# MOCK TEST ON GEOGRAPHICAL TECHNIQUES PYQS JUNE & DEC 2019 NTA UGC NET

MOCK TEST ON GEOGRAPHICAL TECHNIQUES (CARTOGRAPHY & STATS) PYQS JULY & DEC 2019 NTA UGC NET

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GEOGRAPHICAL TECHNIQUES MOCK TEST 2019

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Created on By netset corner

2019 CARTOGRAPHY AND STATS PYQS NTA UGC NET

• This Test Contains 9 Questions
• Total Questions is 9
• All Questions are Compulsory
• No Negative Marking
• Specific Time given for this quiz
• Quiz / Test will start after clicking on Start Button
• After Completing Quiz, can see result in Percentages (%)
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Q.1. The following temperature data were recorded at Station A: (NTA UGC NET JUNE 2019)

Range of Temperature (0C)       No. of Days

10-20                                                   6

20-30                                                  20

30-40                                                    5

Which of the following options exhibiting mean monthly temperature is correct?

(1) 30

(2) 25

(3) 20

(4) 15

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Q.2. ‘Chi square test’ measures which of the following? (NTA UGC NET JUNE 2019)

(1) Mean deviation

(2) Goodness of fit

(3) Trend

(4) Variation

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Q.3. Which of the following is a mathematical curve that shows a visual extent of departure for any given distribution? (NTA UGC NET JUNE 2019)

(1) Logistic curve

(2) Less than ogive curve

(3) Greater than ogive curve

(4) Lorenz curve

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Q.4. which of the following statements are true? (NTA UGC NET JUNE 2019)

(a) The correlation is dependent on the choice of both origin and scale observations.

(b) The correlation coefficient is dependent on the units of measurements

(c) The coefficient of correlation is the square root of the coefficient of determination

(d) The zero value of correlation coefficient cannot estimate the value of dependent variable.

Code:

(1). (a) and (b) are true

(2). (a), (b) and (c) are true

(3). (c) and (d) are true

(4). Only (d) is true

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Q.5. The graph used to show the proportion of surface area representing elevation above or below datum is (UGC NET- JUNE 2019)

(1) Altimetric curve

(2) Fluviometric curve

(3) Morphometric curve

(4) Hypsometric curve

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Q.6. In a distribution function Y (x) of regression model. Y = a + bx + e, the error term is defined a Σe = 0. Which one of the following equations is correct as Y. Y̅ and Ŷ denote given value. Mean value and predicted value of dependent variable Y, respectively (NTA UGC NET DEC 2019)

(1) ∑ (Y - Y̅) = 0

(2) ∑ (Y - Y̅) = minimum

(3) ∑ (Y - Ŷ) = 0

(4) ∑ (Y - Ŷ) = minimum

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Q.7. What would be the pattern of distribution of rural settlements in an area if their nearest neighbour statistics works out as 2.10? (NTA UGC NET DEC 2019)

(1) Random

(2) Clustered

(3) Agglomerated

(4) Uniform

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Q.8. In the regression model (y = a + bx) where x̅ = 2.50, y̅ = 5.50 and a = 1.50 (x̅ and y̅ denote mean of variables x and y and a is a constant), which one of the following values of parameter 'b' of the model is correct? (NTA UGC NET DEC 2019)

(1) 1.75

(2) 1.60

(3) 2.00

(4) 2.50

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Q.9. How is stratified sampling carried out? (NTA UGC NET DEC 2019)

(1) Divide the population into homogeneous groups and select equally but randomly

(2) Assign numbers to the population by selecting the numbers

(3) Divide the population itself into random groups and select equally from each group

(4) Made sample of elements which are randomly selected from the population

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## UNIT WISE GEOGRAPHY MCQS MOCK TEST

SHIFT 1 & SHIFT 2 PAPERS DEC 2020 JUNE 2021

(1) DEC 2020 JUNE 2021 SHIFT-1 PAPER 2 GEOGRAPHY NTA UGC NET

(2) DEC 2020 JUNE 2021 SHIFT-2 PAPER 2 GEOGRAPHY NTA UGC NET

Syllabus:

Unit IX:

Geographical Techniques

Sources of Geographic Information and Data (spatial and non-spatial), Types of Maps, Techniques of Map Making (Choropleth, Isarithmic, Dasymetric, Chorochromatic, Flow Maps) Data Representation on Maps (Pie diagrams, Bar diagrams and Line Graph, GIS Database (raster and vector data formats and attribute data formats). Functions of GIS (conversion, editing and analysis), Digital Elevation Model (DEM), Georeferencing (coordinate system and map projections and Datum), GIS Applications ( thematic cartography, spatial decision support system), Basics of Remote Sensing (Electromagnetic Spectrum, Sensors and Platforms, Resolution and Types, Elements of Air Photo and Satellite Image Interpretation and Photogrammetry), Types of Aerial Photographs, Digital Image Processing: Developments in Remote Sensing Technology and Big Data Sharing and its applications in Natural Resources Management in India, GPS Components (space, ground control and receiver segments) and Applications, Applications of Measures of Central Tendency, Dispersion and Inequalities, Sampling, Sampling Procedure and Hypothesis Testing (chi square test, t test, ANOVA), Time Series Analysis, Correlation and Regression Analysis, Measurement of Indices, Making

Indicators Scale Free, Computation of Composite Index, Principal Component Analysis and Cluster Analysis, Morphometric Analysis: Ordering of Streams, Bifurcation Ratio, Drainage Density and Drainage Frequency, Basin Circularity Ratio and Form Factor, Profiles, Slope Analysis, Clinographic Curve, Hypsographic Curve and Altimetric Frequency Graph.

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