2. SEED SAMPLING RL. AGRA w.4.L Seed sampling is aimed at obtaining a sample of the required size and consisting of the same components as the whole lot of seeds. The quantity of seed tested in the laboratory is small‚ compared with the size of the seed lot which it is intended to represent. No matter how accurately the laboratory work is done‚ the results can only show the quality of the sample submitted for analysis. Consequently. every effort must be made to ensure that the sample sent to
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SAMPLING Sampling is the act‚ process‚ or technique of selecting a suitable sample‚ or a representative part of a population for the purpose of determining parameters or characteristics of the whole population. REASONS FOR SAMPLING There are six main reasons for sampling instead of doing a census. These are; * Economy * Timeliness * The large size of many populations * Inaccessibility of some of the population * Destructiveness of the observation * Accuracy or Reliability
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Asian trade system? What was the “flaw”? Who controlled the trade system? Who overthrew the Mongols/Yuan dynasty? What did Hongwu give power to? What did Hongwu try to decrease? What increased during Hongwu’s rule? Chapter 21 The Asian trading network was before the Europeans had monopoly on the world trade system‚ the main “people” involved in this trade was the Arabs‚ Indians‚ and the Chinese. Each of these had their respective items to offer‚ such as glass‚ cotton
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Sampling methodologies Sampling It may be defined as a process of selecting units that may be people‚ organizations etc‚ from a larger whole i.e. from a population of interest‚ so that by studying the sample we may come up with general characteristics of the entire population under consideration. Types of sampling methods: Probability sampling Probability sampling is a type of sampling that includes random selection. And in order to achieve random selection‚ it must be
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light energy from the sun to make their own food (photosynthesise). Sampling plants 1. RANDOM SAMPLING Random sampling is usually carried out when the area under study is fairly uniform‚ very large‚ and or there is limited time available. When using random sampling techniques‚ large numbers of samples/records are taken from different positions within the habitat. A quadrat frame is most often used for this type of sampling. The frame is placed on the ground (or on whatever is being investigated)
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Session 5 Topic: Sampling Theory/ Techniques and Discussions Project Brief ◦ Expectations and deliverables (Deadline October 1‚ 2010- EOD) Sampling basics ◦ Fundamental Issues ◦ Errors Sampling techniques ◦ Probabilistic ◦ Non-probabilistic Discussions © Krishanu Rakshit‚ IIM Calcutta 28 September‚ 2010 2 When do we use a ‘sample’ When do we use a census (population) Sampling errors ◦ Difference between a measure from sample and the measure
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Aim * To educate students on what instruments they should use for sampling of water sample. * To expose the students the proper technique to measure the water. * To give the students experience with sampling of water sample. Introduction Pollution can be defined as a harm to the environment which can cause a lot of bad consequences to human health‚ living resources and ecological. Thus‚ pollutants can be gain from many sources and can take many forms. The pollutants can contaminate
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Sampling Techniques Worksheet For each description of sampling‚ decide if the sampling technique is A. Simple Random B. Stratified C. Cluster D. Systematic E. Convenience 1. In order to estimate the percentage of defects in a recent manufacturing batch‚ a quality control manager at Intel selected every 8th chip that comes off the assembly line starting with the 3rd‚ until she obtains a sample of 140 chips. 2. In order to determine the average IQ of ninth-grade students‚ a school psychologist
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This chapter covers Ecology and‚ as such‚ has a vocabulary all its own – which is often examined. Environment: All the organisms (biotic) and the conditions (abiotic) which exist in an area Abiotic factors: all the non-living factors in an environment‚ such as rainfall‚ temperature‚ soil. Biotic factors: All the living organisms in an area – such as producers‚ predators and parasites. Population: All the members of one species living in an area Community: The total of all the populations living in
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Random sampling is the purest form of probability sampling. Each member of the population has an equal and known chance of being selected. When there are very large populations‚ it is often difficult or impossible to identify every member of the population‚ so the pool of available subjects becomes biased. Systematic sampling is often used instead of random sampling. It is also called an Nth name selection technique. After the required sample size has been calculated‚ every Nth record is selected
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