ratio scale
Ratio scale = most informative/detailed measurement Its measurement explains its exact value and category (Is all of the measurements in one)
18 Matching Annotations
- Jan 2026
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stats.libretexts.org stats.libretexts.org
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ordinal scales allow comparisons of the degree to which two subjects possess the dependent variable
Ordinal scale = measurement within a scale Ex.) Rating from 1-10
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nominal scale
Nominal scale = Lowest level of measurement Just organizes samples by category Ex.) Favorite colors
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continuous
Continuous = outcomes that are not discrete CAN BE FRACTIONS/DECIMALS
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discrete variables
Discrete = set numbers NOT FRACTIONS/DECIMALS
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quantitative variable
Quantitive = Quantity/numeric value
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Qualitative variables
Qualitative = quality/characteristic
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the number of levels of an independent variable is the number of experimental conditions.
An independent variable is a variable/subject that has its own individual, observable value to a study.
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A variable is simply a characteristic or feature of the thing we are interested in understanding.
Definition of variable. A factor of interest in a study.
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stats.libretexts.org stats.libretexts.org
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question the statistics that you encounter.
Doing this is the first line of defense when strengthening your analytical statistic skills.
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They can be misleading and push you into decisions that you might find cause to regret
Not all stats are credible. They can be used as a marketing tactic.
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If you cannot distinguish good from faulty reasoning, then you are vulnerable to manipulation and to decisions that are not in your best interest
Statistics is the way science shows and organizes the relationship between variables, and without it we would not be able to tell reality and fantasy.
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statistics is how we communicate in science
Relationship to science. Explains why statistics is a prerequisite for most health science majors.
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stats.libretexts.org stats.libretexts.org
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statistics is a broader way of organizing, interpreting, and communicating information in an objective manner.
Part of statistic definition.
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here is simply not enough information to understand fully the impact of the statistics.
Statistics are not always 100% accurate, because all variables are not available to take into account for the study.
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people erroneously believe that there is a causal relationship between the two primary variables rather than recognize that a third variable can cause both
It's natural for people to see two numbers and assume they are related without looking at the bigger picture and realizing there is another factor that connects the two initial factors, which is known as the third-variable.
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This effect is called a history effect and leads people to interpret outcomes as the result of one variable when another variable (in this case, one having to do with the passage of time) is actually responsible.
History effect is a flaw in statistical studies that leads people to think an outcome is affected by one factor when really it is another, in this case it is time.
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The study of statistics involves math and relies upon calculations of numbers. But it also relies heavily on how the numbers are chosen and how the statistics are interpreted
This is close to a definition of stats.
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