Skip Navigation Links
     
   
 Amsco Integrated Algebra I: Bivariate Statistics
This is a free lesson from our course in Amsco's Integrated Algebra
 
   
This lesson explains concepts of bivariate statistics or two valued statistics. In bivariate statistics, a relation between two variables or different sets of data is studied. E.g.  A study conducted to see if there were a relationship between the weight and height of school students. Since we are working with two variables (weight and height), we would be working with bivariate data. The data can be graphed on a scatter plot. The data may have positive, negative, or no correlation. Data that has positive or negative linear correlation can be represented by a line of best fit. Further you'll learn how to investigate the relationship or correlation between the variables based on their scatter plots, considering five cases of two-valued statistics:
CASE 1:The data has positive linear correlation. The points in the scatter plot approximate a straight line that has a positive slope. (More text below video...)
<h2> Bivariate Statistics</h2> <p> Bivariate Statistics,math,algebra,video,math help,quizzes,practice questions,formula,amsco,intergrated,algebra1,probability</p> <p> explains what is Bivariate Statistics.</p>
People who saw this lesson also found the following lessons useful:
Collecting Data
The Histogram
Measures of Central Tendency and Grouped Data

(Continued from above) CASE 2:The data has moderate positive correlation. The points in a scatter plot do not lie in a straight line but there is a general tendency for the values of y to increase asthe values of x increase.
CASE 3:The data has no correlation.
CASE 4:The data has moderate negative correlation. The points in a scatter plot do not lie in a straight line but there is a general tendency for the values of y to decrease as the values of x increase.
CASE 5:The data has negative linear correlation. The points in the scatter plot approximate a straight line that has a negative slope.
Then you can walk through the basic cocepts of line of best fit and line of regression i.e. when it makes sense to consider one variable as the independent variable and the other as the dependent variable, and the data has a linear correlation(even if it is only moderate correlation), the data can be represented by a line of best fit. The line of regression is a special case of best fit which minimizes the square of the vertical distances to each data point. The video below will explain in detail with the help of several examples.

 
   

As many of you know, Winpossible's online courses use a unique teaching method where an instructor explains the concepts in any given area to you in his/her own voice and handwriting, just like you see your teacher explain things to you on a blackboard in your classroom. This particular lesson includes the teacher's instruction, practice questions as well as end-of-lesson quizzes for practice. As we mentioned above, you can enroll in our online course in Trigonometry by clicking here.

The format of Winpossible's online courses is also very suitable for teachers who are using an interactive whiteboard such as Smartboard on Promethean in their classrooms, because the course lessons can be easily displayed on such interactive whiteboards. Volume pricing is available for schools interested in our online courses. For more information, please contact us at educators@winpossible.com.

 
       
     
 Copyright © Winpossible, 2010 - 2011
Best viewed in 1024x768 & IE 5.0 or later version