Biology Osmosis and Science Skills

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38 Terms

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osmosis

The passive movement of water from a low solute concentration to a high solute concentration through a selectively permeable membrane.

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diffusion

The passive movement of molecules from an area of high concentration to an area of low concentration.

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tonicity

Tonicity describes the relative concentration of solutes in two solutions separated by a semipermeable membrane.

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hypertonic solution

A solution with a higher solute concentration compared to another, causing water to move into it.

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hypotonic solution

A solution with a lower solute concentration compared to another, causing water to move out of it.

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isotonic solution

A solution with equal solute concentration compared to another, resulting in no net water movement.

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plant cells in a hypotonic solution

They swell and become turgid due to water intake.

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animal cells in a hypotonic solution

They may swell and burst (lyse).

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cells in a hypertonic solution

Water leaves the cells, causing them to shrink.

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molecule that can freely diffuse

Oxygen (O₂) or carbon dioxide (CO₂).

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ions and membrane diffusion

Because they are charged and cannot pass through the nonpolar lipid bilayer.

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factors affecting the rate of diffusion

Temperature, concentration gradient, surface area, molecule size, and polarity.

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aquaporins

Protein channels that facilitate faster water movement across the membrane.

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percentage change in mass formula

% Change = (Final Mass - Initial Mass) / Initial Mass × 100

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type of transport for osmosis and diffusion

Passive transport - they do not require energy.

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What is the purpose of developing aims and questions in a biology investigation?

To guide the direction of the investigation and focus data collection.

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What are independent, dependent and controlled variables?

Independent: the variable changed; Dependent: the variable measured; Controlled: variables kept constant.

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What is a hypothesis?

A testable prediction that explains what might happen in an experiment.

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Why are hypotheses important?

They provide a focus for the investigation and allow predictions to be tested.

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What is a controlled experiment?

An experiment in which only one variable is changed at a time to test its effect.

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What are examples of investigation methodologies?

Case study, classification and identification, controlled experiment, correlational study, fieldwork, literature review, modelling, simulation, product/system development.

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Why is it important to select appropriate equipment and procedures in an investigation?

To ensure valid, accurate and reliable data are collected and sources of error are minimised.

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What is the difference between qualitative and quantitative data?

Qualitative data is descriptive; quantitative data is numerical.

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What must be considered when designing sampling techniques?

Sample size, representation, potential bias, and sources of error or uncertainty.

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Why is collaboration important in scientific investigations?

It allows for more perspectives, verification, and division of tasks within constraints.

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What is the purpose of a risk assessment in scientific investigations?

To identify and minimise potential safety hazards using SDS and lab safety guidelines.

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How is primary data different from secondary data?

Primary data is generated by the researcher; secondary data is obtained from existing sources.

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What are accuracy and precision?

Accuracy: closeness to the true value; Precision: consistency of repeated results.

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What are repeatability and reproducibility?

Repeatability: consistent results within the same lab; Reproducibility: consistent results across different labs.

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What are random and systematic errors?

Random: unpredictable variation; Systematic: consistent bias in measurement.

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How do you identify outliers?

Data points that deviate significantly from the rest of the data set.

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Why should experiments be repeated?

To improve the reliability and robustness of results.

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How can investigations be improved?

By refining methods, controlling variables more effectively, and reducing sources of error or bias.

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What is an evidence-based conclusion?

A conclusion that is directly supported by experimental data and not opinion.

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How do you evaluate if evidence supports a hypothesis?

Compare results to the predicted outcomes stated in the hypothesis.

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What are the limitations of scientific conclusions?

Limited data, uncontrolled variables, sample size, or measurement uncertainty.

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What is the role of scientific reasoning in conclusions?

To justify findings logically based on the data and context.

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Why is it important to distinguish opinion from evidence?

To ensure conclusions are scientifically valid and not biased or anecdotal.