together, the sum of both the faces should lie between 1 and 12. Numbers from 1-12 (both inclusive) equally likely.
Q: If I walk with 30 miles/hr i reach 1 hour before and if i walk with 20 miles/hr i reach 1 hour late. Find the distance between 2 points and the exact time of reaching destination is 11 am then find the speed with which it walks.
Q: There are four dogs/ants/people at four corners of a square of unit distance. At the same instant all of them start running with unit speed towards the person on their clockwise direction and will always run towards that target. How long does it take for them to meet and where?
Q: Consider a series in which 8 teams are participating. each team plays twice with all other teams. 4 of them will go to the semi final. How many matches should a team win, so that it will ensure that it will go to semi finals.?
Q: Jack and his wife went to a party where four other married couples were present. Every person shook hands with everyone he or she was not acquainted with. When the handshaking was over, Jack asked everyone, including his own wife, how many hands they shook?
Q: A man driving the car at twice the speed of auto one day he was driven car for 10 min. and car is failed. he left the car and took auto to go to the office .he spent 30 min. in the auto. what will be the time take by car to go office?
Q: A person meets a train at a railway station coming daily at a particular time. One day he is late by 25 minutes, and he meets the train 5 k.m. before the station. If his speed is 12 kmph, what is the speed of the train.