Original PromptKey Terms
In statistics, we generally want to study a population. You can think of a population as a collection of persons, things, or objects under study. To study the population, we select a sample. The idea of sampling is to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population.
Because it takes a lot of time and money to examine an entire population, sampling is a
This learning resource introduces foundational concepts in statistics, focusing on key terminology that students must understand to engage with data effectively. The document covers crucial definitions such as population, sample, parameter, statistic, variable, and data, encouraging students to match terms with their accurate definitions. It includes a scenario that helps distinguish between statistics from a sample and parameters from a population, facilitating a deeper understanding of how to interpret data. Students are also tasked with sorting variables into categorical or numerical types and assessing the validity of calculating means. The document provides guided and independent practice for calculating means and proportions, ensuring that students can apply these skills to different datasets. Additionally, a creative challenge tasks students with designing their own study, reinforcing their understanding of population, sample, and measurement variables.