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3b1 Managing Data

Managing Data Organizing and Interpreting Information

3b1 Managing Data
3b1 Managing Data

Managing Data Objectives

  • Describe the role and processes of data analysis, including errors in early interpretations of inheritance.
  • Explain a monohybrid (one-trait cross), including the characteristics of the parents and offspring in the F1 and F2 generations.

In this guide’s media piece, you will be collecting written data about a population.

Start Your 3B Media Assignment here

Population Data

In this media assignment you are collecting and submitting photographic and written data based on the plan you submitted for media piece 3A.
You are collecting data to answer:
  • What is the population size?
  • How is the population distributed?
  • Is there evidence of interactions within the population and/or interactions of the population with other species?
Construct and use a quadrat to sample a portion of the larger space.  The quadrat could be string, rulers, pencils, etc.  Just keep track of the size of the quadrat.
Collect data on the organisms in the quadrat, then move the quadrat to another area and repeat.  The data can include: number or organisms, their distribution, and which other organisms they are interacting with.
Turn in photographs and writing about your results, including:
1.  Photographs: ground-level view, eye-level view, and overhead view (if applicable)
2.  Writing: researcher name(s), project name, location, weather, date, time, the number in the sample quadrat, the extrapolated number in the entire location, distribution, and interactions.
3b1 Managing Data

Be safe, travel with others if possible, and minimize impact to organisms and their environments.

Data in its rawest, unprocessed sense is not necessarily useful information.  Analysis is an interpretation of data, an attempt to accurately describe and predict.

We are starting data analysis by heading thousands of years back in time to see what happened when data collection and analysis were limited.

Thousands of years of agriculture, and the descriptions, or laws, of inheritance were not established.

Interpretations of data were flawed, impacted by incomplete data, logical errors, and incorrect inferences.
Let’s take a look at basic data collection for an analysis that will span the next two sections of this guide.
Mark demonstrates a corn cross that has been observed for over a century.  Counting the colors and developing a ratio is a method we attribute to Mendel and his pea plant experiments in the next section.
Once you have data like the corn kernel color numbers in this video, the next step is to select a form of analysis.  In some cases it is simply comparing numbers, but in this case there is a ratio of purple to yellow to explain, as well as the yellow color skipping the F1 parents and reappearing in the F2 offspring.
There are different forms of data analysis to try to get a fuller picture of a natural phenomenon.  Contemporary data analysis utilizes faster computing speed and rapid communications.  
Data triangulation is using at least three (or more) perspectives in the analysis process. This could mean different researchers conducting research on the same topic, or a single research lab collecting and analyzing data in different ways.

Data Triangulation

Data triangulation is using at least three (or more) perspectives in the analysis process. This could mean different researchers conducting research on the same topic, or a single research lab collecting and analyzing data in different ways.
Data percolation is an attempt to get as much useful information out of a raw data set as possible by using a variety of data collection methods (qualitative and quantitative), drawing from published research or interviews with other experts, and running varied statistical analyses.

Data Percolation

Data percolation is an attempt to get as much useful information out of a raw data set as possible by using a variety of data collection methods (qualitative and quantitative), drawing from published research or interviews with other experts, and running varied statistical analyses.
We are living in the age of Big Data, data sets that are so large, traditional spreadsheet and statistical software is inadequate.  Innovations are occurring related to capturing, storing, analyzing, and communicating data.

In biology, one of the most famous examples of data collection and analysis is the work of Gregor Mendel.  Meet Mendel in the next section.

3b1 Managing Data
Check your knowledge.  Can you:
  • describe the role and processes of data analysis, including errors in early interpretations of inheritance?
  • explain a monohybrid (one-trait cross), including the characteristics of the parents and offspring in the F1 and F2 generations?
Go back to the Data Analysis Guide Overview
Go forward to the Mendel Page

Data Analysis Guide Contents

Complete all four of these sections before taking the quiz and making your media piece.

Back to Data

Module 3 Overview

This Guide

3B: Data Analysis

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