Student’s academic performance can be tested with two factors i.e. oral lecture and oral lecture plus giving notes to the students.
<h3>How might you design an experiment to test this?</h3>
We should take two factors i.e. oral lecture and oral lecture plus giving notes to the students. We set two groups having equal number of students. First group is treated with the first factor i.e. oral lecture while on the other hand, the second group is treated with second factor i.e. giving notes. After one month, the performance of both groups should be tested through monthly test.
<h3>B. What is a possible hypothesis?</h3>
The possible hypothesis is that we get better results from the students of the second group.
<h3>C. What is the independent variable?</h3>
The independent variable are the notes and lecture.
<h3>D. What is the dependent variable?</h3>
The dependent variable are the performance of the student.
E. What is the control group, and what is the experimental group?
The control group is taking no notes whereas the experimental group is taking notes.
<h3>F. What are the constants in your experiment?</h3>
The constants in the experiment is the independent variable because it is not affected by any other factor.
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<span>The nucleus is often the largest organelle in a cell. It contains information a cell needs to function. Some of the information is translated by ribosomes, tiny structures located in the cytoplasm and the endoplasmic reticulum. ribosomes use the information to build important molecules called proteins.</span>
the answer is C.
Plants use atmospheric CO2 through photosynthesis
Answer: Precise measurements are important for Scientific Accuracy in order to get correct results
Explanation:
Precision is how close the Agreement is between repeated measurements under the same conditions. For example, if a measured value 36.7cm has three digits, or significant figures. Significant figures indicate the precision of a measuring tool that was used to measure a value
Accuracy is how close a measurement is to the correct value for that measurement.
When taking scientific measurements it is very important to be both precise and accurate. Bad equipment, human error can give inaccurate results.
