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Bozeman Science
AP Biology Practice 5 - Analyze Data and Evaluate Evidence
In this video Paul Andersen explains how scientists analyze data and evaluate evidence. He starts with a description of data and how it must be properly displayed. He then describes types of data in each of the four big ideas. He...
Curated Video
Analyzing Data on a Dot Plot
In this video, the teacher explains how to draw inferences by analyzing data on a dot plot. Using the example of two class periods' study times for a biology final, the teacher emphasizes the importance of considering multiple aspects of...
Curated Video
Analyzing Data and Drawing Inferences
In this video, students learn how to draw inferences by analyzing data. They are presented with statistics from a recent 5K race between the track team and the cross country team, and are guided through the process of interpreting the...
Visual Learning Systems
Scientific Method: Recording and Analyzing Data
Upon viewing the Scientific Method video series, students will be able to do the following:
Appreciate the importance of science and scientific discoveries in improving quality of life.
Understand that the scientific method is one of...
Curated Video
Checking for Independence: Analyzing Data in a Two-Way Table
In this video, the teacher explains how to use math to check whether two events are independent. Using the example of animal crackers, the teacher demonstrates how to analyze data in a two-way table to determine the independence between...
Curated Video
Review for You: Representing and Analyzing Data
Mr. Addit reviews multiple ways to represent and analyze data, including tallies, bar graphs, pictographs, and line plots.
Curated Video
Analyzing Data: Comparing Sets with Outliers
In this video, the teacher explains how to compare two sets of data when there is an outlier. They discuss the use of measures of center and measures of spread, such as median and interquartile range, to analyze the data.
Visual Learning Systems
Observations and Data: Analyzing Data
One of the most important processes in science is the art of observing. This video highlights different ways observations are made, emphasizing methods by which students can observe their world. Different types of data, how data is...
Bozeman Science
Data
In this video Paul Andersen shows you how to analyze and interpret data in a mini-lesson on Data. Two examples are included in the video and two additional examples are included in the linked thinking slides. <br/>
Curated Video
Julia for Data Science (Video 12)
Julia is an easy, fast, open source language that if written well performs nearly as well as low-level languages such as C and FORTRAN. Its design is a dance between specialization and abstraction, providing high machine...
Curated Video
Julia for Data Science (Video 14)
Julia is an easy, fast, open source language that if written well performs nearly as well as low-level languages such as C and FORTRAN. Its design is a dance between specialization and abstraction, providing high machine...
Curated Video
Julia for Data Science (Video 13)
Julia is an easy, fast, open source language that if written well performs nearly as well as low-level languages such as C and FORTRAN. Its design is a dance between specialization and abstraction, providing high machine...
Curated Video
Julia for Data Science (Video 15)
Julia is an easy, fast, open source language that if written well performs nearly as well as low-level languages such as C and FORTRAN. Its design is a dance between specialization and abstraction, providing high machine...
Curated Video
Julia for Data Science (Video 24)
Julia is an easy, fast, open source language that if written well performs nearly as well as low-level languages such as C and FORTRAN. Its design is a dance between specialization and abstraction, providing high machine...
Curated Video
Julia for Data Science (Video 8)
Julia is an easy, fast, open source language that if written well performs nearly as well as low-level languages such as C and FORTRAN. Its design is a dance between specialization and abstraction, providing high machine...
Curated Video
Julia for Data Science (Video 11)
Julia is an easy, fast, open source language that if written well performs nearly as well as low-level languages such as C and FORTRAN. Its design is a dance between specialization and abstraction, providing high machine...
Curated Video
Julia for Data Science (Video 2)
Julia is an easy, fast, open source language that if written well performs nearly as well as low-level languages such as C and FORTRAN. Its design is a dance between specialization and abstraction, providing high machine...
Curated Video
Julia for Data Science (Video 9)
Julia is an easy, fast, open source language that if written well performs nearly as well as low-level languages such as C and FORTRAN. Its design is a dance between specialization and abstraction, providing high machine...
Curated Video
Julia for Data Science (Video 18)
Julia is an easy, fast, open source language that if written well performs nearly as well as low-level languages such as C and FORTRAN. Its design is a dance between specialization and abstraction, providing high machine...
Curated Video
Julia for Data Science (Video 6)
Julia is an easy, fast, open source language that if written well performs nearly as well as low-level languages such as C and FORTRAN. Its design is a dance between specialization and abstraction, providing high machine...
Curated Video
Julia for Data Science (Video 5)
Julia is an easy, fast, open source language that if written well performs nearly as well as low-level languages such as C and FORTRAN. Its design is a dance between specialization and abstraction, providing high machine...
Curated Video
Julia for Data Science (Video 10)
Julia is an easy, fast, open source language that if written well performs nearly as well as low-level languages such as C and FORTRAN. Its design is a dance between specialization and abstraction, providing high machine...
Curated Video
Julia for Data Science (Video 1)
Julia is an easy, fast, open source language that if written well performs nearly as well as low-level languages such as C and FORTRAN. Its design is a dance between specialization and abstraction, providing high machine...
Curated Video
Julia for Data Science (Video 23)
Julia is an easy, fast, open source language that if written well performs nearly as well as low-level languages such as C and FORTRAN. Its design is a dance between specialization and abstraction, providing high machine...
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