Concepts that guide scientific investigations Flashcards
Steps to form a hypothesis
- Identify the problem: observe & determine problem to be investigated
- Ask ?s: Ask ?s & attempt to formulate a solution to problem
- Form hypothesis: form explanations to answer ?s. This involves making predictions that follow from the initial statement of the problem. The language used within a hypothesis must be well-defined, such that an subsequent testing of hypothesis is not subject to erroneous interpretation
Quantitative data
- Deals with numbers
- Data which can be measured.
- Length, height, area, volume, weight, speed, time, temperature, humidity, sound levels, cost, members, ages, etc
Qualitative data
- Deals with descriptions.
- Data can be observed but not measured.
- Colors, textures, smells, tastes, appearance, beauty, etc.
Rules of logic that govern scientific method are presented in which proper order
- Problem identification
- Question asking
- Hypothesis development
- Data collection & experimentation
- Analysis
- Conclusion
Steps to form a hypothesis (first 3 steps of scientific method rules of logic)
- Identify the problem: observe & determine problem to be investigated
- Ask ?s: Ask ?s & attempt to formulate a solution to problem
- Form hypothesis: form explanations to answer ?s. This involves making predictions that follow from the initial statement of the problem. The language used within a hypothesis must be well-defined, such that an subsequent testing of hypothesis is not subject to erroneous interpretation
Data collection steps
- Observation (using 5 senses)
- Measurement (allows for collection of quantitative data)
- Samples (collection from a representative sample of population)
- Organization (tables/charts)
Experimentation
-comparing a control group and an experimental group that both equally represent the population
-experimental group is different from control based on 1 variable
(what effect does the independent variable have on the dependent variable)
Analysis
determine if data is reliable (consistent with past results) and whether or not it supports hypothesis
Conclusion
- produce models to represent the explanations supported by the data
- carefully worded and consistent with hypothesis
- it’s a theory; thought to be true but may be proven incorrect when technology enables better data collection
inference
used often in research as a way of drawing conclusions without direct observations
Deductive reasoning
method whereby conclusions follow from general principles
Inductive reasoning
method of arriving at general principles from specific facts