ap stats

✍️ Free Response Questions (FRQs)

👆 Unit 1 - Exploring One-Variable Data

✌️ Unit 2 - Exploring Two-Variable Data

🔎 Unit 3 - Collecting Data

🎲 Unit 4 - Probability, Random Variables, and Probability Distributions

📊 Unit 5 - Sampling Distributions

⚖️ Unit 6 - Inference for Categorical Data: Proportions

😼 Unit 7 - Inference for Qualitative Data: Means

✳️ Unit 8 Inference for Categorical Data: Chi-Square

📈 Unit 9 - Inference for Quantitative Data: Slopes

🧐 Multiple Choice Questions (MCQs)

✏️ Blogs

Best Quizlet Decks for AP Statistics

- Unit 1 Key Terms (15-23%): Exploring One-Variable Data
- Unit 2 Key Terms (5-7%): Exploring Two-Variable Data
- Unit 3 Key Terms (12-15%): Collecting Data
- Unit 4 Key Terms (10-20%): Probability, Random Variables, and Probability Distributions
- Unit 5 Key Terms (7-12%): Sampling Distributions
- Unit 6 Key Terms (12-15%): Inference for Categorical Data: Proportions
- Unit 7 Key Terms (10-18%): Inference for Quantitative Data: Means
- Unit 8 Key Terms (2-5%): Inference for Categorical Data: Chi-Squared
- Unit 9 Key Terms (2-5%): Inference for Quantitative Data: Slopes
- Closing Thoughts

#anticipatingpatterns

#exploringdata

⏱️ **1 min read**

written by

kanya shah

June 3, 2020

Everyday, we see things that happen simultaneously to the point we question the possibility of that event happening again. We simulate that event over and over in our heads, looking at all the possible outcomes. We conclude sometimes that somethings happen at random as the overall probability of that event is extremely **low**.

We can turn to statistics and **quantify** the actuality of some real life experiences that we unconsciously or consciously question.

Courtesy of Giphy

Learning how to differentiate between **random** and **non-random** patterns is important. Even if there is a pattern, that doesn’t always make the data **unbiased** or reliable enough to build a conclusion. Patterns don’t always mean that the data variation isn’t random. That doesn't exclude **error** at all.

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