Bluman's 1.4

Bluman's 1.4

10th - 12th Grade

10 Qs

quiz-placeholder

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Bluman's 1.4

Bluman's 1.4

Assessment

Quiz

Mathematics

10th - 12th Grade

Medium

CCSS
HSS.IC.B.3, HSS.ID.C.9

Standards-aligned

Created by

Ronnie Green

Used 26+ times

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

A researcher stood at a school parking lot entrance to see if the color of a car is related to the driver not wearing a seatbelt.

Observational Study

Experiment

Tags

CCSS.HSS.IC.B.3

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

A professor finds that people who are obese have higher cholesterol levels than those who are not obese.

Observational Study

Experiment

Tags

CCSS.HSS.IC.B.3

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

A researcher stood at a school parking lot entrance to see if the color of a car is related to the driver not wearing a seatbelt. What is the explanatory variable?

car color

wearing seatbelt or not

Tags

CCSS.HSS.IC.B.3

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

A researcher stood at a school parking lot entrance to see if the color of a car is related to the driver not wearing a seatbelt. What is the response variable?

car color

wearing seatbelt or not

Tags

CCSS.HSS.IC.B.3

5.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

A survey is _____________

an observational study
an experiment

Tags

CCSS.HSS.IC.B.3

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is a key distinction between well designed experiments and observational studies?

More subjects are available for experiments than for observational studies.

Ethical constraints prevent large-scale observational studies.

Experiments are less costly to conduct than observational studies.

An experiment can show a direct cause-and-effect relationship, whereas an observational study cannot.

Tests of significance cannot be used on data collected from an observational study.

Tags

CCSS.HSS.IC.B.3

CCSS.HSS.ID.C.9

7.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

Media Image

Factors that cause differences between the experimental group and control group other than the independent variable. 

control group
population
confounding variables

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