Chapter 3 · Displaying and Summarizing Quantitative Data
Section 3.9Descriptive Statistics with the TI-84
Section 3.9: Descriptive Statistics with the TI-84
The TI-84 calculator is a powerful tool for computing descriptive statistics quickly and accurately. In this section, you'll learn how to enter data using lists or frequency tables and retrieve key statistics — including the mean, median, standard deviation, and five-number summary — in just a few keystrokes.
Summary
Using technology to compute statistics efficiently is a core skill in modern data analysis — understanding what the calculator outputs, and when each statistic is appropriate, is just as important as knowing how to compute it by hand.
The Real World Statistics Learning Progression
Each section follows the same learning progression: understand the concept, practice the skill, think like a statistician, then apply your learning to authentic data.
Learn This Section
Whether learning independently or teaching a class, the learning path below is designed to help students master the concepts in this section. Page references correspond to the Real World Statistics instructional system.
Need Extra Support? If you'd like additional guidance while working through the practice questions, explore the Worked Solutions Manual for step-by-step solutions and explanations.
From Learners to Statisticians
Examples of authentic statistical work supported by this section include:
- Using the TI-84 to compute descriptive statistics for a dataset of student test scores, then interpreting the mean, median, and standard deviation to describe the class's overall performance and identify any unusual results (e.g., a teacher preparing a data-driven progress report for a department meeting).
- Entering frequency table data into the TI-84 to efficiently compute the five-number summary for a large grouped dataset, then using those values to construct a box plot and assess the spread of the distribution (e.g., a public health analyst summarizing patient age distributions from a clinical study).
- Comparing the sample standard deviation (Sx) and population standard deviation (σx) outputs to determine which measure is appropriate for a given research context, and explaining the distinction in a written statistical report (e.g., a student researcher analyzing survey data from a sample of participants).
You may use these ideas to design your own investigations or explore the Real World Statistics System.
Enrichment: Role-Based Statistical Analysis Tasks
Enrichment tasks place students in the role of a statistician working on real research problems, where they evaluate data, justify decisions, and communicate findings clearly. Each section includes multiple enrichment tasks, including one with a model response that demonstrates statistical reasoning in context, showing how evidence is evaluated, decisions are justified, and conclusions are communicated. This serves as a bridge to working with authentic datasets and independent statistical investigation within each chapter.
Available in the Interactive eBook at the end of the section (page 111) and in the Appendix of the Print Book (page 401).
Teaching with Real World Statistics?
These structured learning paths — including Enrichment tasks and Chapter Datasets — can be adapted or copied directly into Canvas, Google Classroom, Schoology, and other learning management systems to simplify lesson planning and student assignments.
Part of the Real World Statistics instructional system — bringing together print, interactive learning, videos, datasets, enrichment, worked solutions, and teacher resources.