Topic outline
Topic 1
Lecture-1
Data – definition – Collection of data – Primary and secondary data – Classification of data – Qualitative and quantitative data- Download lecture No-1 in PDF format
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Topic 2
Lecture-2
Diagrammatic representation of data – uses and limitations – simple, Multiple, Component and percentage bar diagrams – pie chart- Download lecture No:2 in PDF format
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Topic 4
Lecture-4
Measures of averages - Mean – median – mode – geometric mean – harmonic mean – computation of the above statistics for raw and grouped data - merits and demerits - measures of location – percentiles – quartiles - computation of the above statistics for raw and grouped data- Download lecture No-4 in PDF format
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Topic 5
Lecture-5
Measures of dispersion - Range, Variance -Standard deviation – co-efficient of variation - computation of the above statistics for raw and grouped data- Download lecture No:5 in PDF format
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Topic 6
Lecture-6
Probability – Basic concepts-trial- event-equally likely- mutually exclusive –independent event, additive and multiplicative laws. Theoretical distributions- discrete and continuous distributions, Binomial distributions-propertiesTopic 7
Lecture-7
Poisson Distributions - properties, Normal Distributions- properties- Download lecture No:7 in PDF format
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Topic 8
Lecture-8
Sampling-basic concepts- sampling vs complete enumeration parameter and statistic-sampling methods-simple random sampling and stratified random sampling- Download lecture No:8 in PDF format
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Topic 9
Lecture-9
Test of significance – Basic concepts – null hypothesis – alternative hypothesis – level of significance – Standard error and its importance – steps in testing- Download lecture No:9 in PDF format
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Topic 10
Lecture-10
t-test – definition – assumptions – test for equality of two means-independent and paired t test- Download lecture No:10 in PDF format
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Topic 11
Lecture-11
Attributes- Contingency table – 2x2 contingency table – Test for independence of attributes – test for goodness of fit of mendalian ratio
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Topic 12
Lecture-12
Correlation – definition – Scatter diagram -Pearson’s correlation co-efficient – properties of correlation coefficient- Download lecture No:12 in PDF format
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Topic 13
Lecture-13
Regression – definition – fitting of simple linear regression equation – testing the significance of the regression coefficient- Download lecture No:13 in PDF format
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Topic 14
Lecture-14
Design of experiments – basic concepts – treatment – experimental unit – experimental error - basic principle – replication, randomization and local control- Download lecture No:14 in PDF format
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Topic 15
Lecture-15
Completely randomized design – description – layout – analysis – advantages and disadvantages- Download lecture No:15 in PDF format
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Topic 16
Lecture-16
Randomized blocks design – description – layout – analysis – advantages and disadvantages- Download lecture No:16 in PDF format
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Topic 17
Lecture-17
Latin square design – description – layout – analysis – advantages and disadvantages- Download lecture No:17 in PDF format
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Topic 18
Lecture-18
Factorial experiments – factor and levels – types – symmetrical and asymmetrical – simple, main and interaction effects – advantages and disadvantages- Download lecture No:18 in PDF format
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Topic 20
Lecture-20
23 factorial experiments in RBD – lay out – analysis
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Topic 21
Lecture-21
Split plot design – layout – ANOVA Table- Download lecture No:21 in PDF format
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Topic 23
Lecture-23
Long term experiments – ANOVA table – guard rows – optimum plot size – determination methods- Download lecture No:23 in PDF format
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Topic 24
Lecture-24
Introduction to computers – components of CPU – A/L unit – memory unit and control unit and their functions – application of computer in Agricultural Research- Download lecture No:24 in PDF format
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Topic 25
Lecture-25
Hardware – commonly available hardware and their functions – software – types – system software and application software – an introduction to DOS, Windows and Linux OS- Download lecture No:25 in PDF format
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Topic 26
Lecture.26
Programming languages – types – low level and high level Programming languages. BASIC language – input/output statements – READ, DATA, INPUT and PRINT statements
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Topic 27
Lecture-27
Control statements – GOTO, IF statements – Loop Statement – FOR and NEXT statement - subscripted variable – simple programmes to calculate mean, standard deviation, simple correlation and simple linear regression equation using above statementsTopic 28
Lecture-28
MS Office – introduction – MS WORD – creating a simple document – editing and printing of a document- Download lecture No:28 in PDF format
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Topic 29
Lecture-29
Spreadsheet – MSEXCEL – rows, columns and cell identification – workbook and a worksheet – using simple statistical functions like average, median, mode, variance and standard deviation – creation of bar and pie charts in Excel- Download lecture No:29 in PDF format
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Topic 30
Topic 31
Lecture-31
Visual Basic - Introductionj - integrated development environment (IDE) - properties, method and events - variables - data types - working with forms - working with controls - dragging and dropping - message boxTopic 32
Lecture.32Multimedia – Introduction – multimedia hardware and storage devices – communication devices – multimedia software – presentation tools
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Topic 34
Lecture-34
Internet – introduction – network and types of network – LAN, WAN and MAN – advantages and disadvantages of net works – devices – hub, router and switch- Download lecture No-34 in PDF format
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