Module 1 Flashcards

(29 cards)

1
Q

What is an independent variable (2)

A
  • variable that is changed in an experiment
  • done to test its effects on the dependent variable
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2
Q

What is a dependent variable ? (2)

A
  • variable that is measured in an experiment
  • this variable is affected by the independent variable
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3
Q

What are controlled variables (2) ?

A
  • factors that are kept constant during an experiment
  • these ensure that any changes in the dependent variable are due to the independent variable only
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4
Q

What is the mean of a data set ?

A

The mean is a measure of average.

  • This is the sum of all values divided by the number of values in the data set
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5
Q

What are qualitative observations? (2)

A
  • Qualitative observations are observations that deal with descriptions.
  • For example, this would include colours
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6
Q

Quantitative observations

A

numerical values

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7
Q

What is accuracy ?(2)

A
  • Accuracy describes how close a reading is to the true value.
  • A value is considered accurate if it is close to the true result
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8
Q

How do you interpret volumes ?

A
  • When reading volume from a measuring cylinder or syringe, take the measurement from where the meniscus is.
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9
Q

How do you reduce random errors in measurements? (3)

A
  • To reduce random errors, take multiple measurements and calculate an average.
  • Use more precise instruments.
  • Increase sample size
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10
Q

What is the uncertainty in a measurement? (2)

A
  • Uncertainty is the range within which the true value is expected to lie.
  • This is given by the precision of the instrument used and the repeatability of the measurements
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11
Q

How do you calculate the percentage uncertainty of a measurement ? (1)

A

To calculate the percentage uncertainty use
(Absolute uncertainty / Measurement value) x 100.

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12
Q

What should you include when drawing a graph in an experiment (4)

A
  • Labelled axes (with units).
  • Title.
  • Line of best fit.
  • Data points plotted (with error bars if applicable).
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13
Q

What is the purpose of a control experiment (3)

A

A control experiment is used to compare results.

  • This helps to confirm that the effect on the dependent variable is due to the independent variable alone.
  • This ensures that the results were obtained without any interference from other factors
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14
Q

How do you ensure an experiment is reliable ?( 3)

A
  • To ensure an experiment is reliable, repeat the experiment multiple times.
  • Maintain consistent controlled variables.
  • Use precise instruments
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15
Q

What are systematic errors ? (2)

A
  • Systematic errors are consistent, repeatable errors.
  • They are caused by faulty equipment or flawed experimental design.
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16
Q

How can systematic errors be minimised ? (3)

A
  • Calibrate instruments.
  • Use appropriate methods.
  • Cross-check results with different methods
17
Q

Why is it important to calibrate instruments before taking measurements? (3)

A
  • Calibrating instruments ensures that they provide accurate readings.
  • This is done by comparing them to a known standard.
  • Thereby, systematic errors are reduced.
18
Q

What is a colorimeter? (2)

A
  • A colorimeter is apparatus that measures light absorbance or light transmission.
  • It is used to measure colour change
19
Q

what questions are asked in a risk assessment? (3)

A

What could harm you?

  • What harm could it cause you?
  • What actions could be put in place to prevent / treat harm?
20
Q

What are some ways in which pH is measured? (3)

A
  • Indicator paper.
  • Indicator solution.
  • pH metre.
21
Q

How is length measured

A

ruler
tape measure

22
Q

What needs to be considered when measuring length? (2)

A
  • The scale needs to be considered.
  • High enough precision of equipment should be ensured.
23
Q

How is temperature measured

A

thermometer
data logger

24
Q

How is volume of a gas measured

A

using a gas syringe

25
How is volume of a solution measured ?
- measuring cylinder - syringe
26
How is time measured ?
stop watch
27
how is mass measured
using balances/scales
28
What is an anomaly
an outlier in a set of results
29
What is standard deviation (2)
- measures the spread of data around the mean value - this is useful when comparing consistency between diff data sets.