Instructional Video6:19
Curated Video

Comparing Data Sets Using Comparative Box Plots

K - 5th
In this video, the teacher explains how to compare two data sets using comparative box plots. They discuss the elements of a box plot, such as the minimum, maximum, median, lower quartile, upper quartile, and interquartile range. The...
Instructional Video5:04
Curated Video

Choosing the Best Charts and Graphs to Represent Data

3rd - Higher Ed
Mr. Addit reviews the charts and graphs he had discussed in previous lessons. He then presents two data sets and models how to determine which chart or graph is the best representation for the given data.
Instructional Video4:42
Curated Video

Find and Compare Median and Range

9th - 12th
In this short math video we will find & compare median and range of two line plots to answer a standardized math test question. We will define median and range. We will understand that the median of a data set is found by putting the...
Instructional Video22:03
Curated Video

Comparing data sets in context

Pre-K - Higher Ed
Pupil outcome: I can use measures of central tendency and spread to compare two data sets in context. Key learning points: - Data can be hard to compare when presented in lists and tables. - Statistical summaries can be calculated to...
Instructional Video30:00
Curated Video

Comparing various representations of data sets

Pre-K - Higher Ed
Pupil outcome: I can use measures of central tendency and spread to compare two data sets in context. Key learning points: - Data can be hard to compare when presented in differing formats. - Being able to convert/interpret differing...
Instructional Video4:08
Curated Video

Analyzing Data: Comparing Sets with Outliers

K - 5th
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.
Instructional Video5:39
APMonitor

Data Engineering Overview

10th - Higher Ed
Data engineers consolidate and prepare data for visualization, cleansing, scaling, and data division for training, validation, and testing. Data Engineering: Part 1 Gathering data is the process of consolidating disparate data (Excel...
Instructional Video4:48
Curated Video

Comparing Data Sets Using Mean and MAD

9th - 12th
In this math video we will solve a math problem by comparing data sets using mean and MAD. We will understand that mean represents the average of a set of data. We will understand that MAD represents the Mean Absolute Deviation of a data...
Instructional Video4:57
Curated Video

Comparing Two Sets of Data: Measures of Center and Measures of Spread

K - 5th
Learn how to effectively compare and analyze data sets using statistical measures. In this video, we how to compare two sets of data using measures of center (median and mean) and measures of spread (standard deviation and interquartile...
Instructional Video5:52
Curated Video

Comparing Dot Plots Using Center and Spread

K - 5th
In this video, students learn how to compare two dot plots by analyzing the center and spread of the data sets. They are introduced to standard deviation as a measure of spread and are taught how to calculate it using a chart.
Instructional Video3:35
Curated Video

Using Mean to Compare Data on Line Plots

9th - 12th
In this video, the teacher explains how to compare data using line plots and means. The viewer is guided through finding the mean of each team's data, marking the averages on the line plots, and identifying the number of players who...
Instructional Video3:58
Curated Video

Comparing Data: Measures of Center and Spread

K - 5th
In this video, the teacher explains how to compare two sets of data using measures of center (median and mean) and measures of spread (standard deviation and IQR). The teacher emphasizes the importance of choosing the appropriate...
Instructional Video5:52
Curated Video

Analyzing Two Histograms: Comparing Center and Spread

K - 5th
This video demonstrates how to compare center and spread of histograms using the example of high school students' expected age of marriage compared to the age at which people 65 and over actually got married. The video explains how to...
Instructional Video19:51
Curated Video

Comparing summaries of data

Pre-K - Higher Ed
Pupil outcome: I can use the different measures of central tendency and spread to compare two sets of data. Key learning points: - Statistical summaries of data can be used to make inferences about that data. - Two sets of statistical...
Instructional Video5:00
Curated Video

Comparing Populations Using the Median

K - 5th
In this video, the teacher explains how to compare two populations using the median as a measure of central tendency. The concept of median is defined and its calculation is demonstrated. The video provides examples of comparing the...
Instructional Video8:18
Curated Video

Data Analytics using Python Visualizations - Area and Stacked-Area Charts

Higher Ed
This video explains area and stacked-area charts. This clip is from the chapter "Advanced Visualizations Using Business Applications" of the series "Data Analytics Using Python Visualizations".This section explains advanced...
Instructional Video3:52
Curated Video

Comparing Populations Using the Mean: Informal Analysis

K - 5th
In this lesson, students are taught that the mean is the balance point of a set of data and is calculated by summing all the data points and dividing by the number of data points. The lesson emphasizes the importance of accurately...
Instructional Video15:32
Curated Video

Explain how to use the mean to make comparisons between two sets of data

Pre-K - Higher Ed
Pupil outcome: I can explain how to use the mean to make comparisons between two sets of information Key learning points: - The mean value can be used to compare two different sets of data. - The mean is a single value which can...
Instructional Video4:21
Curated Video

Comparing Center and Spread of Texting Habits: Analyzing Box Plots

K - 5th
In this video, the teacher explains how to compare box plots by analyzing the center and spread of data sets. Using the example of high school students' daily text usage, the teacher demonstrates how to find the median and interquartile...
Instructional Video3:24
KnowMo

Understanding Quartiles and Box Plots for Data Analysis

12th - Higher Ed
This video explains the concept of quartiles and box plots, which are used to analyze and visualize data sets. The video also explains how to determine the quartiles using a cumulative frequency graph and how to draw a box plot to...
Instructional Video6:59
Curated Video

Constructing Two-Way Frequency Tables

K - 5th
This video is a tutorial on how to compare two sets of data at once using a two-way frequency table. The instructor uses a class of 31 students as an example to teach viewers how to identify the independent and dependent variables in a...
Instructional Video4:34
Curated Video

Comparing Range on Double Box Plots

9th - 12th
In this video, the teacher explains how to find the difference in the range of data for two different stores using a double box plot. They define range as the difference between the minimum and maximum values in a dataset. This video...
Instructional Video4:58
Curated Video

Comparing Populations: Range and Interquartile Range

K - 5th
In this video lesson, students will learn how to compare the consistency of two teams or populations over a period of time using the range and interquartile range. The range measures the difference between the highest and lowest values,...
Instructional Video5:39
Curated Video

Python 3: Project-based Python, Algorithms, Data Structures - Implement merge function - part 1

Higher Ed
Visual presentation and complexity analysis of the bubble sort algorithm This clip is from the chapter "Algorithms - Sort, performance, complexity and big O notation" of the series "Python 3: Project-based Python, Algorithms, Data...

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