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Home >>  Subjects during the four-year study of B. Physiotherapy>> Biostatistics and Research methodology
 
Section - I
Research Methodology
1. Research and Physical Therapy
2. The Research Problem
3. Literature Review
4. The Proposal and Ethics
5. Quantification in Research
6. Non-experimental Research
7. Confidence in Research and Instruments
8. Experimental Research
9. Experimental Design
10. Parametric tests
11. Non-parametric Tests
12. Reporting Research
Ref:   Elements of Research in Physical Therapy: Dean P Currier; Williams & Wilkins, 1990.
     
Section - II
Bio-Statistics
1. Definition and meaning of statistics.
2. Method of collection of data - primary data, secondary data - statistical unit, questionnaire.
3. Classification of data - Construction of frequency distribution table.
4. Tabulation of data - various types of calculation - rules of tabulation - seriation.
5.
Presentation of data, diagrammatic and graphical presentation. One dimensional diagram, two dimensional diagram, three dimensional diagram, pie diagrams, histogram - frequency polygon, frequency curve-ogive.
6.
Measure of central tendency - meaning, objective, requisites, various methods of measure of central tendency - mean, median and mode. Calculation of mean, median and mode in individual, discrete and continuous series. Calculation of quartiles, deciles and percentiles hi individual, discrete and continuous series.
7.
Measure of dispersion - Meaning, requisites, various methods of dispersion - range, inter quartile range, quartile deviation, mean deviation, standard deviation, coefficient deviation.
8.
Correlation - meaning, types of correlation, Scatter diagram, Karl Pearson's coefficient of correlation (ungrouped data only), Spearman's rank correlation, Coefficient (ungrouped data only).
9.
Regression - Linear regression - lines of regression - estimation using limes of regression (using deviation for mean) (ungrouped data only).
10.
Sampling technique - Random sampling - stratified sampling, systematic sampling, quota sampling, cluster sampling, laws of statistical regularity, inertia of large numbers, errors in sampling.
11. Probability - applied, conditional
12. Probability distribution.
 
   
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