Difference between revisions of "How to Handle Unusual Data"
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<h1>How to Handle Unusual Data</h1> | <h1>How to Handle Unusual Data</h1> | ||
<h2>Introduction</h2> | <h2>Introduction</h2> | ||
<p>Sometimes when | <p>Sometimes when you're performing a lab, you get readings that don't appear to | ||
be right. This presents a dilemma. Many important discoveries are based on | be right. This presents a dilemma. Many important discoveries are based on | ||
somebody noticing some data that | somebody noticing some data that doesn't seem to fit, leading to further | ||
investigation and the advancement of technology. On the other hand, frequently | investigation and the advancement of technology. On the other hand, frequently | ||
the data is just incorrect, giving misleading results. We need to be able to | the data is just incorrect, giving misleading results. We need to be able to | ||
handle this situation in a way that | handle this situation in a way that doesn't detract from analyzing the results, | ||
but also | but also doesn't destroy important evidence.</p> | ||
<h2>What to do</h2> | <h2>What to do</h2> | ||
<p>When | <p>When you're performing a lab, <b>ALL</b> the data you record should go into | ||
your reports under the Data/Observations sections. Nothing should be omitted. | your reports under the Data/Observations sections. Nothing should be omitted. | ||
That way, in case | That way, in case there's a question later, at least you've recorded the | ||
evidence.</p> | evidence.</p> | ||
<p>After | <p>After you've recorded all the data, you can then make a decision to omit data | ||
which is obviously wrong. For example, if | which is obviously wrong. For example, if you've immersed an item in hot water | ||
and then taken it out, the item cannot be hotter than the temperature of boiling | and then taken it out, the item cannot be hotter than the temperature of boiling | ||
water: 100°C or 212°F. If you record a temperature of 2000°F, that would be | water: 100°C or 212°F. If you record a temperature of 2000°F, that would be | ||
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have been destroyed! This data is obviously incorrect.</p> | have been destroyed! This data is obviously incorrect.</p> | ||
<p>In your | <p>In your "Results" or "Discussion" section of your reports, you should make | ||
note of the erroneous reading and remove it from the data. You should then | note of the erroneous reading and remove it from the data. You should then | ||
proceed with any other calculations that you need to make on the remaining | proceed with any other calculations that you need to make on the remaining | ||
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<h2>Summary</h2> | <h2>Summary</h2> | ||
<p> | <p>You've now avoided the dilemma discussed at the beginning of this page. | ||
You've recorded the data, so that if there's a question later the original data | |||
is still present. However, | is still present. However, you've also avoided having what appears to be | ||
incorrect data cause you to make incorrect calculations or draw incorrect | incorrect data cause you to make incorrect calculations or draw incorrect | ||
conclusions about what | conclusions about what you've done.</p> | ||
[[Main_Page|Return to Table of Contents]] | [[Main_Page|Return to Table of Contents]] | ||
Latest revision as of 23:59, 25 September 2023
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How to Handle Unusual Data
Introduction
Sometimes when you're performing a lab, you get readings that don't appear to be right. This presents a dilemma. Many important discoveries are based on somebody noticing some data that doesn't seem to fit, leading to further investigation and the advancement of technology. On the other hand, frequently the data is just incorrect, giving misleading results. We need to be able to handle this situation in a way that doesn't detract from analyzing the results, but also doesn't destroy important evidence.
What to do
When you're performing a lab, ALL the data you record should go into your reports under the Data/Observations sections. Nothing should be omitted. That way, in case there's a question later, at least you've recorded the evidence.
After you've recorded all the data, you can then make a decision to omit data which is obviously wrong. For example, if you've immersed an item in hot water and then taken it out, the item cannot be hotter than the temperature of boiling water: 100°C or 212°F. If you record a temperature of 2000°F, that would be the temperature inside a steel blast furnace, and the object probably would have been destroyed! This data is obviously incorrect.
In your "Results" or "Discussion" section of your reports, you should make note of the erroneous reading and remove it from the data. You should then proceed with any other calculations that you need to make on the remaining data.
Summary
You've now avoided the dilemma discussed at the beginning of this page. You've recorded the data, so that if there's a question later the original data is still present. However, you've also avoided having what appears to be incorrect data cause you to make incorrect calculations or draw incorrect conclusions about what you've done.