Which of the following is a feature of qualitative research?

Exploration of complex phenomena

Statistical comparison of variables

What is the primary purpose of using qualitative data in research?

To provide insights into people's experiences and feelings

To conduct statistical analysis

Which method is commonly used to collect qualitative data?

Surveys with closed-ended questions

What distinguishes quantitative data from qualitative data?

Quantitative data is numerical and can be measured

Qualitative data can be counted

Quantitative data describes qualities

Qualitative data is always correct

Data Science Qualative vs Quantative Data

Data Science: Qualitative vs Quantitative Data

Science in daily life, importance of science, Filipino inventors like maria ylagan orosa, Benjamin Almeda, Dr. Fe del Mundo, Rolando dela Cruz, Roberto del Rosario, Gregorio Zara, diosdado bonatao, Edgardo Vasquez. While for foreign inventors Johannes Gutenberg and Hedy Lamar. Science process skills such as observing(qualitative & quantitative), measuring, classifying, inferring, predicting, communicating, interpreting data, graphic organizers, graph. Scientist, scientific attitude and values. Scientist, biologist, chemist, oceanographer, geolist, astronomer, meteorologist. Scientific attitude and values such as curiosity, objectivity, open mindedness, honesty, patience, determination, acceptance of failure. Flammable and reactive materials. Physical and chemical property. Biodegradable and non biodegradable materials. Cause and effect of decay. Control of decay

Research: Scientific Attitudes These are the traits that scientists and researchers practice to ensure reliable results and good research work: Curiosity – Desire to ask questions and seek answers. Drives exploration and discovery. Example: Wondering why leaves change color in autumn. Intellectual Honesty – Reporting observations and results truthfully, even if they don’t support your hypothesis. Open-Mindedness – Willingness to accept new ideas and consider other perspectives. Perseverance – Continuing research despite difficulties or failures. Objectivity – Avoiding bias; basing conclusions only on evidence and facts. Positive Attitude Towards Failure – Viewing mistakes as opportunities to learn and improve. Skepticism – Questioning results and not accepting claims without sufficient evidence. Observation and Inference Observation – Using the senses (or tools) to gather information. Qualitative Observation → Describes qualities (color, shape, texture). Quantitative Observation → Uses numbers or measurements (height, mass, temperature). Inference – Logical explanation or conclusion based on observations and prior knowledge. Example: Seeing smoke and inferring there is fire. 🔎 Science Process Skills These are steps used in scientific investigations: Observing – Using senses and instruments to gather data. Inferring – Making explanations based on observations. Predicting – Stating what you think will happen based on patterns or evidence. Communicating – Sharing results through words, graphs, charts, or reports. Classifying – Grouping objects or data according to similarities and differences. Ordering/Sequencing – Arranging objects or events in correct order (time, size, importance). Measuring – Using standard units and instruments to describe length, mass, volume, time, etc. 📏 Measurement and Measuring Instruments Measurement – The process of comparing an unknown quantity with a standard unit. Common Quantities and Instruments: Length/Distance – Ruler, Meter Stick, Vernier Caliper, Tape Measure. Mass – Balance (triple beam, electronic). Volume – Graduated Cylinder, Measuring Cup, Pipette, Burette. Temperature – Thermometer. Time – Stopwatch, Clock. Electric Current – Ammeter. Voltage – Voltmeter. Key Idea: Accurate measurement requires using the correct instrument and unit (SI Units).

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Data Science Informatics

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