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Punjab (PTB) · Chapter test · Free

2nd Year Statistics Chapter 6 TestAssociation

30 marks · 40 minutes · 21 questions. Covers: CHAP 15: Association .

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2nd Year Statistics Chapter 6 Test

2nd Year · Statistics · Punjab (PTB)

Name: ____________Roll No: ________Class/Section: ________Date: ________Total marks: 30Time: 40 minutes

Q1. Multiple choice questions (Attempt all · 10 × 1 = 10)

  1. If the two attributes A and B have perfect negative association, then the Yates coefficient of Association is equal to:

    1. +1

    2. 0.87

    3. -1

    4. -0.83

  2. A characteristic which varies in quality from one individual to another is called:

    1. Variable

    2. Statistics

    3. Attributes

    4. Regression

  3. Both the coefficient of correlation and the coefficient of association lie between:

    1. 0 and 1

    2. -1 and 0

    3. -1 and 1

    4. -2 and 2

  4. If any ultimate class frequency is negative, the data will be:

    1. Inconsistent

    2. Constant

    3. Correlated

    4. None of these

  5. A table consisting of r rows and C columns is called :

    1. Frequency table

    2. t-table

    3. F-table

    4. Contingency table

  6. When the expected frequencies are too small, the value of chi-square will be:

    1. Overestimated

    2. Underestimated

    3. Unaffected

    4. None of these

  7. The value of chi-square may be:

    1. Zero

    2. Positive

    3. Negative

    4. A and B but not C

  8. Chi-square should not be used with  contingency table if:

    1. d.f. = 1

    2. expected values are below 5 in any cell

    3. Observed values are below 5 in any cell

    4. Both B and C

  9. For a contingency table of order , the number of the degrees of freedom is equal to:

    1. rc

    2. (r - 1)c

    3. (c - 1) (r)

    4. (r - 1) (c - 1)

  10. If (AB) < (A)(B)/N, then the association is:

    1. Positive

    2. Negative

    3. Perfect

    4. None of these

Q2. Short questions (Attempt any 6 of 8 · 6 × 2 = 12)

  1. What is rank correlation?

  2. What is the criterion of independence with respect to the two attributes A and B?

  3. What are the properties of rank correlation coefficients?

  4. Given (A) = 30, (B) = 60 and n = 150, find (AB).

  5. Given (A) = 340000, (B) = 6000 (AB) = 5300 and n = 7000 whether attributes A and B are positively associated?

  6. Define Chi-square (x2) statistic.

  7. If (A) = 20, (B) = 10, n = 40 find (AB) If A & B are independent.

  8. When Yates correction is used in x2 distribution.

Q3. Long questions (Attempt any 2 of 3 · 2 × 4 = 8)

  1. From the given rankings of 10 students in Statistics and Economics

    Statistics (x) 1 2 3 4 5 6 7 8 9 10
    Economics (y) 2 4 3 1 7 5 8 10 6 9

    Compute the coefficient of rank correlation.

  2. 750 students appeared in an examination and 470 were successful. 465 had attended classes and 58 of them failed. Calculate the coefficient of association to discuss association between attending classes and success.

  3. If A's are 60% and B's are 40% of the whole number of observations, what must be the percentage of AB's in order that we conclude that A and B are independent.