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24 Cards in this Set
- Front
- Back
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Scientific Theory
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Observation, Question, Hypothesis, Prediction, Experimentation, Analysis
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Chi square
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Chi-Square (X2) test can be used to test differences between categories of variables (“categorical data”). is used to investigate whether distributions of categories differ from one another
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Null hypothesis
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States that there is no effect(or difference) of the experimental treatment
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Alternative Hypothesis
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States that the treatment did have some effect
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Probability Factor "P"
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<=5% than is due to chance and we reject the null hypothesis, >5% we CANNOT reject the null hypothesis
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Graphical Analysis
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Dependant variables(Y-axis/vertical), Independent variable(X-axis/horizontal)
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Graph Labels
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Axis labels and units, numerical increments, Legend, figure caption(Title and descriptive explaination for the figure), Interpretation/Conclusion/Presentation
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Control
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to test whether or not the variable causes an effect, a parallel or "Control" will often be conducted which will act as a reference for comparison
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Independant Varible
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What's being Altered altered(one one ever) (Y-axis/Vertical)
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Dependant variable
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What we measured(many) (X-Axis/Horizontal)
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P Value
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if > 5% than there is significance and it's not just due to chance,<=5% must be rejected. Statistical probability
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Student’s t-test
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is used to test differences between sets of continuous data in 2 groups
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1mL=1cc=1g
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1mL=1cc=1g
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Centi
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100th
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Milli
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1000th
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Kilo
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1000
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Mass vs. weight
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mass refers loosely to the amount of "matter" in an object, whereas weight refers to the force experienced by an object due to gravity
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Area
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Area=Width x Height
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Volume
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Volume=Length x Width x height
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Surface Area of cube
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Lenght x width x 6 (six side cube)
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Density
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Density(D) = Mass(M) / Volume(V), units (i.e. g/cm3, lbs/in3)
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4 classes of biological molecules
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Carbohydrates, proteins, lipids, nucleic acids
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Monomers
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individual subunits
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Polymers
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many monomers bonded together to form larger molecules called macromolecules
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