Standard Errors

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12 Terms

1

What creates uncertainty?

using a sample rather than the full population means estimates are influenced by randomness

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2

What can standard errors be used to describe?

uncertainty

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3

What does sampling error describe?

differences between the metric made based on the sample and the true value of the metric for the whole population

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4
<p>What type of distribution is shown?</p>

What type of distribution is shown?

normal distribution

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5

How does sampling error arise?

due to process of random sampling

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6

What can simulations (e.g. creating fake scenarios in R) be used for?

exploring properties of a population

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7

What assumptions do simulations have to meet in order to be used?

population assumptions must equal simulation assumptions

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8

What is the equation for standard error?

SE = sd(x) / square root of n

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9

What does a small standard error value suggest?

lower influence of sampling error when estimating mean

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10

How is a standard deviation estimated?

using collected and calculated data

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11

What is the standard error if the standard deviation of 25 measurements equals 5?

  • SE = sd/ square root n

  • 5/ square root of 25

  • =1

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12

What measurements can a standard error be calculated for (3)?

  • mean of sample

  • variance of sample

  • difference between mean of 2 samples

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