Exam Details

Subject Statistical Techniques Lab
Paper
Exam / Course Bachelor of Computer Applications / Masters in Computer Applications (PRACTICALS)
Department School of Computer and Information Sciences (SOCIS)
Organization indira gandhi national open university
Position
Exam Date December, 2016
City, State new delhi,


Question Paper

No. of Printed Pages: 2 IBCSL-044(P)/S1 I
BACHELOR OF COMPUTER APPLICATIONS (Revised)

Term-End Practical Examination
December, 2016


BCSL-044(P)/S1 STATISTICAL TECHNIQUES LAB
Time: 1 Hour Maximum Marks: 50
Note: There are two compulsory questions in this paper of20 marks each. Rest 10 marks are for viva-voce.
Use any spreadsheet package for implementation. For programming (if asked), you may use any compiler.

1. The concentration of dissolved minerals were recorded in 20 samples of water. The following table shows this data:

Mineral Concentration (in ppm)
250 290 800 715 671
125 1075 1200 300 700
995 1207 691 827 671
1210 405 607 895 670

Perform the following tasks for the data given above:

Enter the data in a spreadsheet and create a frequency distribution. You must create suitable ranges for this distribution. Use array formula for finding the distribution.

Draw the histogram of the data.

Find the relative frequency distribution for the frequency distribution obtained in part

Find the mean and standard deviation of the data using spreadsheet formula.

2. A group of 10 students were given intensive counselling sessions in mathematics subject. The following table shows the marks out of 50 in two equivalent tests, one conducted before the counselling and the second conducted after the counselling sessions:

Marks before counselling 20 27 31 24 45 31 16 15 12 15
Marks after counselling 31 16 37 41 40 27 29 35 19 27

Using t-test with a significance level of can you say that the counselling sessions have helped the students? Clearly write H0 and H1 and explain your result. Make suitable assumptions, if any.


Departments

  • Centre for Corporate Education, Training & Consultancy (CCETC)
  • Centre for Corporate Education, Training & Consultancy (CCETC)
  • National Centre for Disability Studies (NCDS)
  • School of Agriculture (SOA)
  • School of Computer and Information Sciences (SOCIS)
  • School of Continuing Education (SOCE)
  • School of Education (SOE)
  • School of Engineering & Technology (SOET)
  • School of Extension and Development Studies (SOEDS)
  • School of Foreign Languages (SOFL)
  • School of Gender Development Studies(SOGDS)
  • School of Health Science (SOHS)
  • School of Humanities (SOH)
  • School of Interdisciplinary and Trans-Disciplinary Studies (SOITDS)
  • School of Journalism and New Media Studies (SOJNMS)
  • School of Law (SOL)
  • School of Management Studies (SOMS)
  • School of Performing Arts and Visual Arts (SOPVA)
  • School of Performing Arts and Visual Arts(SOPVA)
  • School of Sciences (SOS)
  • School of Social Sciences (SOSS)
  • School of Social Work (SOSW)
  • School of Tourism & Hospitality Service Sectoral SOMS (SOTHSM)
  • School of Tourism &Hospitality Service Sectoral SOMS (SOTHSSM)
  • School of Translation Studies and Training (SOTST)
  • School of Vocational Education and Training (SOVET)
  • Staff Training & Research in Distance Education (STRIDE)

Subjects

  • Advanced database management systems
  • Assembly Language Programming Lab
  • C and Assembly Language Programming
  • C Language Programming
  • C' Programming and Data Structure
  • C++ Programming Lab
  • Computer Basics And PC Software Lab
  • Computer Fundamentals and PC Software
  • Computer Networks
  • COMPUTER ORIENTED NUMERICAL TECHNIQUES LAB
  • Data And File Structures Lab
  • Data Base Management System Lab
  • Internet Concepts and Web Design
  • Introduction to algorithm design lab
  • Introduction to Internet Programming (Java)
  • Introduction to System Software
  • Java Programming Lab
  • Laboratory Course (For Data and File Structures, Networking, DBMS Lab & Java Programming
  • Laboratory Course (For OOAD, Software Engineering and Accountancy and Financial Management
  • Laboratory Course in (Advanced Internet Technologies & Computer Graphics and Multimedia)
  • Network Programming and Administration Lab
  • Operating System Concepts and Network Management Lab
  • RDBMS Lab
  • Statistical Techniques Lab
  • TCP/IP Programming
  • UNIX and DBMS Lab
  • WEB PROGRAMMING LAB
  • Windows Programming