If during a certain time interval a mobile operator takes data of delivery times of each message sent through the network. Can the data be represented using a histogram?Answer: Yes. Suppose there are 30 000 messages sent through the network in the time interval concerned. Class-intervals can be constructed to represent the frequency with which the messages fall within different classes. Thus a histogram will be suitable for representing the data.
This module provides an overview of Descriptive Statistics: Histogram as a part of Collaborative Statistics collection (col10522) by Barbara Illowsky and Susan Dean.
This module provides homework questions related to lessons on descriptive statistics. The original module by Dr. Barbara Illowsky and Susan Dean has been modified by Roberta Bloom. Some homework questions have been changed and/or added.
This module provides students with opportunities to apply concepts related to descriptive statistics. Students are asked to take a set of sample data and calculate a series of statistical values for that data.
Harry keeps track of the number of times he sneezes in certain locations to try to diagnose the cause of his allergy in this video segment from Cyberchase.
This course develops logical, empirically based arguments using statistical techniques and analytic methods. It covers elementary statistics, probability, and other types of quantitative reasoning useful for description, estimation, comparison, and explanation. Emphasis is placed on the use and limitations of analytical techniques in planning practice. This course is required for and restricted to first-year M.C.P. students.
In this video from Cyberchase, Bianca uses data on past shoe sales to help her decide what quantities of each size she should order in the next shipment.
The purpose of this module is to assist histogram design. The module presents an integral in terms of the Riemann sum equation for finding the area of a data-set. It builds on an associative technique (from a discrete to continuous function) suggested by the sub-interval in the delta-x and bin number in the histogram. The resulting area spectrum contains possible areas and an actual area for a data-set. The module concludes with statements on the possible optimization of the integral by calculating the actual area. Building a histogram in this way may imply compression qualities for variance in the data-set frequency distribution.
Middle level students will collect times as they run the 100 meter dash. These times will be depicted through various graphic representations (bar, circle, histogram). Times will be compared to current world records for the 100 meters. Students will decide which Math class ran fastest and support that choice in short essay form. They will also try to determine the faster gender based on the data collected. This lesson plan is a unit filled with related lesson plans. One or two parts of this project could be completed as a stand-alone lesson, or the entire set of activities and extensions could be completed for an involved, integrated unit.
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