Rounding whole numbers, 9,999 or less - Mathematics Instructional Plan
Which is Closer? Estimating and Finding Sums of Fractions Mathematics Instructional Plan
Explore size estimation in one, two and three dimensions! Multiple levels of difficulty allow for progressive skill improvement.
The original module, created by Eureka Math, consisted of 19 lessons. It has been altered to include the first 10 lessons involving place value of multi-digit whole numbers, comparing multi-digit whole numbers, and rounding multi-digit whole numbers. Students work with large numbers using familiar units (hundreds and thousands) and develop their understanding of millions by building their knowledge of the pattern of times ten in the base ten system on the place value chart. They learn to recognize that each sequence of three digits is read as hundreds, tens, and ones followed by the naming of the corresponding base thousand unit (thousand, and million).
Hands on Chemistry is a resource designed for use in traditional, online, and blended high school Chemistry classrooms. It was developed by Blue Ridge PBS in collaboration with Virtual Virginia. In this video, Chemistry teacher Fred Mitchell demonstrates measurement, estimation, prediction, scale, and the metric system.
Keywords: using whole numbers, principles of estimation, meters, decimeters, centimeters, millimeters
Meets VA SOL CH.1 a-f
Students will find helpful resources for learning and practicing math skills and processes in this eMediaVA collection.
This collection has resources organized by grade level teachers can use to teach math.
This resource consists of a Java applet and expository text. The applet simulates a random sample from a normal distribution, and computes standard point estimates of the distribution mean and standard deviation. The bias and mean square error are also computed.
This video is part of the Learn and Grow with WHRO TV series. Watch Amanda Knighton teach about estimating to find the sum or difference of a math problem.
This resource consists of a Java applet and expository text. The applet simulates a random sample from the uniform distribution on the interval [0,a], and computes standard point estimates of a. The bias and mean square error are also computed.