1. Intro to Stats and Collecting Data

2. Describing Data with Tables and Graphs

3. Describing Data Numerically

4. Probability

5. Binomial Distribution & Discrete Random Variables

6. Normal Distribution and Continuous Random Variables

7. Sampling Distributions & Confidence Intervals: Mean

8. Sampling Distributions & Confidence Intervals: Proportion

9. Hypothesis Testing for One Sample

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Learn the toughest concepts covered in Statistics with step-by-step video tutorials and practice problems by world-class tutors 

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Statistics is the science of collecting and analyzing data to make informed decisions. Key concepts include population</ (the entire group of interest) and sample (a subset of the population). Data can be categorized as qualitative (attributes or labels) or quantitative (numerical measurements), which further divides into discrete (countable values) and continuous (measurable values). Understanding these distinctions is crucial for effective data analysis and interpretation.