Middle School Scientific Inquiry Interactive Videos

Explore the essential steps of the scientific method within the context of scientific inquiry. Gain an understanding of hypothesis formation, experiment design, and the peer review process, along with how to effectively structure scientific research for publication. Develop skills in analysing the structure and purpose of different sections in a scientific paper.

Explore the scientific method's fundamental steps, from identifying research problems to analyzing experimental data. Acquire skills in designing scientific experiments and drawing meaningful conclusions, enhancing problem-solving capabilities in biology.

Learn about the principles of the scientific method by focusing on conducting systematic and logical experiments, formulating hypotheses, and analyzing data. Gain a deeper understanding of experimental processes and strengthen critical thinking and data interpretation skills.

Learn to interpret survey results and comprehend percentages, ratios, as well as graphical data presentations. Develop skills in calculating percentages, analyzing survey data, and extracting insights from graphical data.

Develop fundamental data analysis skills by focusing on visualization techniques and graph interpretation. Gain an understanding of key concepts such as correlation, appropriate graph selection, and data organization. These skills will equip learners to effectively interpret scientific data in real-world contexts.

Understanding survey data involves examining it through the principles of probability, including conditional probabilities and distribution analysis. Learners develop skills in interpreting survey results and applying probability to real-life situations, which enhances their data-driven decision-making capabilities.

Understand how to interpret box plots to analyze data distributions and variability. Acquire skills in examining range, interquartile range, and comparing data sets to draw insightful conclusions.

Examine the relationship between sales data and linear functions to interpret data trends and develop mathematical models. Learn to calculate and forecast sales growth, enhancing analytical skills in data analysis.

Develop proficient data interpretation skills by exploring dot plots and their significance in data analysis. Gain expertise in identifying key characteristics such as mean, median, and mode, while deriving insights from data distribution.

Master foundational statistical measures such as mean, median, mode, variance, and range to enhance data analysis skills. This knowledge enables accurate data interpretation and application of statistical principles to real-world scenarios.

Explore fundamental concepts in data analysis, focusing on statistical measures such as median, mode, and range, and their practical applications in answering real-world questions. Develop the ability to define key statistical terms and demonstrate practical knowledge by calculating measures of central tendency and dispersion within a data set.

Explore essential skills in data analysis, focusing on calculating mean and median, and developing data visualization techniques such as histograms and stem-and-leaf plots. Enhance understanding of data representation, enabling accurate interpretation of data sets and effective presentation of data insights.

Learn about the application of drones in the analysis of unusual electromagnetic phenomena. Gain understanding of how effective drones are in collecting atmospheric data and develop interpretation skills for complex data readings related to these phenomena.

Analyze how exercise habits impact weight by examining scatter plots and interpreting data. Gain insights into visualization techniques and develop analytical skills essential for understanding health-related trends.

Gain proficiency in organizing and interpreting categorical data by employing two-way data tables, particularly in analyzing students' sports preferences. Develop the ability to classify data across multiple variables and accurately analyze frequency counts, thereby enhancing data interpretation skills.

Explore data visualization techniques by developing skills in creating dot plots, histograms, and box plots from organized datasets. Gain the ability to interpret various data representations and analyze data distributions, enhancing proficiency in data analysis and understanding of statistical concepts.

Examine the core principles of mathematical thought by applying data visualization techniques for both qualitative and quantitative data analysis. This approach develops the ability to create and interpret data tables and graphs, fostering a deeper understanding of key computational concepts.

Learn the fundamental concepts of constructing and analyzing histograms to enhance data interpretation skills by focusing on data range, interval determination, and point distribution. Develop the ability to select appropriate intervals and understand histogram symmetry, ultimately advancing statistical analysis capabilities.

Focuses on key aspects of data visualization by examining various types of graphs and their appropriate applications in scientific data analysis. Enhances skills in interpreting data through graphs and underscores the significance of data analysis in drawing meaningful scientific conclusions.

Master Excel functionalities to increase productivity by effectively using data analysis tools and navigating features. Develop skills to execute intricate data operations and optimize your workflow, ensuring proficiency in crucial Excel capabilities.