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Hypothesis-testing and t-tests
2002This module covers hypothesis testing using t-tests. Modules 1–3 have covered the preliminary stages in data entry and analysis. Module 2 has provided examples of data exploration and description. Exploring and describing the data using descriptive statistics (means, medians, frequency counts, etc.) and charts provides us with the opportunity to become
Deirdre A. Fullerton +4 more
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2010
This study has two aims: to show the methodological possibility of doing purely subjective semantic research quantitatively and to demonstrate theoretically that discreet senses and discreet linguistic forms do not exist. On the methodological front, it argues that, with due caution and statistical modelling, subjective semantic characteristics, such ...
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This study has two aims: to show the methodological possibility of doing purely subjective semantic research quantitatively and to demonstrate theoretically that discreet senses and discreet linguistic forms do not exist. On the methodological front, it argues that, with due caution and statistical modelling, subjective semantic characteristics, such ...
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Hypothesis Testing in Regression
2004We look at two fuzzy hypothesis tests in this chapter: (1) in the next section H0 : b = 0 verses H 1 : b > 0 a one-sided test; and (2) in the third section H 0 : c = 0 verses H1: c ≠ 0 a two-sided test. In both cases we first review the crisp (non-fuzzy) test before the fuzzy test. We could also runs tests on a.
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A Test of Lippold's Hypothesis
Archives of Neurology, 1973Direct experimental evidence bearing on the hypothesis that the alpha rhythm is generated by tremor of the extraocular muscles which modulates the corneoretinal potential is presented. The average percent of alpha was continuously measured on a cat during ketamine hydrochloride anesthesia and decamethonium bromide paralysis. Alpha production increased,
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Archives of Internal Medicine, 1986
To the Editor. —I was much impressed by the article by Detsky and Sackett in the April 1985 issue of theArchives 1 dealing with "negative" clinical trials. The discussion of power in hypothesis testing is ignored far too often; the pragmatic approach offered by the authors one hopes will improve this situation by providing scientists a simplified and ...
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To the Editor. —I was much impressed by the article by Detsky and Sackett in the April 1985 issue of theArchives 1 dealing with "negative" clinical trials. The discussion of power in hypothesis testing is ignored far too often; the pragmatic approach offered by the authors one hopes will improve this situation by providing scientists a simplified and ...
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2013
This chapter introduces the reader to statistical inference, and in particular, the test of hypothesis. Inference refers to the idea that we will employ the sample data to make inferences about the population. A major means of making inferences is to pose a hypothesis about the population and then examine whether it is supported by one’s sample data ...
Alfred DeMaris, Steven H. Selman
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This chapter introduces the reader to statistical inference, and in particular, the test of hypothesis. Inference refers to the idea that we will employ the sample data to make inferences about the population. A major means of making inferences is to pose a hypothesis about the population and then examine whether it is supported by one’s sample data ...
Alfred DeMaris, Steven H. Selman
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2001
In Chapter 1, we learned how to describe a sample and how to use the sample to describe and estimate the parameters of the population from which it was drawn. In this chapter, we learn how to frame hypotheses and alternatives about the population and to test them using the relabeling method.
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In Chapter 1, we learned how to describe a sample and how to use the sample to describe and estimate the parameters of the population from which it was drawn. In this chapter, we learn how to frame hypotheses and alternatives about the population and to test them using the relabeling method.
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2015
You should now have an understanding of the basics of SAS and the fundamentals of statistics. You’ve mostly used descriptive statistics to explain the data and get some quick insights without applying any advanced techniques. One advanced technique you’ll learn to apply in this chapter is how to test your hypotheses.
Shailendra Kadre, Venkat Reddy Konasani
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You should now have an understanding of the basics of SAS and the fundamentals of statistics. You’ve mostly used descriptive statistics to explain the data and get some quick insights without applying any advanced techniques. One advanced technique you’ll learn to apply in this chapter is how to test your hypotheses.
Shailendra Kadre, Venkat Reddy Konasani
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Genetic testing in prostate cancer management: Considerations informing primary care
Ca-A Cancer Journal for Clinicians, 2022Veda N Giri +2 more
exaly