Statistics - 1.2 Classifying Data

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In this video, we'll be discussing the different levels of measurement and how they can be used to classify data. We'll also look at the different types of data and how to categorize them using the levels of measurement.
If you're looking to increase your understanding of basic statistical concepts, then this video is for you! By the end of this video, you'll have a better understanding of how to classify data using the levels of measurement, and you'll be able to use this knowledge to understand and analyze data more effectively.
00:00 Intro
00:04 Qualitative vs. Quantitative Data
01:34 Qualitative vs. Quantitative Data Practice
03:24 Practice on Your Own
05:25 Continuous vs. Discrete Quantitative Data
06:54 Continuous vs. Discrete Quantitative Data Practice
08:16 Levels of Measurement
09:42 Levels of Measurement Examples
10:42 Levels of Measurement Flow Chart
11:23 Levels of Measurement Practice
14:44 Up Next
This playlist follows the text, Beginning Statistics, 3rd ed, Warren, Denley, Atchley
Power Point: bellevueuniversity-my.sharepo...
The playlist can be found here:
• Applied Statistics (En...

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24 июл 2024

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Комментарии : 16

@JamesEnTennessee 6 месяцев назад

I really appreciate your putting these up. I need to learn statistics and this is the place. You make it so understandable.

@BreeannaChamplin 2 месяца назад

Thank you for these videos. I may still fail my statistics class and need to take it again, but this is helping a lot as I am not at all good at math.

@dd21 3 месяца назад

Hi Professor,, Thanks a lot for wonderful explanation. At 14:00 it is discussed that zero temperature does not indicate absence of of heat. However, we know that the zero temperature does indicate that there is an absence of heat. Because, if there is temperature then the measurement would always be more than zero. request to clarify.

@fatimohishaq2615 6 месяцев назад

Thank you to the lesson❤

@seanbrendangarrette7644 3 года назад

Excellent presentation

@SawFinMath 3 года назад

Thanks a lot

@mohammedadam85 Месяц назад

Thank you for all these amazing lectures, I want to ask you about the name of the text book that goes with these lectures. Many thanks Mohammed

@SawFinMath Месяц назад

This is Beginning Statistics 3E publisher Hawkes

@thn0185 Год назад

Thank you very much for your great lectures. I have a question at 10:30 for the example of interval data. Interval data has 0 as an arbitrary value, thus it also has negative values. But there is no birth year as 0 and no negative value for birth year. Is there any mistake at this example?

@SawFinMath Год назад

It is considered interval data. While we don't typically look at "negative" years, we could set our year of birth as "0" so years before our birth would be considered negative.

@johnzebond7718 2 года назад

Really great lecture, thank you so much for posting this. A question, though: at about 14:00, regarding boiling points, you say that zero does not indicate the absence of heat. I'm confused as to that line of thinking. Does this mean that if something is boiling, it naturally can't be at 0, and thus is negated from being in that category? Thanks ahead of time, Professor (or whoever answers this).

@hydejekyll4099 2 года назад

she may be wrong there. at least on my "data" of knowledge. there's not heat at 0 so it is ratio not interval type.

@karenperez4246 2 года назад

You are both wrong. 0 degrees FAHRENHEIT would indicate the absence of heat. But she CLEARLY SAID CELCIUS . So 0 degrees CELCIUS is 32 degrees F indicating some heat.

@karenperez4246 2 года назад

@@hydejekyll4099 You are both wrong. 0 degrees FAHRENHEIT would indicate the absence of heat. But she CLEARLY SAID CELCIUS . So 0 degrees CELCIUS is 32 degrees F indicating some heat.

@matemagi2018 2 года назад

Not sure if I completele understand your question, but if you look at question a) that type og data was ratio because zero indicated the absence of racing. In this question the temperature zero degrees Celcius does NOT indicate the absence of boiling - i.e. some liquids do boil at zero degrees Celcius. Hope that makes sence.

@SawFinMath Год назад

Interval Data www.freecodecamp.org/news/types-of-data-in-statistics-nominal-ordinal-interval-and-ratio-data-types-explained-with-examples/ Interval data is fun (and useful) because it's concerned with both the order and difference between your variables. This allows you to measure standard deviation and central tendency. Everyone's favorite example of interval data is temperatures in degrees celsius. 20 degrees C is warmer than 10, and the difference between 20 degrees and 10 degrees is 10 degrees. The difference between 10 and 0 is also 10 degrees. If you need help remembering what interval scales are, just think about the meaning of interval: the space between. So not only do you care about the order of variables, but also about the values in between them. There is a little problem with intervals, however: there's no "true zero." A true zero has no value - there is none of that thing - but 0 degrees C definitely has a value: it's quite chilly. You can also have negative numbers. If you don't have a true zero, you can't calculate ratios. This means addition and subtraction work, but division and multiplication don't.