Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 0 |
| Since 2016 (last 10 years) | 0 |
| Since 2006 (last 20 years) | 1 |
Descriptor
| Data Interpretation | 2 |
| Learning Modules | 2 |
| Statistical Analysis | 2 |
| Case Studies | 1 |
| Community Colleges | 1 |
| Data | 1 |
| Data Analysis | 1 |
| Data Collection | 1 |
| Evidence | 1 |
| High Schools | 1 |
| Instructional Materials | 1 |
| More ▼ | |
Source
| Science Teacher | 1 |
Publication Type
| Guides - Classroom - Teacher | 1 |
| Journal Articles | 1 |
| Reports - Descriptive | 1 |
Education Level
| High Schools | 1 |
| Secondary Education | 1 |
Audience
| Practitioners | 1 |
| Teachers | 1 |
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkSmith, Amy; Molinaro, Marco; Lee, Alisa; Guzman-Alvarez, Alberto – Science Teacher, 2014
For students to be successful in STEM, they need "statistical literacy," the ability to interpret, evaluate, and communicate statistical information (Gal 2002). The science and engineering practices dimension of the "Next Generation Science Standards" ("NGSS") highlights these skills, emphasizing the importance of…
Descriptors: STEM Education, Statistics, Statistical Analysis, Learning Modules
Yang, Shouu-Chyuan – 1985
This lesson plan is designed to enable a student, after 50 minutes of instruction, to define the single sample chi-square test and explain the three conditions necessary to its proper use and the purpose of using it. The student will also be able to calculate and apply the single sample chi-square test in class according to the five steps with the…
Descriptors: Community Colleges, Data Interpretation, Instructional Materials, Learning Modules
