1 - Nature of Science and Investigation Design Flashcards

This deck explores the intricate relationship between science, engineering, and technology. You'll learn how these fields work together to drive innovation and address complex issues. By understanding the fundamental principles of each discipline, you'll gain insights into the collaborative nature of problem-solving. (48 cards)

1
Q

Define:

scientific method

A

A process to study observations, test hypothesis, and draw conclusions.

The scientific method typically includes steps such as making observations, conducting background research, forming a hypothesis, conducting experiments, analyzing results, and drawing conclusions.

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2
Q

Explain:

What does it mean for science to be interdisciplinary?

A

It integrates knowledge from multiple fields to solve complex problems.

Fields like biochemistry, astrophysics, and environmental science combine principles from different disciplines to expand scientific understanding.

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3
Q

Identify:

What is the final step in the scientific method?

A

Drawing conclusions.

In this step, researchers analyze the results, interpret the data, and determine whether the hypothesis is supported or rejected based on the evidence.

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4
Q

Identify:

What are the 3 main types of scientific investigations?

A
  1. Descriptive
  2. Comparative
  3. Experimental

Descriptive - involve observations

Comparative - analyze differences or similarities

Experimental - test hypotheses through controlled experiments

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5
Q

Explain:

What is the purpose of making generalizations in science?

A

To form broader conclusions based on patterns in data.

Generalizations help scientists predict future events and refine scientific theories.

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6
Q

True or False:

Scientific knowledge is always absolute and unchanging.

A

False

Scientific knowledge evolves with new evidence and advancements in technology, making it a dynamic process.

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7
Q

Fill in the blank:

A well-supported explanation of natural phenomena is a _______ _______.

A

scientific theory

Scientific theories, such as the theory of evolution, are based on extensive evidence and repeated testing over time.

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8
Q

Define:

scientific law

A

A statement describing consistent natural phenomena.

Examples include Newton’s laws of motion and the law of gravity. Unlike theories, laws describe what happens, not why.

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9
Q

Explain:

How do scientific laws and theories differ?

A

Laws describe what happens; theories explain why.

Laws predict natural behaviors (e.g., gravity), while theories provide explanatory frameworks (e.g., relativity).

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10
Q

Explain:

Why is peer review important in science?

A

To ensure the accuracy, quality, and credibility of research.

Peer-reviewed research is evaluated by experts in the field, ensuring the reliability of findings before publication.

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11
Q

Explain:

What are the differences between repetition and replication in scientific research?

A
  • Repetition involves repeating experiments by the same researcher.
  • Replication means independent researchers confirm the results.
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12
Q

Explan:

What is the difference between independent and dependent variables?

A
  • Independent variable - variable that is manipulated or changed by the researcher in an experiment.
  • Dependent variable - variable that is measured or observed in an experiment.

For example, in a plant growth experiment, sunlight (independent variable) affects the height of plants (dependent variable).

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13
Q

Define:

hypothesis

A

A testable statement predicting the outcome of an investigation.

A good hypothesis is specific, measurable, and based on prior knowledge or research.

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14
Q

Define:

control group

A

Group of subjects that do not receive the treatment being tested.

Control groups are essential to compare the effects of the variable being tested and to ensure the experiment’s validity.

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15
Q

Explain:

What is scientific notation used for?

A

Expressing very large or small numbers concisely.

Example: The speed of light (300,000,000 m/s) is written as 3.0 × 10⁸ m/s in scientific notation.

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16
Q

Identify:

What do significant figures represent?

A

The precision of a measurement.

Significant figures indicate how accurate a measurement is based on the precision of the measuring tool.

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17
Q

Identify:

What is the standard system of measurement in science?

A

The International System of Units (SI).

SI units ensure consistency in scientific research, including meters (length), kilograms (mass), and seconds (time).

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18
Q

Explain:

What is dimensional analysis used for?

A

It converts units and ensures measurement consistency.

Scientists use dimensional analysis to compare different unit systems and verify calculations in physics and chemistry.

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19
Q

Fill in the blank:

Accurate data collection helps reduce ______ in scientific investigations.

A

error

Properly calibrated equipment and consistent procedures minimize human and instrument-related errors.

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20
Q

Identify:

What does error analysis involve?

A

Addressing factors affecting accuracy and reliability.

Common errors include instrument calibration, data entry mistakes, and environmental variability.

21
Q

True or False:

Random errors can be eliminated by improving experimental design.

A

False

Random errors occur due to uncontrollable fluctuations (e.g., human reaction time, environmental conditions). They can be reduced by taking multiple measurements and averaging results, but they cannot be eliminated entirely.

22
Q

Explain:

Why are multiple trials conducted in experiments?

A

To increase the reliability and accuracy of results.

Repeating trials reduces the impact of outliers and random errors.

23
Q

Identify:

What is the role of controls in scientific experiments?

A

To provide a baseline for comparison.

Controls help isolate the effect of the independent variable on the dependent variable.

24
Q

Describe:

How does randomization help reduce bias in experiments?

A

By ensuring all variables are evenly distributed across groups.

Randomization prevents systematic errors and increases the reliability of conclusions.

25
# Explain: Why is sample size **important** in experiments?
Larger sample sizes reduce *variability* and increase result *reliability*. ## Footnote Adequate sample sizes **ensure** statistical significance and generalizability.
26
# Define: data visualization
A way to present **results** with charts, graphs, and tables. ## Footnote Visual representations make complex data **easier** to understand and analyze.
27
# Explain: What are the **key steps** in processing scientific data?
* Collecting data * Organizing data * Analyzing data * Interpreting results ## Footnote **Collecting data** – Gathering observations or measurements. **Organizing data** – Structuring data for easy analysis. **Analyzing data** – Identifying patterns and trends. **Interpreting results** – Drawing conclusions based on analysis.
28
# Explain: What is the **difference** between *qualitative* and *quantitative* data?
* **Qualitative data** describes *traits*. * **Quantitative data** uses *numbers*. ## Footnote Both types of data are **essential** for providing a complete understanding of experimental results.
29
# Explain: What is **reproducibility** in scientific investigations?
The ability to **achieve** the same results when experiments are repeated. ## Footnote Reproducibility is a cornerstone of scientific credibility, ensuring findings are *consistent* across different studies.
30
# True or False: Documenting procedures **ensures** replication and transparency.
True ## Footnote Detailed documentation ensures other researchers can *validate* findings and *reproduce* experiments.
31
# Identify: What is **experimental bias**?
A systematic **error** caused by subjective influences. ## Footnote Bias can occur unintentionally, such as when researchers favor certain outcomes, affecting the validity of results.
32
# Explain: 3 causes of **experimental bias**
1. Subtle cues 2. Data interpretation 3. Selection bias ## Footnote **Subtle cues**: Researchers might unintentionally give subtle cues to participants, influencing their behavior.  **Data interpretation**: Researchers might unconsciously favor data that supports their hypothesis and downplay or ignore data that contradicts it.   **Selection bias**: Researchers might unintentionally select participants or assign them to groups in a way that favors a particular outcome. Bias can occur at **any** stage, including the design, data collection, and interpretation of experiments.
33
# Explain: Why is it important to **inspect** glassware and other equipment before use?
To **ensure** it is free of cracks or defects. ## Footnote Damaged equipment can cause accidents, such as spills or breakages, leading to safety hazards.
34
# Define: PPE
Personal Protective Equipment ## Footnote PPE refers to clothing and equipment designed to **protect** individuals from workplace hazards, such as chemical, biological, or physical dangers.
35
# Explain: What are **four common types** of lab PPE?
1. Gloves 2. Goggles 3. Lab Coats 4. Face Shields ## Footnote **Gloves** – Protect hands from chemicals, heat, or contamination. **Goggles** – Shield eyes from splashes and debris. **Lab Coats** – Prevent chemical spills from contacting clothing and skin. **Face Shields** – Provide additional protection against splashes and fumes.
36
# Explain: Why should PPE be **inspected** before use?
To **ensure** it is in good condition and free of defects. ## Footnote Damaged PPE, such as torn gloves or scratched goggles, may *fail* to provide adequate protection.
37
# True or False: All chemicals can be **safely** disposed of down the drain.
False ## Footnote Many chemicals require **special** disposal methods to prevent environmental harm or safety hazards.
38
# Explain: What should be done in case of a **chemical spill** in a lab?
* Follow spill response protocols. * Use absorbents. * Notify lab authorities. ## Footnote The response *depends* on the chemical—for acids, use **neutralizers**; for organic solvents, use **absorbent pads.** *Emergency eyewash stations* and *ventilation* should be used if necessary.
39
# Explain: What is the **purpose** of **calibrating equipment**?
To ensure **accurate** and **reliable** measurements. ## Footnote Calibration aligns equipment with **standard** values, reducing systematic errors in experiments.
40
# True or False: Calibration is **unnecessary** if equipment is new.
False ## Footnote All equipment must be calibrated **before** use to ensure accuracy, regardless of its condition.
41
# Define: precision
How **consistently** measurements produce the same result. ## Footnote Precise results are **repeatable**, even if they are *not necessarily accurate*.
42
# Identify: What term refers to **how close a measurement** is to the true value?
accuracy ## Footnote **Accuracy** reflects the closeness of a measurement to the actual or accepted value. A highly accurate measurement has minimal error relative to the true value.
43
# True or False: Systematic errors **can be eliminated** with better calibration.
True ## Footnote *Systematic errors* come from consistent flaws in equipment or methods and can be corrected with calibration.
44
# Explain: Why is choosing the **right** **equipment** crucial for an experiment?
To **ensure** efficiency, accuracy, and safety. ## Footnote Using unsuitable equipment can *lead* to inaccurate results or increased risk of accidents.
45
# Identify: What does **MSDS** stand for?
Material Safety Data Sheets ## Footnote **MSDS** includes details about hazards, first aid measures, and proper emergency responses for substances.
46
# True or False: Safety procedures are only needed for **hazardous** materials.
False ## Footnote *Safety procedures* should be followed in all scenarios to prevent accidents and protect individuals in the lab or field.
47
# Identify What are 3 key **principles** of safe chemical storage?
1. Proper labeling 1. Compatibility 1. Secure containment ## Footnote *Proper labeling*, *compatibility*, and *secure containment* ensure chemicals are clearly identified, stored safely with compatible substances, and sealed to prevent leaks or spills.
48
# Explain: Why is **proper labeling of chemicals** important in a laboratory?
To prevent **accidents**, **misuse**, and **contamination**. ## Footnote Labels must include the *chemical name*, *concentration*, *hazards*, *storage requirements*, and *first-aid measures*. Unlabeled chemicals increase **risk** in emergency situations.