The Scientific Process: Making Observations

7
The Scientific Process: Making Observations

description

The Scientific Process: Making Observations. I. Making Observations - Observations can be made several different ways. Observations can be put into two different categories; qualitative and quantitative. - PowerPoint PPT Presentation

Transcript of The Scientific Process: Making Observations

Page 1: The Scientific Process:  Making Observations

The Scientific Process:

Making Observations

Page 2: The Scientific Process:  Making Observations

I. Making Observations- Observations can be made several different ways. Observations can be put into two different categories; qualitative and quantitative.

Page 3: The Scientific Process:  Making Observations

A. Qualitative Observations- These types of observations look at the qualities that something has. Observations that can be observed using the five senses, are considered qualitative. (Examples: Color, texture, shape, smell, taste, sound, etc…)

Page 4: The Scientific Process:  Making Observations

1. Qualitative observations are usually recorded using data tables, drawings, and journaling. Cameras and video equipment can also be used to record qualitative observations.

Page 5: The Scientific Process:  Making Observations

B. Quantitative Observations- Some observations are made by making measurement of objects or conditions. Any observations that involve quantities or numbers of any kind, are considered quantitative. ( Examples: Temperature, Length, Mass, Volume, Density, quantities, etc…)

Page 6: The Scientific Process:  Making Observations

1. Quantitative observations are usually recorded in data tables or journaling. The data is then placed into charts or graphs to make the information easier to understand and share. The most commonly used graphs in science are line graphs, bar graphs, and circle graphs.

Page 7: The Scientific Process:  Making Observations

2. Quantitative observations can also be recorded using technology and computer. We call this automated data collection.