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Data interpretation

Data interpretation

Assessment

Presentation

Science

6th Grade

Practice Problem

Easy

NGSS
MS-LS2-1, MS-PS1-2, MS-PS2-5

+5

Standards-aligned

Created by

Barbara White

Used 5+ times

FREE Resource

8 Slides • 8 Questions

1

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Data interpretation

Middle School

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2

Learning Objectives

  • Define data as the information collected during a science experiment.

  • Explain how scientists study data to find interesting trends and patterns.

  • Describe experimental error and discover where it might come from in an experiment.

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Key Vocabulary

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Data

Measurements and observations collected during an experiment, which are then recorded in an orderly way.

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Analyze

To examine data for trends or patterns to determine if the results support the hypothesis.

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Trend

A general pattern or direction of change that you can observe in the collected data.

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Experimental Error

The unavoidable difference between a measurement and its true value that can occur during experiments.

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Understanding and Analyzing Data

  • Data is observations and measurements recorded in an organized way during an experiment.

  • After an experiment, scientists analyze the data to find trends or patterns.

  • This can involve performing calculations or creating graphs to visualize the information.

  • The goal is to decide if the results support the original hypothesis.

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5

Multiple Choice

According to the slide, what is the primary purpose of analyzing data after an experiment?

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To determine if the results support the hypothesis.

2

To ensure the equipment is working correctly.

3

To make new observations.

4

To record measurements in an orderly way.

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Analyzing Data: An Example

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  • A gardener studied how different conditions affect flower production.

  • Group 3 produced the most flowers, with a total of 126.

  • Analyzing data helps find the most effective growing conditions.

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Multiple Choice

Based on the gardener's data, which group of plants produced the most flowers?

1

Group 3

2

Group 1

3

All groups produced the same number of flowers.

4

Group 2

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Understanding Experimental Error

  • Experimental error is the difference between a measured value and the true value.

  • Scientists review data to find errors from human mistakes or faulty equipment.

  • A broken thermometer, for example, could introduce an error into the experiment.

  • Error also occurs if the group studied is not representative of the whole.

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Multiple Choice

Which of the following is described as a potential source of experimental error?

1

Human mistakes or problems with equipment.

2

Recording data in an orderly way.

3

When a trend is identified in the data.

4

When the results support the hypothesis.

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Common Misconceptions About Scientific Errors

Misconception

Correction

Any difference in data is an error.

Natural variation in data is normal. Errors are specific, identifiable issues.

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Multiple Choice

A scientist finds that their new thermometer consistently measures temperatures 2 degrees higher than the actual temperature. How would this affect their data analysis?

1

It introduces a systematic experimental error.

2

It is not a source of error.

3

It helps to support the hypothesis.

4

It creates a new trend in the data.

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Multiple Choice

Why is it important for a scientist to analyze data for trends or patterns?

1

To determine if the collected results support or reject the initial hypothesis.

2

To check for human mistakes during the experiment.

3

To ensure that all data is recorded in an orderly fashion.

4

To prove that the measurement equipment is working correctly.

13

Multiple Choice

A student is testing plant growth with different fertilizers but accidentally gives one group of plants twice as much water as the others. How could this action impact the experiment's conclusion about the fertilizers?

1

It only affects the group that received extra water, so the other results are still valid.

2

It introduces an error, making it hard to know if growth changes are from the fertilizer or the water.

3

It helps to identify a new trend in the data related to watering.

4

It will not have any impact on the experiment's results.

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Multiple Choice

Imagine the gardener's Group 1 plants were in a spot that received less sunlight than Groups 2 and 3, but this was not recorded. How does this affect the interpretation of the results?

1

It introduces an error because the difference in flower count might be due to sunlight, not the tested soil pH.

2

It does not affect the interpretation because the flower counts were recorded correctly.

3

It suggests that soil pH is the only factor affecting flower production.

4

It confirms that Group 3 had the best conditions, regardless of sunlight.

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Summary

  • Data from experiments is analyzed to find patterns and test a hypothesis.

  • Experimental error can cause a difference between your results and the true value.

  • Errors can result from human mistakes or equipment that is not working correctly.

  • Always check your data for errors to ensure your results are correct.

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16

Poll

On a scale of 1-4, how confident are you about interpreting experimental data?

1

2

3

4

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Data interpretation

Middle School

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