Graphical and numerical descriptive methods; Interpretation of probability; Basic ideas in random sampling methods and experimental design; Random error and sources of bias in surveys; Sampling distributions; Confidence intervals and significance tests for single mean, single proportion, and difference between two means or two proportions; Correlation; Descriptive and inferential simple linear regression. Throughout the course, students will interpret output from statistical software packages, including R and Minitab. Students may not count graduation credit for both MATH 105 and PSYC 210 . This course cannot be taken after receiving credit for MATH 110 or above. Proficiency credit for MATH 110 or MATH 111 may not be awarded after credit for MATH 105. (Quantitative)