2.00_Study of Biology_Characteristics of Life Biology I Data Types: Quantitative & Qualitative Slides 108-116

Measuring Involves quantitative data that can be measured in numbers &/or qualitative data information that isn’t numbers Sampling Technique of using a sample – a small part – to represent the entire population

Kinds of Information 1. Quantitative   Quantitative includes those things that can be measured. Data collection is a method in which data that can be numerically counted or expressed is collected. This data is useful for experiments, manipulated analysis, etc. and is represented by histograms, tables, charts, and graphs. It deals with measurements like height, length, volume, area, humidity, temperature, etc. For example; Height = 2.8m. Or sometimes they represent the exact number like, Number of students = 234. This type of data is associated with some type of scale measurement. The most commonly used scale for this data is a ratio scale. Another general scale measurement is the interval scale. Quantitative data is criticized for its lack of in-depth description thus it is used by researchers along with qualitative data to back up its reliability with explanations of the qualitative information. Qualitative observations use your senses to observe the results. (Sight, smell, touch, taste and hear.)

Kinds of Information 2. Qualitative   Qualitative data describes the situation and reaction in descriptive terms.  Collection is a method in which the characteristics, attributes, properties, qualities, etc. of a phenomenon or thing is described. It is the description of data in a language rather than in numbers. This method does not measure the characteristics but describes them. For example; Favorite color = blue It is also sometimes referred to as “categorical data.” It does not focus on drawing any inferences. It only deals with data that can be observed like texture, taste, smell, beauty, but is not measured. Quantitative observations are made with instruments such as rulers, balances, graduated cylinders, beakers, and thermometers. These results are measurable.

Qualitative Data Quantitative Data  Overview: Overview:   Deals with descriptions. Data can be observed but not measured. Colors, textures, smells, tastes, appearance, beauty, etc. Qualitative → Quality Deals with numbers. Data which can be measured. Length, height, area, volume, weight, speed, time, temperature, humidity, sound levels, cost, members, ages, etc. Quantitative → Quantity  Example 1: Oil Painting Qualitative data: Quantitative data: blue/green color, gold frame smells old and musty texture shows brush strokes of oil paint peaceful scene of the country masterful brush strokes picture is 10" by 14" with frame 14" by 18" weighs 8.5 pounds surface area of painting is 140 sq. in. cost $300

Qualitative Data Quantitative Data Example 2:   Latte Qualitative data: Quantitative data: robust aroma frothy appearance strong taste burgundy cup 12 ounces of latte serving temperature 150º F. serving cup 7 inches in height cost $4.95 Example 3: Freshman Class friendly demeanors civic minded environmentalists positive school spirit 672 students 394 girls, 278 boys 68% on honor roll 150 students accelerated in mathematics

Qualitative vs. Quantitative Data https://www.youtube.com/watch?v=6yzT3jgEm54

Quantitative vs.Qualitative Data https://www.youtube.com/watch?v=EcKrT_IegoU

Comparing Quantitative and Qualitative Data https://www.youtube.com/watch?v=Zx2UGrXPqzY

Collecting Qualitative and Quantitative Data Now it's your turn! https://www.youtube.com/watch?v=3ceU9vY_jIk