Paul Andersen shows you how to calculate the standard error of a data set. He starts by explaining the purpose of standard error in representing the precision of the data. The standard error is based on the standard deviation and the...

Paul Andersen explains how graphs are used to visually display data that is collected in experimentation. He describes five main types of graphs; line graph, scatter plot, bar graph, histogram and pie chart. He describes the important...

Paul Andersen explains how scientists analyze and interpret data. Data can be organized in a table and displayed using a graph. Students should learn how to present and evaluate data.

This video shows you how to create a Prophet model to predict where and how intense wildfires will be.

This video provides an introduction to basic statistical concepts, focusing on the use of bar charts as a visual tool for organizing and understanding data. It explains the components of a bar chart, such as the X and Y axes, and how...

A video entitled "Represent with Histogram" covering the process of constructing a histogram by hand.

Pupil outcome: I can present survey data using a range of data presentation techniques. Key learning points: - Fieldwork data can be presented using graphs and maps. - Where a comparison is needed, the data presentation technique needs...

Pupil outcome: I can use knowledge of decimal place value to solve problems in different contexts. Key learning points: - Knowledge of decimal place value can help to read the scale of a graph. - Knowledge of decimal place value can help...

Pupil outcome: I can use addition and subtraction to solve problems with multiples of 100 Key learning points: - Known facts help us to add and subtract multiples of 100 - Unitising can help us to add and subtract multiples of 100 -...

Pupil outcome: I can read the scales of graphs and measures using knowledge of the composition of 10,000 and 100,000 Key learning points: - Measuring scales can be interpreted by counting in steps of 1,000, 2,000, 2,500 and 5,000 -...

Pupil outcome: I can represent lengths and heights on a graph and use them to solve problems Key learning points: - Information about length and height from a table can be represented in a bar graph. - Information represented in a bar...

Pupil outcome: I can explain that 10,000 is composed of 5,000s, 2,500s and 2,000s Key learning points: - 10,000 is composed of two 5,000s - 10,000 is composed of 4 2,500s - 10,000 is composed of 5 2,000s

Pupil outcome: I can use knowledge of additive structure to solve problems. Key learning points: - Additive structures can be applied in a range of contexts. - Additive structure can be applied in the contexts of measure. - Additive...

Pupil outcome: I can use knowledge of positive and negative numbers to interpret graphs. Key learning points: - Negative data values can be recorded by extending the axes beyond zero

Pupil outcome: I can solve problems involving length. Key learning points: - Data can be collected to help solve a problem involving length. - When we collect data, we need to decide which units to measure in: mm, cm or m. - Representing...

Pupil outcome: I can compose one and ten million in different ways. Key learning points: - Unitising can be used to support the composition of 7- or 8- digit numbers. - If 250 is one quarter of one thousand, then 250,000 is one quarter...

Pupil outcome: I can carry out an investigation into friction and evaluate the results. Key learning points: - Scientists carry out investigations to measure and compare the amount of friction created between different surfaces. - The...

Pupil outcome: You can use knowledge of measure conversions to interpret graphs and tables Key learning points: - There are 1,000 g in a kg - There are 1,000 ml in a l - There are 1,000 mm in a m - Information relating to measures such...

This video enables students to graph the amount of salt water and fresh water in various reservoirs on Earth. Through the use of actual data, students will create their own line graphs. From graphs students will analyze the distrubtion...

This video demonstrates data visualization using the Matplotlib function and explains data cleaning by removing outliers and filling in missing values.
<
br/>
This clip is from the chapter "Random Forest Step-by-Step" of the series...

In this video, we will look at the level of detail expression, which alters how specific or broad a visualization can be, the levels of granularity that it controls, and apply aggregations to the current visualization.

In this lesson, you will learn to use expressions and aggregation in Tableau, forming individual data into a cluster group on specific measurements.

In this lesson, you will learn about a compilation of several views or charts with related information at one location. We will use views to create a simple dashboard.

Mr. Addit reviews the line plot, tally chart, pictogram, and bar graph. He presents word problems to solve using the data from each.