1 Practical skills in Chemistry Flashcards

1
Q

What are the 2 types of research

A

The 2 types of research are primary research and secondary research

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2
Q

Define primary research

A

Primary research is new data that is collected and conclusions are drawn from it

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3
Q

Define secondary research

A

Secondary research is when data from other studies are used in different ways to draw conclusion

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4
Q

What is an aim?

A

An aim is either a question that needs answering or a hypothesis that must be tested

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5
Q

What is a hypothesis?

A

A hypothesis is a prediction using trusted info and their own scientific knowledge

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6
Q

What is a valid experiment?

A

A valid experiment gives info to test the aim of the experiment.

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7
Q

What are 2 types of primary research?

A

The 2 types of primary research are surveys and experiments

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8
Q

What is a type of secondary research?

A

Meta study (which uses raw data from other studies to try answer a new aim) is a type of secondary research.

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9
Q

What is quantitative data?

A

Quantitative data has a numerical value and must require a measuring instrument to be observed

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10
Q

What is qualitative data?

A

Qualitative data is descriptions of what is being observed

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11
Q

What is resolution?

A

Resolution is the smallest change in the quantity measured.

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12
Q

What is accuracy?

A

Accuracy is how close a measurement is to the true value

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13
Q

What is an experiment?

A

An experiment is ordered practical steps to test a hypothesis.

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14
Q

Define variable

A

Variables are factors that affect the outcome of an experiment

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15
Q

Define independent variable

A

An independent variable is the factor that you want to change to see the effect it has on another factor.

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16
Q

Define dependent variable

A

A dependent variable is the factor you are measuring in an experiment

17
Q

Define control variable

A

A control variable is the factor you are keeping constant so results can be compared.

18
Q

Define extraneous variable

A

An extraneous variable is a factor that is not controlled or measured however it may produce error in the results.

19
Q

What is a plan?

A

A plan is a summary of the experiment

20
Q

What is a method?

A

A method is a detailed step-by-step explanation on how to do the experiment

21
Q

What does continuous variable mean?

A

Continuous variables are a measured value that could be any number (e.g. temperature)

22
Q

What does discrete variable mean?

A

Discrete variable are values that can only be a specific number (e.g. atomic number)

23
Q

What are categoric variables?

A

Categoric variables are a qualitative description (e.g. colour of a precipitate)

24
Q

Define concordant results

A

Concordant results are values that are close to each other so they show reliabe quantitative data.

25
Define anomalous results
Anomalous results do not follow the general trend of the data
26
Define repeatable results
Repeatable results are values that give similar or concordant results when repeating the experiment.
27
Define reproducible results
Reproducible results are results that give similar values when other people do the same experiment
28
Define reliable results
Reliable results are similar when repeated
29
Define accurate results
Accurate results are close to the true value
30
Define false positive
A false positive is when a positive result is produced but not due to the desired product being made.
31
Define margin of error
Margin of error shows the range that a value lies within
32
Define precision
Precision is the degree to which repeated values in an experiment, collected in the same conditions, show the same result
33
Define weighing by difference
Weighing by difference is a method that is used to accurately weigh the amount of material transferred
34
Define percentage error
Percentage error is a way of comparing the experimental value with the actual value
35
Define parallax error
Parallax error is caused when the scale is read from a different angle, showing a different result than the accurate value
36
What are the 2 factors that cause uncertainty?
Systematic error and random errors causes uncertainty in data