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Instructor: In our previous video,
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we distinguished between categorical and numerical data.
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Furthermore, we saw that numerical data
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can be discrete and continuous.
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It's time to move on to the other classification,
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levels of measurement.
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These can be split into two groups:
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qualitative and quantitative data.
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They are very intuitive, so don't worry.
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Qualitative data can be nominal or ordinal.
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Nominal variables are like the categories
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we talked about just now, Mercedes, BMW, or Audi,
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or like the four seasons,
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winter, spring, summer, and autumn.
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They aren't numbers and cannot be ordered.
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Ordinal data, on the other hand,
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consists of groups and categories
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which follow a strict order.
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Imagine you have been asked to rate your lunch
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and the options are disgusting, unappetizing,
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neutral, tasty, and delicious.
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Although we have words and not numbers,
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it is obvious that these preferences
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are ordered from negative to positive.
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Thus, the level of measurement is qualitative, ordinal.
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Okay, so what about quantitative variables?
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Well, as you may have guessed by now,
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they are also split into two groups, interval and ratio.
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Intervals and ratios are both represented by numbers,
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but have one major difference.
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Ratios have a true zero and intervals don't.
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Most things we observe in the real world are ratios.
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Their name comes from the fact
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that they can represent ratios of things.
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For instance, if I have two apples and you have six apples,
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you would have three times as many as I do.
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How did I find that out?
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Well, the ratio of six and two is three.
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Other examples are a number of objects in general,
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distance, and time.
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All right, intervals are not as common.
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Temperature is the most common example
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of an interval variable.
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Remember, it cannot represent a ratio of things
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and doesn't have a true zero.
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Let me explain.
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Usually, temperature is expressed in Celsius or Fahrenheit.
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They are both interval variables.
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Say today is five degrees Celsius or 41 degrees Fahrenheit
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and yesterday was 10 degrees Celsius
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or 50 degrees Fahrenheit.
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In terms of Celsius, it seems today is twice colder,
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but in terms of Fahrenheit, not really.
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The issue comes from the fact that zero degrees Celsius
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and zero degrees Fahrenheit are not true zeros.
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These scales were artificially created
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by humans for convenience.
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Now, there is another scale called Kelvin
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which has a true zero.
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Zero degrees Kelvin is the temperature
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at which atoms stop moving
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and nothing can be colder than zero degrees Kelvin.
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This equals minus 273.15 degrees Celsius
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or minus 459.67 degrees Fahrenheit.
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Variables shown in Kelvins are ratios
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as we have a true zero and we can make the claim
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that one temperature is two times more than another.
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Celsius and Fahrenheit have no true zero and are intervals.
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Finally, numbers like two, three, 10, 10.5, pi, et cetera,
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can be both interval or ratio, but you have to be careful
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with the context you are operating in.
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All right, we've quickly gone through the types of data
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and the measurement levels.
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Stick around to see the types of graphs
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that are used on a daily basis.
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