1.1. INTRODUCTION The word research derives from the French “recherche”, which means to search closely. Research is a process of investigation. It is an examination of a subject from different points of view. It’s not just a trip to the library to pick up a stack of materials, or picking the first five hits from a computer search. Research is a hunt for the truth. It is getting to know a subject by reading up on it, playing with the ideas, choosing the areas that interest you and following up on them. Research is the way you educate yourself. Research can be defined as the search for knowledge or any systematic investigation to establish facts. The primary purpose for research is discovering, interpreting, and the development of methods and systems for the advancement of human knowledge on a wide variety of scientific matters of our world and the universe. Research can use the scientific method, but always not necessary. Scientific research relies on the application of the scientific method, a harnessing of curiosity. This research provides scientific information and theories for the explanation of the nature and the properties of the world around us. It makes practical applications possible. Scientific research can be subdivided into different classifications according to their academic and application disciplines.

2.1. INTRODUCTION The purpose of collecting data is to collect evidence for reaching a sound and clear solution to a problem. In this chapter we will study the sources of data, mode of data collection and its techniques. Sources and Types of Data Statistical data can be obtained from two sources: Primary and Secondary

3.1. CENSUS AND SAMPLE SURVEYS Census or Complete Enumeration A survey, which includes every element of the population, is known as Census or the Method of Complete Enumeration. If certain agencies are interested in studying the total population of a country, they have to obtain information from all the households in rural and urban area. The essential feature of this method is that this covers every individual unit in the entire population. We cannot select some and leave out others. We may be familiar with the Census of a country, which is carried out after a particular period like every ten years. A housetohouse enquiry is carried out, covering all households. Human demographic data on birth and death rates, literacy, workforce, life expectancy, size and composition of population, etc. are collected and published by a government agency.

4.1. INTRODUCTION The number of individuals to be included in a research study (the sample size of the study), is an important consideration in the design of many studies. This chapter will provide information on basic factors that determine an appropriate sample size and provides methods for its calculation in some simple, yet common, cases. Sample size is closely tied to statistical power, which is the ability of a study to enable detection of a statistically significant difference. A trade-off exists between a feasible sample size and adequate statistical power. Strategies for reducing the necessary sample size while maintaining a reasonable power is also important. How many individuals will I need to study? This question is commonly asked by the clinical, ecological and behavioural investigator and exposes one of many issues that are best settled before actually carrying out a study. Consultation with a statistician is worthwhile in addressing many issues of study design, but a statistician is not always readily available. The amount of information that can be gained from a sample depends upon its absolute size and not upon its size as a proportion of the population size, Just as to decide if the wine is good we need only a sip, irrespective of the bottle size, similarly we do not need to know the exact size of the parent population, provided complete homogeneity exists, But in reality, and more so in biological sciences, such homogeneity is rarely seen. Therefore, appropriate sample size becomes pertinent for drawing valid conclusions and is among the most difficult decisions to be taken for a study. The size of the sample would depend upon (i) the permissible error in assessment of inference i.e. accuracy and (ii) sampling error. Sampling error measures the amount of variability between sample results; the lesser it is the better. The main determinant of the sample size, therefore, is how accurate results do we used. This in turn, depends on the purpose and type of study.

5.1. INTRODUCTION The word ‘probability’ means “reasonable likelihood of happening of an event”. In biology it is difficult to predict an outcome with absolute certainty. Probability helps us to estimate the occurrence of relative frequency of any (biological) event and is an accepted measure of uncertainty. Mathematically, the probability ‘P’ that an event ‘E’ will occur, is expressed as:

6.1. INTRODUCTION The word hypothesis is made up of two words Hypo + thesis = Hypothesis. ‘Hypo’ means tentative or subject to the verification and ‘Thesis’ means statement about solution of a problem. The world meaning of the term hypothesis is a tentative statement about the solution of the problem. Hypothesis offers a solution of the problem that is to be verified empirically and based on some rationale. Hypothesis is the composition of some variables which have some specific position or role of the variables i.e. to be verified empirically. It is a proposition about the factual and conceptual elements. Hypothesis is called a leap into the dark. It is a brilliant guess about the solution of a problem. A tentative generalization or theory formulated about the character of phenomena under observation are called hypothesis. It is a statement temporarily accepted as true in the light of what is known at the time about the phenomena. It is the basis for planning and action in the research for new truth.

1.1. INTRODUCTION Researchers interested in taking up research have initial difficultes in picking up a problem worth for investigation. At time they waste considérable amount of time in just thinking about the pros and cons of problems suggested by some ones or identified by himself/herself. It is basically due to misunderstanding about "what is research". Usual notion about research is that it must resuit in something spectacular or it must come up with a new discovery or theory. It must be pointed out that a study which brings forward new facts, or which demolishes or establishes a hypothesis or a theory or principal already in vogue, or which puts a variety of information in to order or system, or which prepares ground for further research is as valid as one which ends with a new discovery. The best research problem for researcher is one which arises from the researcher's own curiosity. The only thing is that researcher must know the tools which can handle the problems he proposed to take up. Before choosing for a problem for research one should as question to himself: is this problem really of interest to me?; Is it significant in the sense that it extends the frontiers of knowledge or fills an important gap in knowledge?; Can I handle this problem within the constraints of resources of money, time etc?; has this problem not been investigated by someone else? A good research proposai describes situation of problem, problem area, justification, methodology adopted for data collection, analysis, expected results and institution/ organisation that may use the outcome.

8.1. INTRODUCTION The existence of Science could be in danger, if scientists did not record experiment performed, data collected and resuit obtained. Scientific writing doesn't mean to only keep records of progress and information, but to actually publish the results of studies in scientific journals. While keeping records is quite easy to do, publishing scientific papers can be really difficult, and especially for young researchers who are just starting to discover the world of scientific publications. A scientific writing is a method of communication, an attempt to tell others about some specific data that you have gathered and what you think those data mean in the context of your research. The rules of writing a scientific paper are rigid and are différent Uorr\ those that apply when we write an English theme. Scientific paper must be written clearly and concisely so that readers with backgrounds similar to yours can understand easily what you have done and how you have done it. The ultimate aim of most scientists is to publish their research findings in professional scientific reports. This includes peer-reviewed journal articles, which report original findings and contribute to the global pool of scientific knowledge. Scientists spend their time writing proposais, planning research, undertaking experiments, analysing data, tracing research, and reading related articles. Published reports and journal articles provide evidence of this dedication. Therefore, a scientific report is not simply some extra work that is done at the end of a project; it is an important historical document that provides evidence of work to the wider scientific community.

9.1. INTRODUCTION A data are generally voluminous, so they need to be put in a compact and presentable form. This chapter deals with presentation of data precisely so that the voluminous data collected could be made usable readily and are easily comprehended. There are generally three forms of presentation of data: Textual or Descriptive presentation Tabular presentation Diagrammatic presentation

Bibliography Altman, J. 1974. Observational study of behaviour: sampling methods. Behaviour.49, 227-265. Bedekar, V. H. 1982. How to write, assignments, research papers, dissertation and theses. Kanak Publications, New Delhi. Pp. 114. Brown, R.A. and Beck, J.S. 1990. Medical Statistics on Microcomputers. A Guide to the appropriate use of Statistical Packages. British Medical Journal, London. Pp. 103 Cochran, W. G. 1963. Sampling Technique. Asian Publishing House, Bombay. Pp. 413. Creswell, J.W. 2008. Research Design: Qualitative, Quantitative, and Mixed Methods approaches. Sage Publications, Inc. London. Pp. 296. Fowler, J. and Cohen, L. 1986. Statistics for Ornithology. British Trust for Ornithology.