Die Afrikaanse Protestantse Akademie NPC

Fundamental statistics for the behavioral sciences (Record no. 27821)

000 -LEADER
fixed length control field 06849cam a2200457Mc 4500
001 - CONTROL NUMBER
control field ocn768467466
003 - CONTROL NUMBER IDENTIFIER
control field OCoLC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20141203045442.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 140321s2011 cau 000 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 0840031920
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780840031921
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)768467466
Canceled/invalid control number (OCoLC)769054588
040 ## - CATALOGING SOURCE
Original cataloging agency DKDLA
Language of cataloging dan
Transcribing agency DKDLA
Modifying agency OCLCF
-- OCLCO
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.50243
Edition number 22
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Howell, David C.
9 (RLIN) 72350
245 10 - TITLE STATEMENT
Title Fundamental statistics for the behavioral sciences
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Belmont, Calif. :
Name of publisher, distributor, etc Wadsworth,
Date of publication, distribution, etc 2011
300 ## - PHYSICAL DESCRIPTION
Extent 652 s.
500 ## - GENERAL NOTE
General note 1. Introduction. The importance of Context. Basic Terminology. Selection among Statistical Procedures. Using Computers. Summary. Exercises. 2. Basic Concepts. Scales of Measurement. Variables. Random Sampling. Notation. Summary. Exercises. 3. Displaying Data. Plotting Data. Stem-and-Leaf Displays. Histograms. Reading Graphs. Alternative Methods of Plotting Data. Describing Distributions. Using Computer Programs to Display Data. Summary. Exercises. 4. Measures of Central Tendency. The Mode. The Median. The Mean. Relative Advantages of the Mode, the Median, and the Mean. Obtaining Measures of Central Tendency Using SPSS. A Simple Demonstration-Seeing Statistics. Summary. Exercises. 5. Measures of Variability. Range. Interquartile Range and Other Range Statistics. The Average Deviation. The Variance. The Standard Deviation. Computational Formulae for the Variance and the Standard eviation. The Mean and the Variance as Estimators. Boxplots: Graphical Representations of Dispersion and Extreme Scores. A Return to Trimming. Obtaining Measures of Dispersion Using SPSS. A Final Worked Example. Seeing Statistics. Summary. Exercises. 6. The Normal Distribution. The Normal Distribution. The Standard Normal Distribution. Setting Probable Limits on an Observations. Measures Related to z. Seeing Statistics. Summary. Exercises. 7. Basic Concepts of Probability. Probability. Basic Terminology and Rules. The Application of Probability to Controversial Issues. Writing Up the Results. Discrete versus Continuous Variables. Probability Distributions for Discrete Variables. Probability Distributions for Continuous Variables. Summary. Exercises. 8. Sampling Distributions and Hypothesis Testing. Two Simple Examples Involving Course Evaluations and Rude Motorists. Sampling Distributions. Hypothesis Testing. The Null Hypothesis. Test Statistics and Their Sampling Distributions. Using the No
500 ## - GENERAL NOTE
General note rmal Distribution to Test Hypotheses. Type I and Type II Errors. One- and Two-Tailed Tests. Seeing Statistics. A Final Worked Example. Back to Course Evaluations and Rude Motorists. Summary. Exercises. 9. Correlation. Scatter Diagrams. The Relationship Between Pace of Life and Heart Disease. The Covariance. The Pearson Product-Moment Correlation Coefficient(r). Correlations with Ranked Data. Factors that Affect the Correlation. Beware Extreme Observations. Correlation and Causation. If Something Looks Too Good to Be True, Perhaps It Is. Testing the Significance of a Correlation Coefficient. Intercorrelation Matrices. Other Correlation Coefficients. Using SPSS to Obtain Correlation Coefficients. Seeing Statistics. A Final Worked Example. Summary . Exercises. 10. Regression. The Relationship Between Stress and Health. The Basic Data. The Regression Line. The Accuracy of Prediction. The Influence of Extreme Values. Hypothesis Testing in Regression. Computer Solutions using SPSS. Seeing Statistics. Summary. Exercises. 11. Multiple Regression. Overview. A Different Data Set. Residuals. The Visual Representation of Multiple Regression. Hypothesis Testing. Refining the Regression Equation. A Second Example: Height and Weight. A Third Example: Psychological Symptoms in Cancer Patients. Summary. Exercises. 12. Hypothesis Testing Applied to Means: One Sample. Sampling Distribution of the Mean. Testing Hypotheses about Means When a is Known. Testing a Sample Mean When a is Unknown (The One-Sample t). Factors that Affect the Magnitude of t and the Decision about H0. A Second Example: The Moon Illusion. How Large is Our Effect?. Confidence Limits on the Mean. Using SPSS to Run One-Sample t tests. A Final Worked Example. Seeing Statistics. Summary. Exercises. 13. Hypothesis Tests Applied to Means: Two Related Samples. Related Samples. Student"s t Applied to Difference Scores. A S
500 ## - GENERAL NOTE
General note econd Example: The Moon Illusion Again. Advantages and Disadvantages of Using Related Samples. How Large an Effect Have We Found?. Confidence Limits on Changes. Using SPSS for t Tests on Related Samples
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Basic concepts ; Displaying data ; Measures of central tendency ; Measures of variability ; The normal distribution ; Basic concepts of probability ; Sampling distributions and hypothesis testing ; Correlation ; Regression ; Multiple regression ; Hypothesis tests applied to means: one sample ; Hypothesis tests applied to means: two independent samples ; Power ; On-way analysis of variance ; Factorial analysis of variance ; Repeated-measures analysis of variance ; Chi-square ; Nonparametric and distribution-free statistical tests ; Choosing the appropriate analysis ; Arithmetric review ; Symbols and notation ; Basic statistic formulae ; Data set ; Statistical tables
520 8# - SUMMARY, ETC.
Summary, etc David Howell's practical approach focuses on the context of statistics in behavioral research, with an emphasis on looking at data before jumping into a test. This provides students with an understanding of the logic behind the statistics: why and how certain methods are used rather than just doing techniques by rote. Students move beyond number crunching to discover the meaning of statistical results and how they relate to the research questions being asked. "Fundamental Statistics for the Behavioral Sciences, International Edition" contains an abundance of real data and research studies as a base and moves through an analysis of data
520 8# - SUMMARY, ETC.
Summary, etc Previous ed.: Belmont, Calif.: Thomson/Wadsworth, 2007
650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistiske metoder
9 (RLIN) 72351
650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Samfundsvidenskaber
9 (RLIN) 72352
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistics.
9 (RLIN) 72353
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistics
General subdivision Computer programs.
9 (RLIN) 72354
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Psychology
General subdivision Statistical methods.
9 (RLIN) 72355
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Social sciences
General subdivision Statistical methods.
9 (RLIN) 72356
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Psychology
General subdivision Statistical methods
Form subdivision Case studies.
9 (RLIN) 72357
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Social sciences
General subdivision Statistical methods
Form subdivision Case studies.
9 (RLIN) 72358
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Psychology
General subdivision Statistical methods.
Source of heading or term fast
9 (RLIN) 72359
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Psychometrics.
Source of heading or term fast
9 (RLIN) 72360
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Social sciences
General subdivision Statistical methods.
Source of heading or term fast
9 (RLIN) 72361
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistics.
Source of heading or term fast
9 (RLIN) 72362
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistics
General subdivision Computer programs.
Source of heading or term fast
9 (RLIN) 72363
655 #7 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Case studies
Source of term fast
9 (RLIN) 72364
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Non-Fiction
948 ## - LOCAL PROCESSING INFORMATION (OCLC); SERIES PART DESIGNATOR (RLIN)
h (OCLC) NO HOLDINGS IN ZAAPA - 4 OTHER HOLDINGS

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