Statistical Sciences / Computer Applications & Bioinformatics / Full Subject

40 Qs Overview

Computer Applications & Bioinformatics

Official Statistical Sciences Computer Applications & Bioinformatics complete subject practice test — All questions across all syllabus chapters.

Q.6

ICAR 2023Shift 1 MCQ (Single Correct) +4 −1

Which of the following is not a characteristic of a computer?

निम्नलिखित में से कौन-सी कंप्यूटर की विशेषता नहीं है?

Versatility बहुमुखी प्रतिभा (वर्सेटिलिटी) Accuracy सटीकता (एक्यूरेसी) Diligence परिश्रमशीलता (डिलिजेंस) I.Q. बुद्धिलब्धि

Fundamental capabilities and limitations of computers:

Versatility is a core characteristic; computers can execute diverse tasks from numerical calculations to multimedia processing.
Accuracy is a hallmark trait; computer calculations are consistently precise and error-free unless incorrect data is input (GIGO).
Diligence is a defining characteristic; computers never suffer from human fatigue, boredom, or loss of concentration.
I.Q. (Intelligence Quotient) is NOT a characteristic of computers; a computer has zero native I.Q. and cannot take decisions without programmed instructions.

कंप्यूटर की क्षमताएं और सीमाएं:

बहुमुखी प्रतिभा कंप्यूटर का प्रमुख गुण है, यह एक साथ कई भिन्न प्रकार के कार्य कर सकता है।
सटीकता इसका मूलभूत गुण है, यह बिना किसी त्रुटि के परिणाम देता है।
परिश्रमशीलता इसका गुण है, यह बिना थके या एकाग्रता खोए निरंतर कार्य कर सकता है।
बुद्धिलब्धि (I.Q.) कंप्यूटर की विशेषता नहीं है; कंप्यूटर का अपना कोई आई.क्यू. नहीं होता, यह केवल दिए गए निर्देशों के आधार पर कार्य करता है।

Explanation not matching this question? क्या व्याख्या इस प्रश्न से मेल नहीं खा रही? Report

Q.7

ICAR 2023Shift 1 MCQ (Single Correct) +4 −1

Which of the following inventions gave birth to the much cheaper microcomputers?

निम्नलिखित में से किस आविष्कार ने अत्यधिक सस्ते माइक्रो कंप्यूटरों को जन्म दिया?

PDAs पीडीए Microprocessors माइक्रोप्रोसेसर Microcomputers माइक्रो कंप्यूटर Mainframes मेनफ्रेम

Q.8

ICAR 2024Shift 1 MCQ (Single Correct) +4 −1

The difference between the expected value of a statistic and the value of the parameter being estimated is called a:

किसी सांख्यिकी (statistic) के प्रत्याशित मान (expected value) और आकलित किए जा रहे प्राचल (parameter) के मान के बीच के अंतर को क्या कहा जाता है?

Standard error मानक त्रुटि Bias अभिनति Non-sampling error गैर-प्रतिचयन त्रुटि Sampling error प्रतिचयन त्रुटि

Q.9

ICAR 2023Shift 1 MCQ (Single Correct) +4 −1

Which of the following is the sequence alignment tool ?

निम्नलिखित में से कौन-सा अनुक्रम संरेखण उपकरण (Sequence alignment tool) है?

BLAST ब्लास्ट PRINT प्रिंट PROSITE प्रोसाइट PIR पीआईआर

Q.10

ICAR 2023Shift 1 MCQ (Single Correct) +4 −1

MAtDB is a model organism database for:

MAtDB किस मॉडल जीव का डेटाबेस है?

Mouse चूहा E. coli ई. कोलाई Arabidopsis अरेबिडोप्सिस Human मानव

General Agriculture, Economics & Extension

8 Topics

Agronomy, Agro-Climatic Zones, Cropping Systems, Tillage and Soil Fertility Management Major Plant Diseases, Insect Pests, Weeds and Integrated Pest Management (IPM) Plant Physiology, Mineral Nutrition, Genetics and Plant Breeding Fundamentals Historical Milestones, Agricultural Research Infrastructure and ICAR Institutes Micro & Macro Economics: Demand, Supply, Production Costs and Market Structures Agricultural Marketing, Market Intermediaries, Price Policy, MSP and Buffer Stocking Agricultural Finance, Credit Institutions (NABARD, RRBs, Commercial Banks) and KCC Extension Education Principles, Rural Development Programs and Community Reconstruction

Mathematics

9 Topics

Differential Calculus: Limits, Continuity, Differentiability, Successive Differentiation and Expansion of Functions Sequences and Series: Arithmetic, Geometric, Harmonic Progressions and Infinite Series Convergence Matrices and Determinants: Matrix Operations, Rank, Inverse, Systems of Linear Equations and Eigenvalues Sets, Relations, Functions, Mathematical Induction and Theory of Equations Integral Calculus: Definite and Indefinite Integrals, Reduction Formulas and Areas Under Curves Differential Equations: First Order Ordinary Differential Equations, Linear Differential Equations with Constant Coefficients Applications of Derivatives: Tangents, Normals, Maxima-Minima, Mean Value Theorems and Indeterminate Forms Numerical Methods: Interpolation, Numerical Differentiation, Integration (Trapezoidal, Simpson) and Root Finding Coordinate Geometry: Straight Lines, Circles, Parabola, Ellipse and Hyperbola in Two Dimensions

Statistical Methods & Experimental Designs

14 Topics

Theoretical Discrete Probability Distributions: Bernoulli, Binomial, Poisson, Geometric and Hypergeometric Design of Experiments: Principles of Experimentation, CRD, RBD, Latin Square Design (LSD) and Factorial Experiments Probability Theory: Classical, Axiomatic Definitions, Addition, Multiplication Theorems and Bayes Theorem Small Sample Tests: Students t-test, Snedecors F-test, Chi-Square Test of Goodness of Fit and Contingency Tables Measures of Central Tendency: Arithmetic Mean, Geometric Mean, Harmonic Mean, Median and Mode Theoretical Continuous Probability Distributions: Uniform, Normal, Exponential, Beta and Gamma Distributions Sampling Theory: Census vs Sample Survey, Sampling Errors, SRSWOR, SRSWR, Stratified, Systematic and Cluster Sampling Measures of Dispersion: Range, Quartile Deviation, Mean Deviation, Standard Deviation and Coefficient of Variation Testing of Hypotheses: Null and Alternative Hypotheses, Type I and II Errors, Significance Level, Large Sample Tests (Z-test) Collection, Classification and Tabulation of Data, Frequency Distributions and Graphical Representations Regression Analysis: Simple and Multiple Linear Regression, Least Squares Principle, Properties and R-Squared Random Variables, Probability Mass and Density Functions, Expectation and Moment Generating Functions Correlation Analysis: Simple, Partial, Multiple Correlation, Pearson Coefficient and Rank Correlation Moments, Skewness (Karl Pearson, Bowley) and Kurtosis