Understanding statistics / (Record no. 10873)

MARC details
000 -LEADER
fixed length control field 03489nam a22002657a 4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 0367580314
Terms of availability TZS 177,567/=
040 ## - CATALOGING SOURCE
Original cataloging agency MUL
Language of cataloging eng.
Description conventions AACR2
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.5 CHA
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name CHALMER, Bruce J.
245 ## - TITLE STATEMENT
Title Understanding statistics /
Sub Title Bruce J. Chalmer
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication London:
Name of publisher CRC Press,
Year of publication 2019.
300 ## - PHYSICAL DESCRIPTION
Number of Pages x, 326p. :
Other physical details ill. ;
Dimensions 27 cm.
500 ## - GENERAL NOTE
General note Includes Statpal (statistical package for microcomputers) PC-DOS version 5.0 for IBM PC and compatibles (M-iii-M89).
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes references and index (M-91-M-96)
505 ## - Formatted Contents
Formatted contents note Preface -- 1 Variables, Population, and Samples -- 1.1 Statistics is concerned with describing and explaining how things vary -- 1.2 Inferences about populations based on sample information are subject to error -- 1.3 Other forms of random samples include stratified and cluster sampling -- 2 Basic Ideals of Statistical Inference -- 2.1 There are two basic tasks of statistical inference -- 2.2 To evaluate degree of certainty, first consider all possible samples -- 2.3 To find degree of certainty, find the sampling distribution of the statistic -- 2.4 A handy way of representing a distribution is to draw a histogram -- 2.5 The larger the sample, the less spread out is the sampling distribution -- 2.6 So what? -- 3 Describing Data for a Single Variable -- 3.1 There are many ways of summarizing a set of data -- 3.2 Often we are interested in the entire population distribution -- 3.3 Some distributions can be approximated by mathematical functions -- 3.4 A histogram and frequency distribution are very useful descriptive tools -- 3.5 In a histogram, area represents relative frequency -- 3.6 The mean, median, and mode are useful for describing central tendency -- 3.7 The range and interquartile range are measures of variability -- 3.8 The standard deviation is the most commonly used measure of variability -- 3.9 The standard deviation is computed differently for samples versus populations -- 4 Some Distributions Used in Statistical Inference -- 4.1 Knowing the sampling distribution of a statistic allows us to draw inferences from sample data -- 4.2 The standard normal distribution is used to find areas under any normal curve -- 4.3 The binomial distribution is used for variables that count the number of yeses -- 4.4 To calculate binomial probabilities, we need to find the probability of each possible outcome -- 4.5 We next find the number of relevant outcomes and multiply it by the probability of each relevant outcome -- 4.6 Binomial probabilities can be computed from a general formula and are also available in tables -- 4.7 A binomial distribution with large n and moderate p is approximately normal -- 5 Interval Estimation -- 5.1 The standard error of a statistic is the standard deviation of its sampling distribution -- 5.2 The CLT can be applied to draw inferences about the population mean -- 5.3 If we know
520 ## - SUMMARY, ETC.
Summary, etc Introducing undergraduates to the vital concepts of statistics, this superb textbook allows instructors to include as much mathematical detail as may be suitable for their students. Featuring Statpal statistical software for the IBM PC®, the book contains study questions that help solidify students’ understanding.
546 ## - LANGUAGE NOTE
Language note eng.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Statistical inference
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Relationships between variables
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Regression methods
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Hypothesis testing
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Interval estimation
942 ## - ADDED ENTRY ELEMENTS
Item type Book
Holdings
Withdrawn status Lost status Damaged status Not for loan Permanent Location Current Location Date acquired Source of acquisition Full call number Accession Number Copy number Price effective from Koha item type
        Mzumbe University Main Campus Library Mzumbe University Main Campus Library 22/01/2025 MAK Solution (HEET) 519.5 CHA 0087222 1 14/05/2025 Book
        Mzumbe University Main Campus Library Mzumbe University Main Campus Library 22/01/2025 MAK Solution (HEET) 519.5 CHA 0087223 2 14/05/2025 Book
        Mzumbe University Main Campus Library Mzumbe University Main Campus Library 22/01/2025 MAK Solution (HEET) 519.5 CHA 0087224 3 14/05/2025 Book
        Mzumbe University Main Campus Library Mzumbe University Main Campus Library 22/01/2025 MAK Solution (HEET) 519.5 CHA 0087225 4 14/05/2025 Book
        Mzumbe University Main Campus Library Mzumbe University Main Campus Library 22/01/2025 MAK Solution (HEET) 519.5 CHA 0087226 5 14/05/2025 Book