Scientific Investigation Concepts

Scientific Investigation Concepts

Assessment

Interactive Video

Science, Physics, Biology, Education

6th - 10th Grade

Hard

Created by

Emma Peterson

Used 1+ times

FREE Resource

Paul Anderson discusses the importance of investigations in science and engineering, highlighting both experimental and observational methods. He explains how to plan investigations by developing questions, identifying variables, and setting controls. The video emphasizes the significance of accuracy, precision, and sample size in data collection. It also outlines the educational progression of investigation skills from elementary to high school, encouraging iterative learning and scaffolding.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary outcome of an investigation in science and engineering?

A new hypothesis

A completed experiment

Data for analysis

A published paper

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is an example of observational science?

Chemistry experiments

Astronomy

Mathematical modeling

Physics simulations

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

When planning an observation, what is the first step?

Collecting data

Developing a good question

Publishing findings

Analyzing results

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In a scientific investigation, what is the role of controls?

To analyze the data

To keep certain variables constant

To vary the experiment

To measure the outcome

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the independent variable in the pendulum experiment example?

The period of the pendulum

The length of the pendulum

The mass of the pendulum

The amplitude of the pendulum

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does accuracy in an experiment refer to?

The variety of data collected

The number of trials conducted

How close the data is to the correct answer

How close the data is to each other

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is it important to have a large sample size in experiments?

To ensure more variables are tested

To make the experiment more complex

To increase the accuracy of the results

To reduce the time taken for experiments

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