1. Environmental Science Bellringers
Stephanie Dial

2. General Information Use a composition notebook
Have 2 colors of ink or a highlighter
Write the question and the answer
Include the date and the number for each bellringer
Bellringers will be collected each quarter and at the end of the year

3. Day 1 – Aug 21 What is the environment?
List several ways that environment influences the economy.

4. Day 2 – Aug 22 Define the following: Biodiversity Ecological footprint
Natural resource
Sustainability
Law of supply and demand

5. Day 2 Define the following:
Biodiversity – the variety of organisms in a given area, the genetic variation within a population, the variety of species in a community, or the variety of communities in an ecosystem
Ecological footprint – a calculation that shows the productive area of Earth needed to support one person in a particular country

6. Day 2
Natural resource – any natural material that is used by humans, such as water, petroleum, minerals, forests, animals
Sustainability – the condition in which human needs are met in such a way that a human population can survive indefinitely
Law of supply and demand – a law of economics that states that as the demand for a good or service increases, the value of the good or service also increases

7. Ch 2 section 1 vocab Day 3 – Sept 10 Variable Experimental group
Observation
Control group
Hypothesis
Prediction
Data
Experiment
Correlation

8. Day 3
Ch 2 section 1 vocab
Observation – process of obtaining information by using the senses
Hypothesis – a theory or explanation that is based on observation and can be tested
Prediction – a statement made in advance that expresses the result will be obtained from testing a hypothesis, if the hypothesis is supported; the expected outcome
Experiment – procedure designed to test the hypothesis under controlled conditions
Variable – a factor that changes in the experiment
Experimental group – a group that is identical to the control group except for one factor
Control group – a group that is identical to the experimental group but nothing is changed
Data – the information gathered through an experiment
Correlation – the linear dependence between to variables

9. Day 4 – Sept 16 Ch 2 section 2 vocab Risk Model Statistics
Conceptual model
Mean
Mathematical model
Distribution
Probability
Sample

10. Day 4
Statistics – collection and classification of data into numbers (%)
Mean – average value for a set of numbers
Distribution – relative arrangements of numbers of a statistical population
Probability – chance that something will happen
Sample – selected to represent a population
Risk – probability of an unwanted outcome
Model – pattern, plan or representation designed to show structure or working of an object, system, or concept
Conceptual model – verbal or graphical representation
Mathematical model – one or more equations that represent the way a system or process works

11. Day 5 – Sept 17
Ch 2 section 3 vocab
Value
Decision-making model

12. Day 5
Value – principle or standard that an individual considers to be important
Decision-making model – a conceptual model that provide a systematic process for making decisions

13. Day 6 – Sept 19
Explain the statement “a good scientists is one who asks the right questions”.
How are statistics helpful for evaluating information about the environment?
How does making a table help you evaluate the values and concerns you have when making a decision?

14. Day 6
Explain the statement “a good scientist is one who asks the right questions”. When an observation warrants further examination, a good scientist knows what questions to investigate to fully understand the observation
How are statistics helpful for evaluating information about the environment? Statistics help people quantify and analyze different kinds of information, including information about the environment.
How does making a table help you evaluate the values and concerns you have when making a decision? Making a table can help in decision-making situations by organizing all the + and – consequences of a decision for comparison