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kobusy [5.1K]
3 years ago
9

How could increasing the number of plants help you decrease error in the experiment? Check all possible reasons.

Biology
2 answers:
ch4aika [34]3 years ago
8 0
Having more data would make the average height less affected by one or two plants that are randomly shorter or taller.
Lelechka [254]3 years ago
5 0

Answer: Increasing the number of plants in an experiment will help decrease the error, because you have more test subjects to run the test on.

Explanation:

The more subjects that you have have the more tests you can run, this will give you a chance to get more accurate and consistent results. When completing an experiment, you normally have to run 5 or more tests in order to get a goos set of data. So by increasing the number of plants you test on, you'll be able to get a better set of data.

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Answer:

Raising the temperature from 20c to body temperature

Explanation:

The increase in temperature will give the particles more thermo energy therefore it will increase the rate of an enzyme-controlled reaction

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The answer to your question is Incense Cedar
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The city of Los Angeles wants to know if there is a connection between physical fitness and air pollution. Fifty volunteers from
zheka24 [161]

Answer:

Control group: volunteer stationary bike riders in a pollution-free chamber

Experimental group: volunteer stationary bike riders in a chamber filled with air pollutants common to Los Angeles

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Dependent variable: The heart rates (physical fitness) of the volunteer riders.

Explanation:

In a scientific experiment, data is compared between the control group and experimental group to ascertain the effect of the independent variable on the dependent variable. A control group is the group in an experiment that is not treated with the independent variable i.e. the independent variable is controlled while the experimental group is the group that is treated with an independent variable.

N.B: The independent variable is the variable controlled by the experimenter in order to influence the dependent variable (measurable outcome).

In this experiment, the independent variable is the AIR POLLUTION the volunteer riders are exposed to while the dependent variable is the PHYSICAL FITNESS/ HEART RATES of the volunteer riders, which is dependent on the exposure to air pollution (independent variable).

The control group in this experiment is the volunteer riders placed in a POLLUTION-FREE CHAMBER where the independent variable cannot influence or have any effect on the measurable variable (dependent). The experimental group is the volunteer riders placed in a CHAMBER FILLED WITH AIR POLLUTANTS. The independent variable (air pollution) has been changed in the experimental group.

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