analytical chemistry - sampling and its techniques

29 May 2023
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analytical chemistry - sampling and its techniques

• 1. B.C.S. GOVT. PG. COLLEGE DHAMTARI :: SUBMITTED TO :: DEPARTMENT OF CHEMISTRY B.C.S GOVT. PG COLLEGE DHAMTARI TOPIC – SAMPLE AND SAMPLING TECHNIQUE GUIDED BY PRESENTED BY MISS. AAKANKSHA MARKAM TOKESHWAR SAHU, MSC (III)RD SEM
• 2. CONTENT  Introduction  Definition of Sample  Sampling technique  Types of sampling  Previous Year Questions  Reference
• 3. Introduction • Sampling and sample preparation have a unique meaning and special importance when applied to the field of analytical chemistry. In analytical chemistry, analysis of any substance we are not use bulky state of matter, we take just small part of material then we carried out quantitative and qualitative analysis of matter. • Analyte – constituent of the sample • Matrix – matrix refers to the components of the sample other than analyte • Sample = Analyte + Matrix
• 4. Sample • Sample is carried out of the larger bulk • Sample is part of anything taken or presence for inspection. • Sample is a group of people, object or item that are taken from a larger population for measurement. • A sample refers to a smaller, manageable version of a larger group. • The sample should be representative of the population. Sampling Frame
• 5. Probability Sampling Every member of the population has a chance of being selected for study. It is mainly used in quantitative research. They are again classified following types :- Sampling The act, process or technique of selecting a suitable sampling from large population. There are two types of sampling I) Probability Sampling II) Non-probability Sampling
• 6.  Simple Random Sampling – Every member of the population has an equal chance of selection. Sampling frame should include the whole population. Example – Lottery method.
• 7.  Stratified Random Sampling – The population is divided mutually exclusive groups (such as group) and random sample are drawn from each group. divide the population subgroups called strata based on the relevant characteristic eg. Gender, job role, age etc.
• 8.  Systematic Sampling – The entire population is arrange in a particular order ascending or a descending first of all a sampling interval given by K = 𝑁 𝑛 , where N the size of the population, n the size of the sample
• 9.  Cluster Sample – The population is divided into mutually exclusive group these group already existing group such as block, city, college etc. the cluster should be mutually homogeneous but internally heterogeneous.
• 10. Non-Probability Sampling  Convenience Sampling – In this sampling method the researchers selects most accessible member in population.  Judgement Sampling – The Researchers selects population members who are good prospects for accurate information.
• 11.  Quota Sampling – In this method population is divided different groups or class according to different characteristic of the population and some percentage of different groups in total population is fixed. Snowball Sampling – It is also known as chain sampling or network sampling. This sampling technique can go on and on, just like a snowball increasing in size (in this case the sample size) till the time a researcher has enough data to analyze. It formed by participates via other participates.
• 13. REFERENCE - SAMPLE AND SAMPLING TECHNIQUE • Quantitative Analysis – Vogel A.I. , Saunders, College Publications