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How to Design a Scientific Investigation

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RESEARCH QUESTION AND BACKGROUND

RESEARCH QUESTION

Complete the following:

  • Use the format - ‘What is the effect of (IV) on (DV)...”
  • Add the most important controlled variable at the end. For example - ‘What is the effect of the volume of water given to spinach plants (IV) on their height (DV) after six weeks?

BACKGROUND INFORMATION

Complete the following:

  • Describe the relevance of your investigation. Why is this an important topic to investigate? What new knowledge do you hope to gain?

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HYPOTHESIS AND SCIENTIFIC EXPLANATION

HYPOTHESIS

Complete the following:

  • Use the format - ‘I predict that increasing (IV) will (increase/decrease) (DV).’
  • For example - ‘I predict that increasing the mass of a dynamics cart will decrease its rate of acceleration.’

SCIENTIFIC EXPLANATION

Complete the following:

  • Explain your hypothesis using scientific reasoning.
  • Describe “the science behind” the expected change. Science often describes things that we cannot see with our naked eyes.
  • Incorporate knowledge you have learned during the unit, Don’t just rely on common knowledge or things you’ve learned in the past.
  • Use cause/effect sentences. Incorporate words such as: because, so, which causes, as a result etc.
  • Use science language from your research or the class vocabulary list. Define these terms if necessary.
  • Consider using equations and/or diagrams to help your explanation.

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INDEPENDENT AND DEPENDENT VARIABLES

Complete the following:

  • State your IV.
  • Choose an IV that is quantifiable (ie. measurable using numbers), no “kinds” or “types”.
  • Describe how you will accurately measure and/or control your IV, including the equipment and units you will use.
  • Either state that you will collect 25 samples for your IV, OR, select five levels for your IV range, including a control if possible.
  • Justify your choice of range using research and/or logic.
  • If you can’t choose a logical IV range (maybe for safety or because you don’t have the equipment) explain why.
  • State your DV.
  • Describe how you will accurately measure your DV, including equipment and units.
  • Use SI units (eg. metres, seconds, kilograms).

INDEPENDENT VARIABLE

(The one that you will change)

DEPENDENT VARIABLE

(The one that will change as a result of changing your independent variable)

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CONTROLLED VARIABLES

Complete the following:

  • Identify the variables that will make your data unreliable if they are not controlled.
  • Use scientific reasoning to describe how they would affect your data if not controlled.
  • Describe how you will make sure these variables are controlled. Use specific values if appropriate. Remember that you don’t necessarily have keep these variables constant, so long as they’re the same for all test subjects (eg. You don’t need to give plants a constant source of light, just make sure all of the plants get the same amount of light throughout the day.

Variable

Possible Effect on Data

Control Method

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AVOID A COMMON MISTAKE

Don’t write about your independent variable in this section. By definition the independent variable MUST change, whereas controlled variables stay the same.

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EQUIPMENT AND MATERIALS

Complete the following:

  • Do not include obvious things for every lab, like paper and pen for recording data.
  • Include clear sizes eg. 1 x 200mL beaker.
  • Include clear quantities eg. 30 x sunflower seeds.
  • Add important descriptors related to controlled variables eg. 2 x new 1.5V AAA batteries.

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WRITTEN PROCEDURE

Complete the following:

  • Describe your experiment, including enough detail in your procedure that a classmate could replicate it exactly.
  • Assume your reader has the same level of knowledge as you. So, don’t over-explain steps. For example, don’t explain the individual steps of using a mass balance or Bunsen burner.
  • Include instructions for controlling the controlled variables.
  • Include a step that says to take 25 samples, OR, include a step with instructions to test the five different levels of the IV, and include instructions for five repeated trials.
  • Consider including a diagram to help your description.

!

AVOID A COMMON MISTAKE

Don’t copy and paste repeated steps. Instead write something like ‘Repeat steps 2-5 using 2mL, 4mL, 6mL and 8mL of water’.

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SAFETY, ENVIRONMENT AND ETHICS

Complete the following:

  • Identify any important safety, environmental or ethical issues involved in this lab.
  • For safety, consider the dangers of any equipment used such as glassware, any chemicals used, any chemicals produced, and any actions that may cause harm to you or anyone else.
  • For environmental, consider the effect on the environment of the use, manufacture and disposal of any materials or equipment . Ensure that the amounts of materials you use are as low as possible to avoid unnecessary waste.
  • For ethical, consider whether it is ethical to use money and materials for this investigation when it could be used for other things.

Consideration

Possible Hazard/Issue

Control Method

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RAW DATA

QUALITATIVE OBSERVATIONS

Complete the following:

  • List all observations that potentially affected the data.
  • Don’t include observations are repeats of the measured data (IV/DV).

QUANTITATIVE DATA

Complete the following:

  • Replace the words in the table below with your own title, headings and units.
  • Place ONLY NUMBERS AND DECIMAL POINTS in all other cells.
  • Keep the number of decimal places in the data consistent.

Descriptive title that includes the IV and DV

Dependent Variable (Units)

Independent Variable (Units)

Trial 1

Trial 2

Trial 3

Trial 4

Trial 5

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PROCESSED DATA

EXAMPLE CALCULATIONS

Complete the following:

  • Demonstrate ONE example of all calculations you performed.
  • State in plain language the calculation you carried out and why.

PROCESSED DATA TABLE

Complete the following:

  • Replace the words in the table below with your own title, headings and units.
  • Place ONLY NUMBERS AND DECIMAL POINTS in all other cells.
  • Keep the number of decimal places in the data consistent.

Descriptive title that includes the IV and DV

Independent Variable (Units)

Processed Data (Units)

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GRAPH

Complete the following:

  • Include a descriptive heading that includes the IV and DV.
  • Most investigations will call for a scatter plot. Make sure that your graph doesn’t just look like a scatter plot when it is actually a column or line graph.
  • The x and y axis both have a correct label with units. eg. Time (min)
  • Include a trendline. When choosing your trendline, NEVER use ‘Moving Average’, and never choose ‘Polynomial’ with more than two polynomial degrees.

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AVOID A COMMON MISTAKE

If you included anything other than numbers and decimal points in the table (excluding the headings), your spreadsheet software will get confused and produce the wrong kind of graph.

INSERT YOUR GRAPH HERE

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INTERPRETATION AND EXPLANATION

INTERPRETATION OF DATA

Complete the following:

  • Outline the shape of the graph using terms such as the following:
    • Positive (going up), negative (going down), no relationship.
    • Linear (straight line), curved.
  • State whether the graph shows a strong or weak relationship between the variables.
  • State how well the trendline fits the data.

EXPLANATION OF RESULTS

Complete the following:

  • Describe the scientific reason for the results.
  • Explain cause/effect relationships by using words such as: because, so, this means etc.
  • Use scientific language.
  • You can refer to information used in the hypothesis justification.

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ANALYSIS OF THE DATA

Complete the following:

  • Use the range of repeated trials to evaluate the repeatability of your measurements.
  • Discuss whether the number of repeated trials was sufficient. Justify your answer.
  • Discuss whether you had enough levels of the independent variable to see a relationship with the dependent variable.
  • Discuss the number of decimal places in your data and what this means for the precision of your measurements.
  • Describe any significant qualitative observations and evaluate their effect on your data.
  • Evaluate the significance of how well the trendline fits the data.

EVIDENCE THAT THE DATA IS RELIABLE

EVIDENCE THAT THE DATA IS NOT RELIABLE

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EVALUATION OF THE METHOD

AVOID COMMON MISTAKES

There are a few ways in which students often go wrong when evaluating a method. Be careful not to fall into the following traps:

  1. Don’t write about something that happened to you but is unlikely to happen to someone trying to replicate your experiment. For example, if the batteries in your measuring instrument went flat during the experiment, this is not a limitation of the method, since there is no step that says, ‘Make sure the batteries of your instrument go flat’.
  2. Only write about aspects of the method that affected your data. It does not affect your data if the experiment was fun, quick or easy.
  3. You are expected to carry out the method as it is written in the procedure. If, for some reason you, for example, forgot to control a variable, then this is a problem with your data but not with the method.
  4. Link the data analysis to the method evaluation. For example, if you wrote about a qualitative observation that affected your data, then this was likely caused by a variable that wasn’t controlled in your method.

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METHOD STRENGTHS

Complete the following:

  • Think of the aspects of the method that had a positive impact on the quality or relevance of your data.
  • Explain how they positively affected your data.
  • Use the list below as a guide to possible method strengths. You DO NOT need to write about ALL of them:
    • Measuring method or instrument was very precise.
    • The quantities used were large enough.
    • There were variables that were controlled very well.
    • The range of the independent variable was appropriate to show the relationship between variables.
    • The method was very close to how things would happen in the outside world (ie. not a highly controlled environment).
    • We can use the results of the method to gain information about a lot of different situations.
    • The information gained in the investigation provides a lot of information for solving a larger overall problem.

METHOD STRENGTH

POSITIVE EFFECT ON DATA

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METHOD LIMITATIONS AND IMPROVEMENTS

Complete the following:

  • Choose two or three aspects of your method that reduced the quality or relevance of your data.
  • Use the list below as a guide to possible method limitations. You DO NOT need to write about all of them:
    • Measuring method or instrument was not very precise.
    • The quantities used were too small.
    • There were variables that were not controlled very well or were not even considered.
    • The range of the independent variable was limited, and you might get different results if you made the independent variable much higher, much lower or much broader.
    • The method had a lot of differences to how things are in the world outside the lab environment (ie. the conditions of the experiment were too ‘perfect’).
    • The method is very specific to a certain situation, and we can’t use the method to gain information about a lot of different situations.
    • The information gained in the investigation provides little information for solving a larger overall problem.
  • Suggest ways to improve the method. Imagine you had unlimited time and/or funds.

METHOD LIMITATION

AND HOW IT AFFECTED THE DATA

SUGGESTED IMPROVEMENT

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METHOD LIMITATIONS AND IMPROVEMENTS

METHOD LIMITATION

AND HOW IT AFFECTED THE DATA

SUGGESTED IMPROVEMENT

METHOD LIMITATION

AND HOW IT AFFECTED THE DATA

SUGGESTED IMPROVEMENT

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FURTHER INVESTIGATION

Complete the following:

  • Outline one or two aspects of the overall problem or topic that the method does not address.
  • Suggest ways that the method could be altered to provide more information about the problem or topic.

ASPECT OF THE PROBLEM OR TOPIC

ADDITIONAL INVESTIGATION REQUIRED

HOW THE EXTENSION WOULD PROVIDE NEW INFORMATION ON THE PROBLEM OR TOPIC

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CONCLUSION

Complete the following:

  • Summarise the findings of your investigation including: whether your hypothesis was supported, your overall confidence in the data and method, areas for further investigation.