You searched for:

Subject
:
Teachers — Training of
x
Subject
:
Mathematical Analysis
x
9 entries
Refine search
Browser-rss

Search Results:

Number
Remove Star
Title
Format
Year
Location & Availability
Call #
1.

Teaching Math: Grades 3-5 [electronic resource]

Loading...
Online course provides a greater understanding of the National Council of Teachers of Mathematics Process standards, how to apply them in the classroom, and how to integrate them with content goals.
Online
2002
2.

Teaching Math: Grades 6-8 [electronic resource]

Loading...
Online course provides a greater understanding of the National Council of Teachers of Mathematics Process standards, how to apply them in the classroom, and how to integrate them with content goals.
Online
2002
3.

Teaching Math: Grades 9-12 [electronic resource]

Loading...
Online course provides a greater understanding of the National Council of Teachers of Mathematics Process standards, how to apply them in the classroom, and how to integrate them with content goals.
Online
2002
4.

Teaching Math: Grades K-2 [electronic resource]

Loading...
Online course provides a greater understanding of the National Council of Teachers of Mathematics Process standards, how to apply them in the classroom, and how to integrate them with content goals.
Online
2002
5.

Data Organization and Representation [electronic resource]

Loading...
Focuses analyzing data and interpreting results. Shows how to: represent data in a line plot, in a frequency table, and in a cumulative frequency table; use intervals to answer a statistical question; determine the median of a set of data; and, determine relative frequencies and create bar graphs of data. Stresses the importance of drawing out patterns. Concludes with a segment on weather forecasting and how it uses interpretation of statistical data and recognition of patterns.
Online
2001
6.

Describing Distributions [electronic resource]

Loading...
Introduces more advanced or complex data types. Investigates some approaches to grouping data in graphs and tables, and examines different types of statistical answers to questions based on these grouped representations. Shows how to: organize data in a stem and leaf plot, group the data from a stem and leaf plot, complete a frequency and relative frequency table for grouped data, create a frequency and relative frequency histogram for grouped data, and complete a cumulative frequency and relative cumulative frequency table for grouped data. Concludes with a shoe company that groups data as part of its production process.
Online
2001
7.

The Five-Number Summary [electronic resource]

Loading...
Explores how dividing data into groups can help provide other types of answers to statistical questions. Shows how to understand the median as the value that divides the ordered data into two groups, with the same number of data values (approximately one-half) in each group. Explains quartiles as the values that divide the ordered data into four groups, with the same number of data values (approximately one-fourth) in each group. Investigates the concept of quartiles using several different representations. Summarizes an entire data set with a five-number summary and with a box plot. Concludes with a segment calculating regional salary comparisons.
Online
2001
8.

Variation About the Mean [electronic resource]

Loading...
Investigates another common numerical summary, the mean. Provides several ways to describe the degree of variation in data, based on how much the data values vary from the mean. Explains the mean as an indicator of fair allocation. Explores deviations of data values from the mean. Describes the mean as the "center" of a data set and shows how to measure variation about the mean. Concludes with a segment on whether a new program to conquer water pollution in Boston is working.
Online
2001
9.

Bivariate Data and Analysis [electronic resource]

Loading...
Studies statistical problems by collecting and analyzing data on two variables, known as bivariate analysis. Shows how to: graph bivariate data in a scatter plot, divide the points in a scatter plot into four quadrants,summarize bivariate data in a contingency table, and model linear relationships. Explores the least squares line. Concludes with using statistics in anthropological studies.
Online
2001