7.1 Intro To Life Science (part 2) Question Preview (ID: 10155)


10 More Questions For Chapter 1. TEACHERS: click here for quick copy question ID numbers.

Explaining or interpreting the things you observe based on reasoning from what you already know is called
a) observing.
b) inferring.
c) predicting.
d) classifying.

Trying to explain why a cactus needs little water to survive is an example of
a) a prediction.
b) drawing a conclusion.
c) scientific inquiry.
d) classification.

Making a forecast of what will happen in the future based on past experience or evidence is called
a) observing.
b) inferring.
c) predicting.
d) classifying.

When scientists put things into categories or group together items that are alike in some way, they are
a) inferring.
b) predicting.
c) classifying.
d) making models.

When scientists create a representation of a complex process, they are
a) inferring.
b) predicting.
c) classifying.
d) making models.

Knowing how to use lab equipment is an example of
a) good lab preparations.
b) performing a lab.
c) being in the filed
d) completing a lab.

In a scientific experiment, a statement that describes how to measure a particular variable or define a particular term is a(n)
a) hypothesis.
b) manipulated variable.
c) operational definition.
d) responding variable.

If a beaker breaks, the first thing you should do is
a) clean up the broken glass.
b) ask a classmate for help.
c) read safety symbols for the lab.
d) notify your teacher.

Scientists’ skepticism should be balanced with an ability to
a) accept new and different ideas.
b) be honest.
c) find solutions to problems.
d) learn more about the topics they study.

What scientific attitude is especially important when a scientist’s results go against previous ideas?
a) curiosity
b) honesty
c) skepticism
d) creativity

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