DATA ANALYSIS AND PROBABILITY
In this unit, students will work on collecting data (questionnaires, data bases, experiments etc) and using this evidence to formulate conclusions and create graphs and tables (focusing on line graphs).
In addition students will work with probability: certainty of events, theoretical vs. experimental, probability pf certain events etc.
COLLECTING DATA
Questionnaires: Writing good questions
1. Everyone must understand it in the same way
2. Must be an answer for everyone to choose (they shouldn't have to pick one they really don't want to choose).
3. Must be a fair question: the question should not influence the reader, if it does this is a biased question.
Experiments:
enough trials
consistent, reliable data
Data Base:
Reliable sources
Graphing
- Title
- X and Y Axis Title
- Appropriate Scale
- Continuous vs. Discrete data (Continuous is used in line graphs where the spaces between the points have a meaning ex. temperature, distance, time. Discrete is where each point is separate, no lines to connect, used to show data that has been counted)
Probability
Theoretical: What SHOULD happen
Experimental: What DOES happen
In this unit, students will work on collecting data (questionnaires, data bases, experiments etc) and using this evidence to formulate conclusions and create graphs and tables (focusing on line graphs).
In addition students will work with probability: certainty of events, theoretical vs. experimental, probability pf certain events etc.
COLLECTING DATA
Questionnaires: Writing good questions
1. Everyone must understand it in the same way
2. Must be an answer for everyone to choose (they shouldn't have to pick one they really don't want to choose).
3. Must be a fair question: the question should not influence the reader, if it does this is a biased question.
Experiments:
enough trials
consistent, reliable data
Data Base:
Reliable sources
Graphing
- Title
- X and Y Axis Title
- Appropriate Scale
- Continuous vs. Discrete data (Continuous is used in line graphs where the spaces between the points have a meaning ex. temperature, distance, time. Discrete is where each point is separate, no lines to connect, used to show data that has been counted)
Probability
Theoretical: What SHOULD happen
Experimental: What DOES happen