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Essential Statistics for the Pharmaceutical Sciences

Detalles Bibliográficos
Autor principal: Rowe, Philip
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Newark : John Wiley & Sons, Incorporated, 2015.
Colección:New York Academy of Sciences Ser.
Temas:
Acceso en línea:Texto completo

MARC

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020 |a 9781118913406 
020 |a 111891340X 
035 |a (OCoLC)1347028505 
082 0 4 |a 615/.1072  |q OCoLC  |2 23/eng/20230216 
049 |a UAMI 
100 1 |a Rowe, Philip. 
245 1 0 |a Essential Statistics for the Pharmaceutical Sciences  |h [electronic resource]. 
260 |a Newark :  |b John Wiley & Sons, Incorporated,  |c 2015. 
300 |a 1 online resource (434 p.). 
490 1 |a New York Academy of Sciences Ser. 
500 |a Description based upon print version of record. 
505 0 |a Intro -- Title Page -- Copyright Page -- Contents -- Preface -- Statistical packages -- About the website -- Part 1 Presenting data -- Chapter 1 Data types -- 1.1 Does it really matter? -- 1.2 Interval scale data -- 1.3 Ordinal scale data -- 1.4 Nominal scale data -- 1.5 Structure of this book -- 1.6 Chapter summary -- Chapter 2 Data presentation -- 2.1 Numerical tables -- 2.2 Bar charts and histograms -- 2.3 Pie charts -- 2.4 Scatter plots -- 2.5 Pictorial symbols -- 2.6 Chapter summary -- Part 2 Interval-scale data -- Chapter 3 Descriptive statistics for interval scale data 
505 8 |a 3.1 Summarising data sets -- 3.2 Indicators of central tendency: Mean, median and mode -- 3.3 Describing variability -- standard deviation and coefficient of variation -- 3.4 Quartiles -- Another way to describe data -- 3.5 Describing ordinal data -- 3.6 Using computer packages to generate descriptive statistics -- 3.7 Chapter summary -- Chapter 4 The normal distribution -- 4.1 What is a normal distribution? -- 4.2 Identifying data that are not normally distributed -- 4.3 Proportions of individuals within 1SD or 2SD of the mean -- 4.4 Skewness and kurtosis -- 4.5 Chapter summary 
505 8 |a 4.6 Appendix: Power, sample size and the problem of attempting to test for a normal distribution -- Chapter 5 Sampling from populations: The standard error of the mean -- 5.1 Samples and populations -- 5.2 From sample to population -- 5.3 Types of sampling error -- 5.4 What factors control the extent of random sampling error when estimating a population mean? -- 5.5 Estimating likely sampling error -- The SEM -- 5.6 Offsetting sample size against SD -- 5.7 Chapter summary -- Chapter 6 95% Confidence interval for the mean and data transformation -- 6.1 What is a confidence interval? 
505 8 |a 6.2 How wide should the interval be? -- 6.3 What do we mean by '95%' confidence? -- 6.4 Calculating the interval width -- 6.5 A long series of samples and 95% C.I.s -- 6.6 How sensitive is the width of the C.I. to changes in the SD, the sample size or the required level of confidence? -- 6.7 Two statements -- 6.8 One-sided 95% C.I.s -- 6.9 The 95% C.I. for the difference between two treatments -- 6.10 The need for data to follow a normal distribution and data transformation -- 6.11 Chapter summary -- Chapter 7 The two-sample t-test (1): Introducing hypothesis tests 
505 8 |a 7.1 The two-sample t-test -- an example of an hypothesis test -- 7.2 Significance -- 7.3 The risk of a false positive finding -- 7.4 What aspects of the data will influence whether or not we obtain a significant outcome? -- 7.5 Requirements for applying a two-sample t-test -- 7.6 Performing and reporting the test -- 7.7 Chapter summary -- Chapter 8 The two-sample t-test (2): The dreaded P value -- 8.1 Measuring how significant a result is -- 8.2 P values -- 8.3 Two ways to define significance? -- 8.4 Obtaining the P value -- 8.5 P values or 95% confidence intervals? -- 8.6 Chapter summary 
500 |a Chapter 9 The two-sample t-test (3): False negatives, power and necessary sample sizes 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
655 0 |a Electronic books. 
758 |i has work:  |a Essential statistics for the pharmaceutical sciences (Text)  |1 https://id.oclc.org/worldcat/entity/E39PCGKYMVfPPtY9CThPHgpDxC  |4 https://id.oclc.org/worldcat/ontology/hasWork 
776 0 8 |i Print version:  |a Rowe, Philip  |t Essential Statistics for the Pharmaceutical Sciences  |d Newark : John Wiley & Sons, Incorporated,c2015  |z 9781118913383 
830 0 |a New York Academy of Sciences Ser. 
856 4 0 |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=7104222  |z Texto completo 
938 |a ProQuest Ebook Central  |b EBLB  |n EBL7104222 
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