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Biostatistics model papers b.sc sem-3 in English download
Hello guys, today I heard about the subject, biostatistics. The university has been launched a new course for 3rd-semester students. and also in this situation so, many students will suffer from collecting information about the subject. that's why I was started to collect the information whatever you want. the degree students always trying to help you. you just don't need to worry. just follow our instructions to get the information in the form of a PDF file.
Here is the syllabus of the Biostatistics subject
Syllabus of Biostatistics
Unit - 1 :
Descriptive and Relational Statistics :
Data collection and tabulation, Measures of dispersion ( Range, Quartile Deviation, Mean Deviation, Standard Deviation, Standard error, and Coefficient of variation )with simple applications, Concept of Skewness, and Kurtosis.
Concept of correlation, computation of Karl - Pearson correlation coefficient, Spearman's rank correlation coefficient and simple linear regression with simple applications,
Unit -2
Probability and Inferential Statistics :
Basic concepts and Basic terms of probability. Mathematical, Statistical, and Axiomatic definitions of probability. Conditional probability and Independence of events, Addition and multiplication theorems ( Statements only ) with simple applications. Statements and applications of Binomial, Poisson, and Normal distributions.
Concepts of Population Sample, Parameter, Statistic. Null and Alternative hypotheses, Critical region, two types of errors. Level of significance. Tests of significance based on goodness of fit. means, variances using x test, t-test, F - test, and analysis of variance ( ANOVA ).
Biostatistics ( model paper-1) PDF
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Biostatistics (model paper-3) PDF free download
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And also please remember these words..... this is only to understand the syllabus of the subject. And we didn't say that this is KAKATIYA UNIVERSITY official subject.
Important questions of Biostatistics
1.Define Bio-Statistics. State the applications and uses in different fields.
2. What are the statistics? Describe their characteristics.
3. Discuss the limitations of statistics. distrust of statistics?
4. What are the functions of Statistics?
5. What are the uses of Statistics.
6. Briefly explain various methods of collecting primary data.
7. What is a secondary source? What are the chief sources of Secondary Data?
8. Primary data and secondary data
9. Explain the objectives of Tabulation
10. Explain the different parts of a table? Explain the types of various tabulation methods.
11. What is a pie diagram
12. Describe the construction of histogram and frequency polygon of frequency distribution and state their uses.
13. What is meant by arithmetic average? Explain its advantages and disadvantages. ( Or ) Define Mean. What are its merits and demerits?
14. Explain the meaning of Median What are its merits and demerits ( Or ) Define Median What are its limitations and uses
15. Define Mode What are its merits and demerits
16. Explain the meaning of dispersion. What are the methods of computing dispersion? ( Or ) Explain the meaning of the term dispersion and distinguish between absolute and relative measures of dispersion. ( Or ) Discuss the various ways in which the difference in the characteristics of the frequency distribution are generally measured.
17. Explain about 'Range'. How to Calculate Range ? State its uses and limitations.
18. Write about Quartile Deviation. State its merits and limitations.
19. Write about Mean Deviation ? State its merits and limtations.
20. What is Standard Deviation ? Explain its merits and demerits.
21. What is coefficient of variation.
22. Define skewness and explain its salient features.
23. Explain about Kurtosis.
24. Define the term Standard Error of mean.
Short questions
1. Define Correlation. Write a short note on its importance.
2. What is a scatter diagram ?
3. Explain the various types of correlation with suitable examples.
4. Discuss different types of methods of statistics correlation.
5. Define 'regression' and discuss its utility ?
6. What are the properties of regression co - efficients ?
7. Distinguish between 'correlation' and 'regression'.
1. Write down various terms which are used in the definition of probability.
2. Define statistical probability.
3. Define mathematical probability.
4. What is the formula for the probability.
5. Describe additive law of probability.
6. Define conditional probability.
7. Define a conditional event and conditional probability. Establish the multiplication theorem of probability.
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