Basic Statistics and Epidemiology: A Practical Guide, Fourth by Antony Stewart PDF

By Antony Stewart

ISBN-10: 1785231162

ISBN-13: 9781785231162

Basic data and Epidemiology is a simple primer in simple information that emphasizes its functional use in epidemiology and public well-being, supplying an realizing of crucial issues equivalent to learn layout, information research and statistical tools utilized in the execution of scientific study.

Assuming no earlier wisdom, the readability of the textual content and care of presentation confirm these new to, or challenged via, those themes are given a radical creation with out being crushed via pointless element. An realizing and appreciation of records is relevant to making sure that pro perform relies at the most sensible on hand proof, so as to deal with and aid such a lot adequately the broader group. via interpreting this ebook, scholars, researchers, medical professionals, nurses and overall healthiness managers can have the information essential to comprehend and observe the instruments of statistics and epidemiology to their very own practice.

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Additional info for Basic Statistics and Epidemiology: A Practical Guide, Fourth Edition

Sample text

E. 187. 3. 883. 4. 509. 5. i. 883). 883. In this case, the range is not particularly wide, indicating that the population mean is unlikely to be far away. CONFIDENCE INTERVALS 39 It should therefore be reasonably representative of patients with diabetes, so long as the sample was randomly selected. Increasing the sample size will usually result in a narrower confidence interval. 96 (this is the number of standard deviations which contain 99% of all the values of the normal distribution). Although a 99% confidence interval will give greater certainty, the intervals will be wider.

G. for comparing proportions in two independent groups, where the sample size is large), and these are covered by several other texts. e. (also see Chapter 15 on t-tests). This page intentionally left blank CHAPTER 13 Probability Probability is a mathematical technique for predicting outcomes. It predicts how likely it is that specific events will occur. 1. For example, when one tosses a coin, there is a 50% chance of obtaining a head. 05. 5. 0, nor can it be negative. There is a range of methods for calculating probability for different situations.

3. 4. 322 (not shown in Chapter 7). The number of observed values = 27. 196. 447. You can see that the standard error is very much smaller than the standard deviation. e. = s12 + s22 n1 + n2 where: s1 = standard deviation for sample 1, s2 = standard deviation for sample 2, n1 = sample size 1 and n2 = sample size 2. Let us work through the stages of this formula. 1. 2. 3. 4. 5. 6. Square the first sample standard deviation (s1). Divide it by the first sample size (n1) – note the result, and call it ‘result 1’.

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Basic Statistics and Epidemiology: A Practical Guide, Fourth Edition by Antony Stewart

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