@book{27821,
	author = {Howell, David C.},
	title = {Fundamental statistics for the behavioral sciences},
	publisher = {Wadsworth,},
	year = {2011},
	address = {Belmont, Calif. :},
	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}
}