Essential Statistics for the Behavioral Sciences

Heiman offers a concise overview of what is useful in statistic, with an emphasis for the reader who is majoring in the behavioural sciences. There is no proving of theorems or lemmas, like there would be in a book for maths majors. Instead, the text starts at an elementary level, describing various types of graphs. Along with metrics like the mean, median and standard deviation. Hopefully, you've also encountered this in high school. It goes more advanced from there. Always geared towards relevancy if you are designing an experiment. Often with human subjects. Hence there are issues of sampling from an underlying population. This should be a random sample, and there is an associated sampling error. ANOVA and Chi square tests are covered. For many situations with multiple independent variables, these are very useful.