![]() ![]() Large-sample confidence interval for a single proportion.1 Journal of Social Sciences & Humanities Journal of Social Sciences & Humanities A special edition devoted to issues in Journal of Social Sciences & Humanities VOL. 7.3 Other Topics in Comparing Distributions. Software approximation for the degrees of freedom. The common practice of testing hypotheses. Statistical inference is not valid for all sets of data. What statistical significance does not mean. The P-value versus a statement of significance. Two-sided significance tests and confidence intervals. Confidence interval for a population mean. Normal approximation for counts and proportions. ![]() Binomial distributions in statistical sampling. The binomial distributions for sample counts. 5.2 Sampling Distributions for Counts and Proportions. Beyond the Basics: Weibull distributions. 5.1 The Sampling Distribution of a Sample Mean. Rules for variances and standard deviations. Beyond the Basics: More laws of large numbers. Statistical estimation and the law of large numbers. 4.4 Means and Variances of Random Variables. Normal distributions as probability distributions. Independence and the multiplication rule. Assigning probabilities: equally likely outcomes. Assigning probabilities: finite number of outcomes. Behavioral and social science experiments. Beyond the Basics: Capture-recapture sampling. Beyond the Basics: Scatterplot smoothers. Adding categorical variables to scatterplots. Measuring center and spread for density curves. 1.4 Density Curves and Normal Distributions. Measuring spread: the standard deviation. The 1.5 X IQR rule for suspected outliers. 1.3 Describing Distributions with Numbers. Data analysis in action: Don't hang up on me. Categorical variables: bar graphs and pie charts. 1.2 Displaying Distributions with Graphs. ![]()
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