Free Online Flashcard Deck

14/14 Chemical Laboratory Methods and Quantitative Analysis Free Online FlashCards

Study 14/14 Chemical Laboratory Methods and Quantitative Analysis with 12 free online flashcards. Review key terms, definitions, and concepts with this interactive flashcard deck.

12 cards
01
Front

What does the RAMP framework stand for?

Back

RAMP means Recognize hazards, Assess risks, Minimize risks, and Prepare for emergencies.

02
Front

How do independent and dependent variables differ?

Back

The independent variable is deliberately changed; the dependent variable is measured in response to that change.

03
Front

What is a replicate?

Back

A replicate repeats measurement under independently repeated experimental conditions, including relevant preparation or sampling steps.

04
Front

What is the difference between precision and accuracy?

Back

Precision is the closeness of repeated measurements to one another; accuracy is agreement with an accepted value or reference standard.

05
Front

How do random and systematic errors differ?

Back

Random error produces unpredictable trial-to-trial variation and can be reduced by replication. Systematic error shifts results consistently and is not removed by repetition alone.

06
Front

What is the formula for the sample mean?

Back

The sample mean is x̄ = (1/n) Σxᵢ, where n is the number of measurements and xᵢ is an individual measurement.

07
Front

What does the standard error of the mean describe?

Back

The standard error of the mean is sₓ̄ = s/√n. It estimates uncertainty in the mean from random sampling variation.

08
Front

Which graph suits two quantitative variables?

Back

Use a scatter plot for two quantitative variables; place the independent variable on the horizontal axis and the dependent variable on the vertical axis.

09
Front

What is a residual, and what pattern supports a model?

Back

A residual is eᵢ = yᵢ − ŷᵢ, the measured value minus the model-predicted value. Random residuals with roughly constant spread support a model.

10
Front

What is the first-order law of uncertainty propagation?

Back

For independent inputs, u²c(y) = Σ[(∂f/∂xᵢ)²u²(xᵢ)]. This combines input standard uncertainties through the measurement equation.

11
Front

How are uncertainties propagated for addition or subtraction?

Back

For addition or subtraction, combine absolute uncertainties in quadrature: u(y) = √[u(a)² + u(b)²].

12
Front

How are uncertainties propagated for multiplication or division?

Back

For multiplication or division, combine relative uncertainties in quadrature: (u(y)/y)² = (u(a)/a)² + (u(b)/b)².