Data Collection in Environmental Science

Data Collection in Environmental Science

Assessment

Interactive Video

Science

6th - 7th Grade

Hard

Created by

Patricia Brown

FREE Resource

The video tutorial introduces the learning intentions of developing scientific skills through environmental data analysis. It focuses on collecting and analyzing abiotic data related to climate conditions using SparkView, a tool for gathering quantitative data. The tutorial discusses the advantages and disadvantages of using data loggers, emphasizing the ability to collect large amounts of data simultaneously. It also covers qualitative data, which involves describing climate conditions. The session concludes with a summary of the discussed topics.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary goal of the learning objectives discussed in the video?

To memorize scientific facts

To improve artistic abilities

To develop working scientifically skills

To learn about historical events

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is considered abiotic data?

Soil composition

Temperature

Plant growth

Animal behavior

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What type of data involves numerical measurements?

Subjective data

Descriptive data

Quantitative data

Qualitative data

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main focus when collecting environmental data?

Historical data

Cultural data

Abiotic data

Biotic data

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What tool is introduced for collecting numerical climate data?

ClimateTracker

DataLogger

WeatherPro

SparkView

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a key advantage of using data loggers in environmental studies?

They allow simultaneous data collection

They are inexpensive

They require no training

They do not need a power source

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a disadvantage of using data loggers?

They are not reliable

They are difficult to use

They cannot collect numerical data

They require a power source

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