Scientific Process Quiz Study Guide
Scientific Process Overview and Foundations
Student Name: Izzy Szmyd
Course Topic: Scientific Process Quiz Study Guide
Referenced Note Modules:
Scientific Method Notes
Variables and Constants Practice
Graph Notes
CER Notes
Core Topics Covered:
The Scientific Method
Types of Data
Variables and Constants
Analyzing Graphs
Claim, Evidence, Reasoning (CER)
The Six Sequential Steps of the Scientific Method
Step : Problem
Defining a specific question about an observation or scientific phenomenon that requires investigation.
Step : Observation / Research
Conducting background research, collecting preliminary facts, and reviewing scientific principles related to the problem.
Step : Hypothesis
Formulating a clear, testable, and educated prediction regarding the expected outcome of the experiment.
Step : Experiment
Designing and executing a controlled procedure to test the hypothesis while isolating and manipulating a single independent variable.
Step : Analyze
Gathering quantitative and qualitative results, organizing data into tables or graphs, and searching for patterns or trends.
Step : Conclusion
Determining whether the experimental data supports or rejects the original hypothesis and summarizing the final findings.
Classification of Quantitative and Qualitative Data
Quantitative Data Definition and Properties:
Data that is expressed numerically, representing counts, measurements, or calculated values.
Always associated with numbers and standard units of measurement.
Verified Examples of Quantitative Data:
A pencil has a mass of .
A white board has a length of .
A football field is long.
Qualitative Data Definition and Properties:
Data that describes qualities, visual appearances, colors, textures, or non-numerical attributes.
Verified Examples of Qualitative Data:
The cow is brown.
The chalkboard is green.
Experimental Variables and Control Requirements
Testing Protocol for Independent Variables:
An experiment must isolate and test exactly independent variable at a time.
Testing multiple independent variables simultaneously prevents determining which variable caused the observed results.
Key Experimental Variable Definitions:
Independent Variable (IV): The variable purposefully changed or manipulated by the experimenter.
Dependent Variable (DV): The variable measured or observed to evaluate the effect of the independent variable.
Constants (Controlled Variables): Factors maintained at fixed, identical conditions across all trials to isolate the independent variable.
Paper Airplane Experimental Analysis
Scenario Overview:
Educator Mrs. Levine tested whether paper airplane length affects flight distance using Paper Airplane # ( in length) and Paper Airplane # ( in length), measuring the distance traveled.
Problem Identification:
What paper airplane flies the farthest distance?
Independent Variable Identification:
Different lengths of the paper airplane ( versus ).
Dependent Variable Identification:
The distance traveled by the paper airplane.
Essential Experimental Constants:
Same type and mass of paper used for both airplanes.
Same location/environment for testing to avoid variations in air currents.
Same person throwing each paper airplane to maintain equal force and launch angle.
Same time and atmospheric testing conditions across trials.
Temperature and Bug Motion CER Analysis
Scientific Scenario:
Evaluating how ambient temperature impacts bug movement activity.
Claim:
A temperature of causes the most bug motion.
Evidence:
The experimental graph demonstrates that corresponds to the highest point on the bug motion graph line.
Reasoning:
The peak value on a graph of activity versus temperature signifies the point of maximal response, confirming that produces the highest level of bug movement.
Doggy Daycare Graph Analysis
Graph Details:
Title: Doggy Daycare
Variable Identification:
Independent Variable (X-axis): Days (representing time progression).
Dependent Variable (Y-axis): Number of dogs (representing daycare attendance).
Data Interpretation:
Peak Attendance Day: Day #.
Peak Dog Count: Exactly attended Doggy Daycare on Day #.
Graph Selection Guidelines and Applications
Criteria for Bar Graphs:
Usage: Applied when comparing discrete categories, distinct groups, or separate non-continuous entities.
Scenario Example: A scientist comparing average October rainfall across distinct cities (Pittsburgh, Harrisburg, New York City, Akron, and Buffalo).
Justification: A bar graph is appropriate because rainfall is compared across distinct categorical cities rather than a continuous progression over time.
Criteria for Line Graphs:
Usage: Applied when tracking continuous changes, trends, or continuous growth over time.
Scenario Example: A student measuring plant height changes at weekly intervals over a period of weeks.
Justification: A line graph is appropriate because plant height is monitored continuously over a period of time.
Practice Questions and Detailed Solutions
Step-by-Step Order of Scientific Inquiry:
Question: What are the sequential steps of the scientific process?
Answer: Step is Problem, Step is Observation/Research, Step is Hypothesis, Step is Experiment, Step is Analyze, and Step is Conclusion.
Quantitative Data Distinction Exercise:
Question: Identify all quantitative statements from the list: "The cow is brown", "The pencil has a mass of ", "The white board has a length of ", "The chalkboard is green", and "The football field is ".
Answer: The quantitative statements are: "The pencil has a mass of ", "The white board has a length of ", and "The football field is " because they involve measurable numerical values.
Independent Variable Limit:
Question: How many independent variables should be tested at a time?
Answer: Exactly independent variable.
Mrs. Levine's Paper Airplane Investigation:
Question: For Mrs. Levine's experiment comparing a paper airplane and a paper airplane to measure flight distance, state the problem, IV, DV, and constants.
Answer: Problem: What paper airplane flies farthest? IV: Different lengths of airplane ( vs. ). DV: Distance traveled. Constants: Same type of paper, same person throwing, and same location where it is being tested.
Bug Motion CER Formulation:
Question: State a claim and evidence describing which temperature causes the most bug motion based on graph data peaking at .
Answer: Claim: causes the most bug motion. Evidence: The graph shows that is the highest point on the graph.
Doggy Daycare Graph Evaluation:
Question: Identify the IV, DV, and peak attendance day/count for the "Doggy Daycare" graph.
Answer: IV: Days. DV: Number of dogs. Day # had the most attendance with .
Rainfall Comparison Graph Selection:
Question: Which graph type compares average rainfall in Pittsburgh, Harrisburg, New York City, Akron, and Buffalo in October, and why?
Answer: Bar graph, because it compares average rainfall across discrete categories (cities).
Plant Growth Graph Selection:
Question: Which graph type tracks plant height over weeks measured weekly, and why?
Answer: Line graph, because it shows how a variable changes over a period of time.