# Qualitative and Quantitative

TLDRThe video explains the difference between quantitative and qualitative data. Quantitative data involves numbers and counts, like having 7 dogs or being 6 feet tall. It can be discrete (whole numbers from counting) or continuous (measurements). Qualitative data uses descriptive words instead of numbers, engaging the five senses - sight, touch, taste, smell, hearing. Examples are a cat's black fur (visual), rough fur (touch), good/bad taste, loud/soft sounds, smelly or not. The video quizzes viewers, showing quantitative data uses numbers while qualitative data describes observations with words.

###### Takeaways

- π There are two main types of data: quantitative (numerical) and qualitative (descriptive).
- π Quantitative data can be further divided into discrete (counting whole numbers) or continuous (measurements).
- π Examples of quantitative data: number of cats, distance, speed, weight.
- ποΈ Qualitative data uses words and descriptions, not numbers.
- π Qualitative data involves the five senses: sight, touch, taste, hearing, smell.
- π Examples of qualitative data: color, texture, taste, volume, aroma.
- β To identify data, ask: Is it described with numbers (quantitative) or words (qualitative)?
- π€ If quantitative, is it measured (continuous) or counted (discrete)?
- π§ Quizzes help reinforce the differences between types of data.
- π Understanding differences between data types is the first step in data analysis.

###### Q & A

### What are the two main types of data mentioned in the video?

-The two main types of data mentioned are quantitative data and qualitative data.

### What are the two types of quantitative data discussed?

-The two types of quantitative data discussed are discrete data and continuous data.

### What is an example of discrete quantitative data provided in the video?

-An example of discrete quantitative data is the number of cats, which has to be a whole number like 8 cats.

### What is an example of continuous quantitative data provided?

-Examples of continuous quantitative data include distance, speed, and weight measurements, which can have fractional values.

### How does qualitative data differ from quantitative data?

-Qualitative data describes qualities using words rather than numbers. Quantitative data measures quantities using numbers.

### What are some examples of qualitative data provided in the video?

-Examples of qualitative data include color, feel or texture, taste, sound volume, and smell - all described with words rather than numbers.

### What are the two options you have to categorize data in the quiz examples?

-In the quiz examples, you have to categorize each data item as either quantitative or qualitative data.

### If data involves counting whole numbers of something, what type of quantitative data is it?

-If data involves counting whole numbers of something, it is discrete quantitative data.

### What type of data is the description 'the cat's fur is rough'?

-The description 'the cat's fur is rough' is qualitative data, as it describes a sensory quality using words rather than numbers.

### What is the main benefit provided from the quiz examples?

-The main benefit of the quiz examples is that it allows you to check your understanding of the differences between quantitative and qualitative data.

###### Outlines

##### π Types of Data: Quantitative and Qualitative

This paragraph introduces the two main types of data - quantitative and qualitative. Quantitative data is numerical and can be either discrete (based on counting whole numbers like the number of cats) or continuous (measured values like distance). Qualitative data uses descriptive words rather than numbers to describe qualities like color, feel, taste, sound, and smell.

##### π§ Checking Understanding of Data Types

This paragraph quizzes the viewer to check their understanding of quantitative vs qualitative and discrete vs continuous data types. Examples are provided like number of dogs (quantitative discrete), cat fur color (qualitative), height in feet (quantitative continuous), and fur feel (qualitative).

###### Mindmap

###### Keywords

##### π‘data

##### π‘quantitative data

##### π‘discrete data

##### π‘continuous data

##### π‘qualitative data

##### π‘senses

##### π‘color

##### π‘counting

##### π‘measurement

##### π‘examples

###### Highlights

Quantitative data uses numbers, qualitative data uses words

Qualitative data usually involves the five senses - visual, feel, taste, hearing, smell

Anything that can be counted falls under discrete quantitative data

Anything that can be measured is continuous quantitative data - distance, speed, weight

If dealing with a number, it's quantitative data

The number of dogs is discrete data since you can't have partial dogs

Color described with words is qualitative data

Height in feet is continuous quantitative data involving measurement

Rough fur described with words is qualitative data

Quantitative data uses numbers, qualitative data uses words to describe observations

Discrete data deals with counting whole numbers, continuous data involves measurements

Qualitative data describes visual, texture, taste, sound, smell senses with words

Counting discrete things like dogs or cats gives quantitative discrete data

Measuring weight or height gives quantitative continuous data

Describing color, feel, roughness, etc. with words gives qualitative data

###### Transcripts

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