How do you choose the right statistical test? Start with your research question, choose the right graph, and the correct test becomes clear. https://about.dataclassroom.com/statistics-snippets/which-statistics-test

Webinar next week: Preparing for Symposiums, Poster Sessions and Science Research Competitions Being able to clearly explain your data analysis is a skill — and it's a skill that students can be trained in. July 21 from 4:15 - 5:00pm EST Register: https://about.dataclassroom.com/upcoming-workshops

The DataClassroom Interactive T-test gives a visual, intuitive understanding of what the math in the test is actually doing. Get a real feel for how the math works! https://about.dataclassroom.com/blog/demystifying-the-t-test #DataScience #TeachingStats #DataLiteracy #experimentaldesign

Using a DataClassroom simulation you can decide on your experimental variables, think more deeply about what to measure, and try out visualizations - all before you go to the lab! https://about.dataclassroom.com/blog/plan-an-experiment-with-simulation #DataScience #TeachingStats #DataLiteracy

It's really motivating that we can help those that are finding graphing and stats a challenge. #DataScience #TeachingStats #DataLiteracy

Using a DataClassroom simulation you can decide on your experimental variables, think more deeply about what to measure, and try out visualizations - all before you go to the lab! https://about.dataclassroom.com/blog/plan-an-experiment-with-simulation #DataScience #TeachingStats #DataLiteracy

In this simulation activity, students draw cards from a (possibly rigged) virtual deck. https://about.dataclassroom.com/ready-to-teach/stacked-deck As they collect more data, they watch their certainty shift. A perfect intro to hypothesis testing for any stats or science course.

There's an idea that students must use spreadsheets for everything - because “that’s what they’ll use in the workplace”. But scientists don’t much use spreadsheets for analysis. https://about.dataclassroom.com/blog/excel-in-the-classroom-go-one-better #DataScience #TeachingStats #DataLiteracy

Students producing great visualizations for their Science Fair displays... #DataScience #TeachingStats #DataLiteracy

In this Statistics Snippet, Aaron Reedy discusses how to properly interpret overlapping error bars. https://about.dataclassroom.com/blog/overlapping-error-bars

In this classroom-ready activity, students investigate real scientific data to explore how toxins have effected local wildlife off the coast of Georgia. https://about.dataclassroom.com/ready-to-teach/dolphins

Graph Lab is our free weekly graph reading activity designed to build one of the most important — and most underpracticed — skills in science: the ability to read a graph cold. Check out the first set: https://about.dataclassroom.com/blog/graph-lab

Webinar TONIGHT May 12 from 4:15pm - 5:00pm EST https://about.dataclassroom.com/upcoming-workshops This webinar helps educators teach visualization choices — when to use scatter plots, box plots, histograms, or line graphs — and how the shape of the data and the variable types drive the decision.

Webinar SOON May 12 from 4:15pm - 5:00pm EST https://about.dataclassroom.com/upcoming-workshops This webinar helps educators teach visualization choices — when to use scatter plots, box plots, histograms, or line graphs — and how the shape of the data and the variable types drive the decision.

The Bridge to R feature lets you build a visualization and run a hypothesis test in DataClassroom - and then generates nice, well-annotated code to do the same thing in R! Read more on the blog: https://about.dataclassroom.com/blog/bridge-to-r #DataScience #TeachingStats #DataLiteracy

Students starting to design their surveys? In this blog post we focus on the topics most relevant for making easily-analyzable data, like goals, using survey tools and planning your analysis FIRST! https://about.dataclassroom.com/blog/survey-design #DataScience #TeachingStats #DataLiteracy

This really motivates us! #DataScience #TeachingStats #DataLiteracy

For true data literacy we need to move on from the simple bar graph and use graphs that show you more. Why? Check out the blog: https://about.dataclassroom.com/blog/the-end-of-the-bar-graph #DataScience #TeachingStats #DataLiteracy

Take your own good time and see what the data are telling you... #DataScience #TeachingStats #DataLiteracy

WEBINAR TONIGHT: Using two Citizen Science datasets, Dr. Nigel Standish will walk through formatting, visualizing, and analyzing a "new-to-you" dataset. April 16 at 7PM ET https://about.dataclassroom.com/upcoming-workshops

We support students as they begin to work with their own data. Cool features are great, but what exactly can a tool assist with at the data import and preparation stages? https://about.dataclassroom.com/blog/scaffolding-for-student-data-preparation #DataScience #TeachingStats #DataLiteracy

In this classroom-ready activity, students investigate real scientific data to explore how toxins have effected fish consumption recommendations off the coast of Georgia. https://about.dataclassroom.com/ready-to-teach/catch-of-the-data

We're over the moon too! #DataScience #TeachingStats #DataLiteracy

In this classroom-ready activity, students investigate real citizen science data surrounding a town known for housing four superfund sites. https://about.dataclassroom.com/ready-to-teach/community-water-brunswick In partnership with Georgia Southern University.

UPCOMING WEBINAR: Using two Citizen Science datasets, Dr. Nigel Standish will walk through formatting, visualizing, and analyzing a "new-to-you" dataset. April 16 at 7PM ET https://about.dataclassroom.com/upcoming-workshops

DataClassroom makes error bars and box plots (box and whiskers) easily available and easy to play with. This encourages the student to think more about which story their data is telling them. https://about.dataclassroom.com/blog/adding-descriptive-stats #DataScience #TeachingStats #DataLiteracy

Use this real world dataset that goes back more than 1200 years to explore the effects of climate change on a seasonal natural phenomenon. https://about.dataclassroom.com/ready-to-teach/early-spring-in-kyoto

The ability to "play" with data is the very foundation of data literacy! #DataScience #TeachingStats #DataLiteracy

Exactly how does the age of a mango tree affect the quality of the fruit? https://about.dataclassroom.com/ready-to-teach/too-old-to-mango Researchers at the Indian Agricultural Research Institute (ICAR) in New Dehli sought to answer this question, and we have the data.

What can we learn from the “shape” of our data? What might we want to look at next? Have a play and find out! https://about.dataclassroom.com/blog/playing-with-data #DataScience #TeachingStats #DataLiteracy

An idea: if you make a carousel big enough, it could be both a kiddie ride AND a thrill ride. In this activity for physics students at any level, students assess the data - will it work? https://about.dataclassroom.com/ready-to-teach/carousel-thrill-ride

DataClassroom makes migration to coding-based analysis easy, allowing students to gain confidence along the way. #DataScience #TeachingStats #DataLiteracy

Why are data types so important to understand? Because they guide your thinking before and after your experiment. Analysis is so much easier with this context! https://about.dataclassroom.com/blog/understanding-data-types #DataScience #TeachingStats #DataLiteracy #experimentaldesign

Using real data, students can ask questions such as: Are earthquakes becoming more intense? Where do the most intense earthquakes tend to occur? Examine this worldwide dataset to find answers backed by evidence! https://about.dataclassroom.com/ready-to-teach/anticipating-earthquakes

Ease of use allows students to focus their attention on the actual analysis... #DataScience #TeachingStats #DataLiteracy

A great free resource from the folks at DS4E - learning progressions for the classroom! These progressions were created to help educators build data skills into learning experiences at every grade level. Explore the full framework at https://datasciencelearning.org

In this Digital Data Nugget, students answer the scientific question: How does temperature affect the flowering time of dame’s rocket? https://about.dataclassroom.com/ready-to-teach/springing-forward

Nice to get this feedback all the way from Switzerland! #DataScience #TeachingStats #DataLiteracy

This odd-looking data point: “It’s an outlier”. But what does that mean, and what should we do about it - if anything? https://about.dataclassroom.com/blog/outliers #DataScience #DataLiteracy @dsforeveryone

TONIGHT! In this hands-on DataClassroom webinar, you’ll use three powerful “tidy data” tools: Melt, Count, and Uncount. Learn a repeatable workflow for reshaping tables so students can graph data and run statistical tests with confidence. https://about.dataclassroom.com/upcoming-workshops

What gets our team up in the mornings! #DataScience #TeachingStats #DataLiteracy

Data Literacy includes knowing how to format data before analysis. A Melt function helps you convert data tables in a "wide" format to a more analyzable "tidy" or "long" format. https://about.dataclassroom.com/blog/melting-your-data #DataScience #TeachingStats #DataLiteracy

SOON: In this hands-on DataClassroom webinar, you’ll use three powerful “tidy data” tools: Melt, Count, and Uncount. Learn a workflow for reshaping tables so students can graph data and run statistical tests with confidence. March 10 at 4:15PM ET https://about.dataclassroom.com/upcoming-workshops

Glad to hear it! #DataScience #TeachingStats #DataLiteracy

Data Science and Data Literacy - what do they mean? Important terms for our students - whether they are going to be scientists or just well-informed citizens. Our take: https://about.dataclassroom.com/blog/data-science-vs-data-literacy #DataScience #DataLiteracy @ASA_SciPol @dsforeveryone

In this Digital Data Nugget, students answer the scientific question: How does the boldness of bluegill affect their survival and growth? Is there a tradeoff in bold and shy behaviors? https://about.dataclassroom.com/ready-to-teach/dangerously-bold

Impressive amount of improvement! #DataScience #TeachingStats #DataLiteracy

Ease of use helps both data literacy and the learning process. That energy that once went into getting that visualization made can now be freed up to actually think about the meaning of the exercise! https://about.dataclassroom.com/blog/quick-and-easy-graphing

In this activity, students easily make a graph and spend their time thinking about which is the better measure of central tendency to describe the salary of an NBA player: mean or median? https://about.dataclassroom.com/ready-to-teach/2019/10/23/this-activity-is-a-slam-dunk

OK that's pretty impressive...well done! #DataScience #TeachingStats #DataLiteracy