#### Course Overview

Elementary Statistics

- Descriptive statistics, collecting, summarizing, graphing data.
- Compute mean, variance, standard deviation, and relative standing of data.
- Fundamental probability, study of addition, multiplication, and complement rules.
- Probability distribution of random variables such as binomial distribution.
- Study of standard and nonstandard normal distribution.
- Study Central Limit Theorem, and its application.
- Use of normal distribution to approximate binomial distribution.
- Estimation of single parameters such as mean, proportion, variance, and standard deviation by constructing confidence interval.
- Hypothesis testing of single parameters such as mean, proportion, variance, and standard deviation by various methods.
- Hypothesis testing of two parameters such as mean, proportion, variance, and standard deviation by various methods.
- Study of correlation and regression, testing the correlation coefficient.
- Study of multinomial experiments, contingency tables, application of Chi-Square testing.
- Study of analysis of variance.