Lecture 3: Describing Data Flashcards

1
Q

Mean

A

Sum of all values/Number of values

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2
Q

Median

A

Middle value after sorting

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3
Q

Mode

A

Most frequently occurring value

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4
Q

Range

A

Maximum - Minimum

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5
Q

Standard deviation

A

Average difference between average and the mean OR how spread out the values are

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6
Q

Outlier

A

A value that isn’t near any other value in the list

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7
Q

Why do outliers occur? (3 examples)

A
  1. Incorrect value (misrecoreded/subject misunderstood)
  2. Correct value but its natural variation
  3. Correct value but subject is from different population than main population of interest
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8
Q

What should we do with an incorrect value?

A
  1. Correct the value if possible
  2. If correction isn’t possible, remove value from the data set
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9
Q

What should we do if its a correct value (natural variation)

A

We would keep the value, but note it’s presence in the report

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10
Q

What do we with a correct value but the subject is from a different population than the main population of interest?

A

We would remove the value if the population it comes from isn’t the population of interest

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11
Q

Whenever we remove a value what should we do in the analyses

A

Report it! It’s a part of being honest and complete in our scientific reporting

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12
Q

Which is more sensitive to outliers between the mean or the median?

A

The MEAN! The median would be the same if any of the adjacent values changed

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