Difference between revisions of "Repeat"
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The maple leaf is the only red leaf. What if the leaf you picked was the only one of its kind? You cannot tell if you only do the experiment once. You should get at least 3 leaves from each type of tree to check the red leaf is not an [[anomaly]]. | The maple leaf is the only red leaf. What if the leaf you picked was the only one of its kind? You cannot tell if you only do the experiment once. You should get at least 3 leaves from each type of tree to check the red leaf is not an [[anomaly]]. | ||
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| + | ==Key Stage 3== | ||
| + | ===Meaning=== | ||
| + | A '''repeat''' is when exactly the same [[experiment]] is done again. | ||
| + | |||
| + | ===About Repeats=== | ||
| + | : [[Repeat]]s are done in order to check for [[Anomaly|anomalies]] and are used to calculate an [[Mean Average|average]] (this reduces the effects of [[Random Error|random errors]]). | ||
Revision as of 13:42, 30 November 2018
Contents
Key Stage 2
Meaning
A repeat is when exactly the same experiment is done again.
About Repeats
- Repeats are an extremely important part of an experiment. If you cannot get the same results a second time, then you can't be sure your experiment gave real results.
- A repeat experiment should be done in exactly the same way as the first experiment.
- We do repeats for two reasons:
- 1. To check for mistakes in our results called 'anomalies'.
- 2. To calculate an average when we are taking measurements.
Examples
| Oak Leaf | Beech Leaf | Ash Leaf |
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| Maple Leaf | Chestnut Leaf | Variables |
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The maple leaf is the only red leaf. What if the leaf you picked was the only one of its kind? You cannot tell if you only do the experiment once. You should get at least 3 leaves from each type of tree to check the red leaf is not an anomaly. |
Key Stage 3
Meaning
A repeat is when exactly the same experiment is done again.
About Repeats
- Repeats are done in order to check for anomalies and are used to calculate an average (this reduces the effects of random errors).