Statistical Methods (CBSE-NET (UGC) Geography (Paper-II & Paper-III)): Questions 1 - 5 of 21

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Question number: 1

» Statistical Methods » Measures of Central Tendency

Appeared in Year: 2014

MCQ▾

Question

Mean, median and mode coincide if the distribution of values is (June)

Choices

Choice (4) Response
a.

Normal

b.

Positively skewed

c.

Poisson

d.

Negatively skewed

Question number: 2

» Statistical Methods » Measurement of Spatialpatterns of Distribution

Appeared in Year: 2014

Match List-Ⅰ List-Ⅱ▾
List-Ⅰ (Method) List-Ⅱ (Measured By)

(A)

Correlation

(i)

principal component

(B)

Nearest neighbor

(ii)

centrographic measure

(C)

Standard distance

(iii)

settlement pattern

(D)

Eigen value

(iv)

settlement pattern

Choices

Choice (4) Response
  • (A)
  • (B)
  • (C)
  • (D)
a.
  • (iv)
  • (ii)
  • (i)
  • (iii)
b.
  • (ii)
  • (iii)
  • (iv)
  • (i)
c.
  • (iv)
  • (iv)
  • (ii)
  • (i)
d.
  • (iii)
  • (ii)
  • (i)
  • (iv)

Question number: 3

» Statistical Methods » Simple and Multiple Correlation

Appeared in Year: 2014

MCQ▾

Question

Which one of the following circumstances Pearson’s coefficient of Correlation is used? (December)

Choices

Choice (4) Response
a.

when the data is abnormally distributed

b.

when the data set is positively skewed

c.

when the data set is negatively skewed

d.

when the data is normally distributed

Question number: 4

» Statistical Methods » Measures of Central Tendency

Appeared in Year: 2014

MCQ▾

Question

Which one of the following averages is not a measure of central tendency? (December)

Choices

Choice (4) Response
a.

Arithmetic mean

b.

Harmonic mean

c.

Geometric mean

d.

Geographic mean center

Question number: 5

» Statistical Methods » Measure Association Among Different Attributes

Appeared in Year: 2014

MCQ▾

Question

Which one of the following statistical techniques involves a large number of variables to be summarized into smaller dimensions? (December)

Choices

Choice (4) Response
a.

Regression

b.

Chi-square

c.

Correlation

d.

Factor analysis

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