Unit 0 Class Notes and Power Point
0.01A - Scientific notation
0.01A - Scientific notation
- "E" simply means "x10^x", NEVER write it our by hand
- Video 1 - Scientific Notation: Introduction
- Video 2 - Converting Units with Conversion Factors
- Video 3 - Converting Units using Multiple Conversion Factors
- Video 4 - Multiple Conversion Factors (Part 2)
- Linear Model: y=mx+b --> a straight line
- Slope = m = growth/decay rate, constant change between x and y
- y-intercept = b = the value of the dependent variable when the independent variable is 0 (often represents the starting point of the equation)
- Individual Point = (x,y) = the value of the dependent variable(y), when the independent variable is a specific value(x)
- Inverse Models
- an inverse correlation/model is a contrary relationship between two variables such that they move in opposite directions
- an inverse correlation/model is a contrary relationship between two variables such that they move in opposite directions
- Quadratic Models
- quadratic models have inconstant rate of change, which means their slope changes every time the independent variable changes. Note that the rate of change can go both directions, it can be both positive or negative, which will affect the graph by its concave.
- Slope: the rate of change
- Y-intercept: the value of the dependent variable when the independent variable is 0
- Individual points: the value of the dependent variable when the independent variable is a specific value
- Scientific and Mathematical Models = a presentation of an idea, an object, or a process or a system that is used to make predictions
- Design
- defining the problem and selecting variables
- controlling variables
- developing a method for collection of data
- Raw Data V.S. Processed Data
- Raw Data - Raw data is the data that is measured and collected directly from the lab. They are usually not in the format that are ready to perform analysis.
- Processed Data - The processed data is the type of data that is processed from raw data. Usually some kind of cleaning, transformation are performed to convert the raw data into a format that can be analyzed, visualized.
- Conclusion and Evaluation
- Evaluating Procedures (weaknesses and limitations)
- Improving the Investigation
- Evaluating Procedures (weaknesses and limitations)
- Determining Confidence in an Experiment/Model
- #1 Lots of Data (5-10 collected data)
- #2 Large Range of Data (the largest value is 10 times bigger than the smallest)
- #3 Multiple Trials (3-5 trials)
- #1 Lots of Data (5-10 collected data)
- Souces of Unvertainty
- Reaction time --> TIME
- Parallax --> SHIFT
- Equipment
- Reaction time --> TIME