This lesson shows how to use equivalent fractions to determine an unknown in a proportion. [Developmental Math playlist: Lesson 101 of 196]
This lesson shows the need for solving for proportions within a word problem. [Developmental Math playlist: Lesson 102 of 196]
This lesson shows how to use equivalent fractions to understand proportions. [Developmental Math playlist: Lesson 100 of 196]
Presents fundamental concepts in applied probability, exploratory data analysis, and statistical inference, focusing on probability and analysis of one and two samples. Topics include discrete and continuous probability models; expectation and variance; central limit theorem; inference, including hypothesis testing and confidence for means, proportions, and counts; maximum likelihood estimation; sample size determinations; elementary non-parametric methods; graphical displays; and data transformations.
Presents fundamental concepts in applied probability, exploratory data analysis, and statistical inference, focusing on probability and analysis of one and two samples. Topics include discrete and continuous probability models; expectation and variance; central limit theorem; inference, including hypothesis testing and confidence for means, proportions, and counts; maximum likelihood estimation; sample size determinations; elementary non-parametric methods; graphical displays; and data transformations.
The Proportioner was developed to support your learning and your students’ learning of proportion. It allows you to manipulate images and compare their dimensions to the dimensions of other images.
Using the Proportioner, you can:
•Specify image dimensions graphically, numerically or using a scale factor
•Duplicate images and modify copies for comparisons
•Use one image to "paint" another
Tests of statistical hypotheses are a very important topic, let introduce it through an illustration. Suppose a manufacturer of a certain printed circuit observes that about p=0.05 of the circuits fails.
