## Chapter 2 - Making Inferences and Justifying Conclusions

"The first two lessons focus on methods of collecting data to analyze a question or characteristic of interest, specific sampling methods, and the significance of randomization. Then, students use data from samples to estimate population means and proportions, and determine whether results are statistically significant. In the last lesson, students have the opportunity to complete a culminating project based on concepts from the chapter" Carnegie Textbook |

Lesson 2.1 - Sample Surveys, Observational Studies, and Experiments"Students analyze the characteristics of sample surveys, observational studies, and experiments and their role in role describing populations. Random samples, biased samples, and confounding are included in this lesson." - Carnegie Textbook Lesson 2.2 - Sampling Methods and Randomization"Students analyze various sampling methods and the important role of randomization in sampling." - Carnegie Textbook Lesson 2.3 - Using Confidence Intervals to Estimate Unknown Population Means"Students analyze margin of error for population means and proportions. They build on their previous knowledge of normal distribution to determine margin of error for population means or population proportions using confidence intervals. " - Carnegie Textbook |
Lesson 2.4 - Using Statistical Significance to Make Inferences About Populations"Students build on their previous knowledge of confidence intervals and margin of error to decide whether differences between population means or population proportions are statistically significant" - Carnegie Textbook Lesson 2.5 - Designing a Study and Analyzing the Results"In this lesson, students have the opportunity to complete a culminating project. It involves designing, conducting, analyzing, and summarizing results of a sample survey, observational study, or experiment, for a question of interest of their choice." - Carnegie Textbook |