Welcome to our course blog for Math 306, Introduction to Statistical Methods. During May Term (2013), students created posts to explain various statistical concepts and linked to websites containing useful information about statistical methods. By the end of the month, this blog became our own “textbook” using information already out there on the web. We hope this can serve as a resource for future stats students.
Anscombe's quartet Average Bar graph Box-and-whisker plot Box plot Boxplot Chi-squared test Clustered bar graph Coefficient Coefficient of determination Comparative boxplot Conditions Confidence interval Confidence interval for paired means Confidence interval for two independent proportions Contingency table Correlation Correlation coefficient Crosstabulation Definition descriptive statistics Errors and residuals Frequency distribution Frequency table Heteroscedasticity Histogram Homoscedasticity Hypothesis test Hypothesis test for a single proportion Hypothesis test for two independent means Hypothesis Tests independent means Interquartile range IQR Least-squares regression line Line of best fit Matched pairs Mean Mean value Measure of center Measure of spread Median One binary categorical and one quantitative variable One categorical and one quantitative variable One categorical variable One quantative variable One quantitative variable Outlier Paired means Parallel boxplot Pearson Pearson's correlation coefficient (r) Pearson correlation coefficient (r) Percentile Pie chart Population mean Prediction Quartile r R-squared Range Residual plot Residuals Robust Sample mean Scatter plot Scatterplot Side-by-side boxplot Student t-distribution Summary statistics t-test Two-way table Two categorical variables Two proportions Two quantitative variables