RESM 615 Statistics
An introduction to descriptive and inferential statistics. Concepts covered in this course include measures of frequency, central tendency, and variation, transformed scores, normal distribution, central limit theorem, hypotheses testing, statistical power, and sampling. Students should be familiar with different kinds of distributions such as t, f, (ANOVA) and chi-square and other basic measurements in statistics such as bivariate correlation (Pearson product moment correlation coefficient), Spearman rank order correlation coefficient, simple regression, and introduction to multiple regression. The course also includes introduction to nonparametric statistics. Students are expected to develop proficiency in using a major statistical package. Computer laboratory and software fees apply. If more than 5 years have elapsed since RESM 615 Statistics or its equivalent was taken, knowledge of statistics must be reviewed through audit of this course or by preparation for and taking of a proficiency examination before taking courses requiring Statistics as a prerequisite.
Teacher: Sam Gaikwad