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Click on any of the term papers to read a brief synopsis of the research paper. The essay synopsis includes the number of pages and sources cited in the paper.
An 8 page paper that begins with a statement explaining target population and sample population. The first part of the paper explains different non-probability designs, including purposive, convenience and volunteer. Probability designs are then discussed, including simple random designs, stratified, systematic, cluster and multi-stage with examples. Bibliography lists 4 sources.
This is a 5 page paper discussing probability sampling. To properly understand inferences within a population, researchers have developed methods of sampling which combine with the concept of probability to acquire the desired results. There are various types of probability sampling each of which has its own advantages in regards to capturing a specific trend within the population. Sampling sizes are based on several factors as well which include level of confidence, population size, and sampling error among other factors.
Bibliography lists 6 sources.
This 3 page paper examines a probability cases presented by the student. A couple are convicted of a crime based on their description and the statistical probability of the couple being a 1 in 12 million chance, calculated with independent variables. The paper looks at how and why the conviction may have been overturned at appeal, considering the way the probability was calculated and the way that probabilities were determined in the first place.
A 2 page paper discussing the probability of identity through DNA testing. Long used for paternity testing, forensic databases even now are being constructed listing genotypes of known and convicted offenders. Improvements in test procedures and sensitivity has resulted in probability of identity increasing from 1 in 5,000 to 1 in 82 billion in recent years, making DNA testing one of the most reliable methods of proving identity. Bibliography lists 3 sources. KS-DNA.doc
This 4 page paper looks at the way uncertainty can be dealt with in business by using statistics and probability. The paper presents as example of a shop that needs to determine how much stock to purchase where there are different influences that can be measured with statistics and probability. The bibliography cites 1 source.
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