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This course is designed to provide a basic understanding of descriptive and inferential statistics. Topics include the measures of central tendency, standard deviation, combinations and permutations, probability, sampling, and various distributions. Emphasis is on applications of statistical concepts.
Interpreting Categorical and Quantitative Data
Summarize, represent, and interpret data on a single count or measurement variable.
Summarize, represent, and interpret data on two categorical and quantitative variables.
Interpret linear models.
Making inferences and Justifying Conclusions
Understand and evaluate random processes underlying statistical experiments
Make inferences and justify conclusions from sample surveys, experiments and observational studies
Conditional Probability and the Rules of Probability
Understand independence and conditional probability and use them to interpret data
Use the rules of probability to compute probabilities of compound events in a uniform probability model
Using Probability to Make Decisions
Calculate expected values and use them to solve problems
Use probability to evaluate outcomes of decisions
1- Welcome to Statistics!
2- Introduction to Statistics
3- Descriptive Statistics
4- Graphs & Statistical Presentations
6- Probability Distributions
7- The Normal Distribution
8- Linear Regression
9- Final Project