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Definition
| The middle value in your list or numbers. |
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Term
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Definition
An average of all of the given numbers.
EX:
Four tests results: 15, 18, 22, 20
The sum is: 75
Divide 75 by 4: 18.75
The average is 18.75
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Definition
Odd: the median is the middle entry in the list after sorting the list into increasing order.
Even: the median is equal to the sum of the two middle (after sorting the list into increasing order) numbers divided by two.
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Definition
This refers to numbers that occur most frequently.
EX: 1, 2, 3, 2, 2, 3, 1, 2, 2, 2, 2, 2, 1, 3
The answer is 2 |
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Definition
| These are things that we measure, control, or manipulate in research. |
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Definition
| A factor that determines the amount of information that can be provided by a variable. |
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Definition
This type of measurement variable allows for only qualitative classification. That is, they can be measured only in terms of whether the individual items belong to some distinctively different categories, but we cannot quantify or even rank order those categories. For example, all we can say is that two individuals are different in terms of variable A (e.g., they are of different race), but we cannot say which one "has more" of the quality represented by the variable. Typical examples of this type of measurement are gender, race, color, city, etc. |
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Definition
This type of measurement variable allows us to rank order the items we measure in terms of which has less and which has more
EX: socioeconomic status of families. For example, we know that upper-middle is higher than middle but we cannot say that it is, for example, 18% higher. |
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Definition
This type of measurement variable allows us not only to rank order the items that are measured, but also to quantify and compare the sizes of differences between them.
EX: temperature. We can say that a temperature of 40 degrees is higher than a temperature of 30 degrees, and that an increase from 20 to 40 degrees is twice as much as an increase from 30 to 40 degrees. |
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Definition
This type of measurement scale variable has an identifiable absolute zero point. Thus, they allow for statements such as x is two times more than y.
EX: time, space or Kelvin temperature. For example, as the Kelvin temperature, not only can we say that a temperature of 200 degrees is higher than one of 100 degrees, we can correctly state that it is twice as high. |
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Definition
| Another term for statistical significance |
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Definition
| This term describes the probability that the observed relationship (e.g., between variables) or a difference (e.g., between means) in a sample occurred by pure chance ("luck of the draw"), and that in the population from which the sample was drawn, no such relationship or differences exist. Using less technical terms, we could say that this term tells us something about the degree to which the result is "true" (in the sense of being "representative of the population"). |
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