AP BIO UNIT 1 Flashcards
Evolution
This process drives the diversity and unity of life.
Energetics
Biological systems use energy and molecular building blocks to grow, reproduce, and maintain dynamic homeostasis.
Information Storage & Transmission
Living systems store, retrieve, transmit, and respond to information essential to life processes.
Systems Interactions
Biological systems interact, and these systems and their interactions exhibit complex properties.
Inquiry
Search for information and explanation.
Two Main Steps of Inquiry
- Making Observations
- Forming Hypotheses
Making Observations
Describes natural structures and processes through observation and analysis.
Data
Recorded observations.
Qualitative Data
Observations with senses.
Quantitative Date
Measured using instruments.
Inductive Reasoning
Derive generalizations based on a large number of specific observations. (Specific –> General)
Hypothesis
Predictions that can be tested by recording more observations or experiments. Often heard as “if…then…because” but does not need to be in this format. *NEVER say “the hypothesis is correct,” results can either support or refute the hypothesis.
Hypothesis - “If”
The manipulated variable
Hypothesis - “Then”
The responding variable
Hypothesis - “Because”
Optional explanation
Deductive Reasoning
Specific results are derived from general premises. (General –> Specific)
Null Hypothesis
A hypothesis which the researcher tries to disprove, reject, or nullify. The hypothesis states that there is no difference between the two groups of data, and the experimental observations are due to chance. (Example: H0: There will be no difference in headache relief between individuals)
Alternative Hypothesis
Start with H1, then continue listing (H2, H3, H4, etc.) As many as necessary for the experiment. (Example: H1: Tylenol will allow for relief when consumed by patients with headaches. H2: Tylenol will worsen symptoms when consumed by patients with headaches.)
Scientific Method
Most scientific inquiries do not follow a perfectly structured form. Scientists can be working with the wrong hypothesis and have to redirect research.
Hypothesis vs. Theory vs. Law - Hypothesis
Hypothesis: an explanation to a question. Tested by experiment or continued observation. Can be disproven, but cannot be proven true. *NEVER say “my hypothesis was correct” –> Instead say. “my data supports my hypothesis.”
Hypothesis vs. Theory vs. Law - Theory
Theory: summarizes a group of hypotheses. Broader in scope. New hypotheses can be generated from it. Supported by massive body of evidence. NEVER becomes a law.
Hypothesis vs. Theory vs. Law - Scientific Law
Scientific Law: statement of fact usually as a mathematical formula. Example: Newton’s Law of Gravity. Describes an observation - not “how” or “why.” Generally accepted to be true and universal. Basis for scientific method.
Experiments
Start with an observation and a hypothesis. Use control groups and experimental groups. Well designed experiments should include: independent variable, dependent variable, control group (+ and/or -), constants, # trials (minimum of 3).
Variable
Something that is changed in the experiment
Constant
Something that does not change.All the factors that stay the same in an experiment.
Independent Variable
The ONE factor that is changes by the person doing the experiment.
Dependent Variable
The factor which is measured by the experiment.
Control Groups
Controls are ESSENTIAL elements of an experiment: they help eliminate experimental errors and biases of researchers. Results of the control experiments validate statistical analysis of the experiment. Statistical analysis is necessary to determine whether or not data is significant. Reliability of the. experiment increases. Note: controls are NOT constants. Experiments DO NOT need a positive AND a negative control.
Positive Controls
Group NOT EXPOSED to the experimental treatment/independent variable but is exposed to treatment known to produce the expected effect. Ensures that there is an effect when there should be an effect. *If the expected result is not produced, there may be something wrong with experimental procedure. Scientists use positive controls when they are trying to induce a positive result.
Negative Controls
Groups NOT EXPOSED to ANY treatment or exposed to a treatment that is known to have NO effect. Ensures that there is no effect when there should be no effect. Group where nothing is expected to happen. Can be a way of setting a baseline. Used to ensure that no confounding/outside variable has affected the results (to factor in bias)
Statistics
Scientists typically collect data on a sample of a population. Used to infer what is happening in the general population. The first step in analysis is to graph the data and examine the distribution. Typical data will show a normal distribution, a bell shaped curve.
Measures of Central Tendencies
Descriptive statistics allows for researchers to describe and quantify differences between sets. The center of a distribution can be described by the mean, median, or mode.
Mean
The average of the data set. To solve: sum all the data points in the data set & then divide this number by the total number of data points.
Median
The middle number in a range of data. To solve: arrange the data points in numerical order (middle number is median). If there is an even number of data points, average the middle numbers. The median is useful in data sets that have measurements with “extreme values” or abnormal distribution. *The median is not distorted by extreme large or small measurements.
Mode
The value that appears most in a data set. Only useful when describing distribution of data where the mean and median wouldn’t be appropriate. Not usually used to measure central tendency. Example: binomial distribution.
Variability
The measure of how far a data set deviates from the central tendency. How spread out the data points are. Measured by range & standard deviation.
Range
The difference between the largest and smallest values. A larger range indicates a greater spread of data. Larger range = greater variability. Smaller range = less variability. Often used in conjunction with standard deviation.
Standard Deviation
A measure of how spread out the data is from the mean.
Step 1: Find the mean.
Step 2: Determine the deviation from the mean for each data point and square.
Step 3: Calculate the degrees of freedom (n-1), no is the number of data values.
Step 4: Put it all together to calculate “s.”
Low Standard Deviation
The data is closer to the mean. The independent variable is likely causing changes.
High Standard Deviation
The data is farther from the mean (more spread out). Factors other than the independent variable are likely causing changes.
1 Standard Deviation
1 standard deviation from the mean in either direction on the horizontal axis represents 68% of the data.
2 Standard Deviations
2 standard deviations from the mean in either direction on the horizontal axis represents 95% of the data.
3 Standard Deviations
3 standard deviations from the mean in either direction on the horizontal axis represents 99% of the data.
Standard Error of the Mean
Used to determine the precision of an confidence in the mean value. How well the mean of the sample represents the true mean of the population. Based on standard deviation (variability). The number of data points.
Low Standard Error
Increase in confidence. Commonly given as +/- 1 SEM (99% confidence) or +/- 2 SE (95% confidence).
Analyzing Error Bars
If error bars overlap, the difference is not significant.If they do not overlap, the difference may be significant.
Matter
Anything that takes up space and has mass. (Rocks, metal, oil, gases, organisms)
Element
A substance that cannot be broken down into other substances by chemical reactions. (92 elements occur in nature. Periodic table)
Compound
A substance consisting of two or more different elements combined in a fixed ratio. (H2O, NaCl)
Essential Elements
Of the 92 elements occurring in nature, 20-25% are essential to survive and reproduce. CHOPN makes up 96% of living matter.
Trace Elements
Of the 92 natural elements, these are required by an organism in small quantities.
Atomic Number
Number of protons.
Atomic Mass
Number of protons & neutrons averaged over all isotopes.
Group
All elements in the same vertical column that have the same number of valence electrons.
Period
Elements in the same horizontal row that have the same number of electron shells.
Bohr Model
Shows electron orbiting the nucleus of an atom. Electrons are placed on shells around the nucleus. Each shell is a different energy level and can hold up to a certain number of electrons.
- 1st Shell: 2e-
- 2nd Shell: 8e-
- 3rd Shell: 18e-
Lewis Dot Model
Simplified Bohr diagrams. Does not show energy levels. Only shows electrons in the valence shell. Electrons are placed around the element symbol.
Types of Bonds
Elements want to be stable. Achieve this by forming chemical bonds with other elements.
Octet Rule
Elements will gain, lose, or share electrons to complete their valence shell and become stable.
Chemical Bonds
An attraction between two atoms, resulting from the sharing/transferring of valence electrons.
Electronegativity
The measure of an atom’s ability to attract electrons to itself.
Covalent Bonds
When two or more atoms share electrons (usually between two nonmetals). Form molecules and compounds.
- Single Bond: 1 pair of shared e-
- Double Bond: 2 pairs of shared e-
- Triple Bond: 3 pairs of shared e-
Two types: nonpolar covalent and polar covalent
Nonpolar Covalent Bond
Electrons are shared equally between 2 atoms.
Polar Covalent Bond
Electrons are not shared equally between 2 atoms.
Ionic Bonds
The attraction between oppositely charged atoms (ions). Usually between a metal and nonmetal (metal transfers electrons to nonmetal). Forms ionic compounds & salts. NaCl and LiF. Occurs when there is a transfer of electrons from one atom to another atom forming ions.
Cation
Positively charged ions.
Anion
Negatively charged ions.
Hydrogen Bonds
The partially positive hydrogen atom in one polar covalent molecule will be attracted to an electronegative atom in another polar covalent molecule.
Intermolecular Bond
Bond that forms between molecules. When a hydrogen atom is bonded to an electronegative atom (O, N, & F) the electrons are not being shared equally between atoms. Hydrogen has a partial positive charge & the electronegative atom has a partial negative charge. (Example: hydrogen bonds between water molecules)
Intermolecular Bonds in Water
Water molecules move a lot! Hydrogen bonds form, break, and re-form with great frequency. The hydrogen bonds between water make it more structured than most liquids.