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Download OU B.Sc 2018 Dec 2nd Year Statistics Statistical Methods Question Paper

Download OU (Osmania University) BSc (Bachelor of Science - Maths, Electronics, Statistics, Computer Science, Biochemistry, Chemistry & Biotechnology) 2nd Year 1st Semester (Third Semester) (2-1) Statistics Statistical Methods Previous Question Paper

This post was last modified on 06 February 2020

OU B-Sc Last 10 Years 2010-2020 Question Papers || Osmania University


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B.Sc. III-Semester (CBCS) Examination, November / December 2012

Subject: Statistics

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Paper II: Statistical Methods (DSC)

Time: 3 Hours Max. Marks: 80

PART - A (3 X 4 = 20 Marks)

(Short Answer Type)

Note: Answer any FIVE of the following questions.

  1. State the principle of least squares.
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  3. Define Correlation Ratio and its necessity of study.
  4. Write short notes on independence of attributes.
  5. Define multiple correlation and write its measure of multiple correlation.
  6. Define Standard error. Write the standard errors for sample mean and variances.
  7. Write about Point estimation. State the properties of chi-square distribution.
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  9. State Neymann Pearson Factorization theorem.
  10. Explain the concept of Mean Square Error.

PART - B (4 X 15 = 60 Marks)

(Essay Type)

Note: Answer all questions.

  1. (a) State the conditions for consistency of data for two attributes A and B and for three attributes A, B and C.

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    OR
    (b) Find the remaining class frequencies from the following information: (ABC) = 57, (aß?) = 8310, (AB?) = 31, (aBC) = 78, (aB?) = 620 (AßC) = 86, (aßC) = 65, (AB?) = 453.
  2. (a) Define F - distribution. State properties and applications.
    OR
    (b) Explain the characteristics of a good estimator.
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  4. (a) Write the method of moment estimation. Let X1, X2,....Xn be a random sample of size n drawn from Poisson population with parameter ?, estimate the parameter ? using method of moments.
    OR
    (b) Obtain the confidence intervals for the parameter µ based on the sample of size n drawn from Normal (µ, s2), s2 is unknown by Pivot method.

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