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Scientific Method
a step-by-step process used by scientists to investigate questions, gather evidence, and draw conclusions based on experiments and observations
Hypothesis
a testable explanation form an observation; explains relationship between variables and what the researcher expects to happen to one variable if the other changes
Hypothesis Tests
statistical test procedures to test hypotheses about a population based on a sample
Null Hypothesis
hypothesis that there is no effect or no difference between the two groups of data; observations are due to chance
Alternative Hypothesis
Hypothesis that there IS a relationship/effect/ difference between the two groups of data; observations are due to a nonrandom cause
Why use a null?
provides a baseline, which we can use our sample results to; use data to reject null hypothesis and support the alternative
Control Group
used for comparison to the experimental group; helps to validate statistical analysis and increase confidence in conclusions drawn from the experimental results
Negative vs Positive Control
Negative: group not exposed to any treatment OR exposed to a treatment known to have no effect
Positive: group not exposed to the IV but IS exposed to a treatment known to have an expected effect
Experimental Group
receives the experimental treatment (IV) being tested to observe its impact on the outcome (DV)
Independent Variable
the one factor that is changed between groups; what is being manipulated; graphed on the X axis
Dependent Variable
factor that is measured and affected by the IV; graphed on the Y axis
Constant
factors kept consistent for all groups to ensure only the IV affects the outcome; aka controlled variables
Statistics
methods used to collect, process, or interpret quantitative data; helps us understand important info by summarizing our observations and making predictions based on the summary. also helps scientists to avoid jumping to conclusions and be cautious about generalizations
Descriptive Statistics
methods used to summarize or describe observations/samples; measure of central tendency and variability
Inferential Statistics
using observations to make estimates or predictions; generalizing from a sample to a wider population (Standard Error of the Mean, Confidence Intervals); Hypothesis Tests (Chi Square)
Sample
a small, random group selected from the population
Population
all members of the group being studied

Negative (left) Skewed

Positive (right) Skewed
Normal Distribution
theoretical distribution of values for a population; shape is described using the mean and standard deviation
Central Tendencies
the center can be described by the mean, median, and mode
mean
the average of a data set
median
the middle number in a range of data points
mode
the value that appears most often
the preferred measure of central tendency for skewed vs normal distibutions
normal: mean
skewed: median, because it is not as affected by the outliers and gives a better “middle”
Variability
the degree to which data is spread out in a data set; gives us a more complete summary of a distribution
Variability can be measured using
range, standard deviation, and IQR
Standard Deviation
the average amount by which all the values deviate form the mean (measure the spread of data); used for approx. normal distributions
Low standard deviation
data is closer to the mean
High standard deviation
data is farther from the mean
IQR
(interquartile range) measures the spread of the middle 50% of a data set: TO FIND THE IQR: Q3-Q1, used for non-normal (skewed) distributions
Confidence Intervals
a range of values in which we are 95% confident the true population mean will fall within; built using sample mean and the Standard Error of the Mean— upper limit= Mean + 2x SEM, lower limit= Mean - 2x SEM
Standard Error of the Mean (SEM)
used to assess how accurately the sample mean estimates the population mean; uses standard deviation to estimate the variation in the population
if the error bars do not overlap,
the researches reject the null hypothesis, and the alternative hypothesis is supported; the is a STATISTICALLY SIGNIFICANT difference due to a nonrandom cause
Chi Square
a form of statistical analysis used to compare actual counts/ frequencies (observed) with the expected counts/ frequencies; helps determine whether the expected data provides a “good fit” to the observed data obtained
What are the 6 general steps of the scientific method
Make an Observation
Ask a question
Form a hypothesis
conduct an experiment
collect data
form a conclusion
How are hypotheses formulated?
by turning a research question into an educated guess
What is the difference between null and alternative hypotheses? Do you always need both?
a null hypothesis states that there is no effect or no difference while an alternative hypothesis states that there is a statistically significant different. It is good to have both
How do researchers determine their dependent and independent variables? How are they often graphed (what is on the y-axis and what is on the x-axis)?
Researchers determine dependent and independent variable by looking at what is being manipulated and what is being affected and measured. The independent variable is graphed on the X-axis, and the dependent variable is graphed on the Y axis
Are constants the same as controls? Why or Why not?
No, constants are not the same as controls. Constants are variables kept consistent for all groups to ensure that only the IV affects the outcome, while controls are groups used for comparison to the experimental group.
When should a positive control be used? When should a negative control be used?
A negative control is used to gives a baseline and ensure that there is no effect where there should be no effect, and a positive control is used as a reference point for what a known effect looks like.
Describe Central tendencies. Identify when each type of central tendency should be used.
the center can be described by the mean, median, and mode. skewed distributions- median, normal distributions- mean
What is used to measure variability?
Variability is measure using range, standard deviation, and IQR
Is data more reliable with low or high standard deviation? Why?
low standard deviation because the values are more stable, predictable, consistent, and reliable
Why do researchers use SEM?
they use it to assess how accurately the sample mean estimates the population mean
If the standard error bars overlap, is the difference between the means statistically significant? Why or Why not?
No, if the standard bars overlap the difference between the means is not statistically significant because it suggests that the observations are due to chance
Matter
anything that has mass and takes up space
Element
a substance that cannot be broken down into any other substances by chemical reactions
Compound
a substance consisting of two or more different elements combined in a fixed ratio
atomic number
number of protons
atomic mass
number of protons plus neutrons averaged over all isotopes
Octet Rule
elements will gain, lose, or share electrons to complete their valence electron shell and become stable
Chemical Bonds
an attraction between two atoms, resulting from the sharing or 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; two types: polar covalent and nonpolar covalent
Nonpolar Covalent
e- are shared equally between atoms
Polar Covalent
electrons are not shared equally between two atoms
Ionic Bonds
the attraction between oppositely charged atoms (ions); occurs when there is a transfer of electrons from one atom to another
Hydrogen Bonds
the partially positive hydrogen atom in one polar covalent molecule will be attracted to an electronegative atom in another covalent molecule
Intermolecular bond
bond that forms between molecules
Polarity
polar covalent bonds created by an unequal sharing of electrons between O and H within the water molecule
Cohesion
attraction of molecules for other molecules of the same kind— hydrogen bonds hold them together and increase cohesive forces; NATURE: allows for transport of water and nutrients against gravity in plants and helps with surface tension
Adhesion
the attraction to other molecules that are polar or have charge — due to polarity; NATURE: capillary action
Capillary Action
the upward movement of water due to the forces of cohesion, adhesion, and surface tension— occurs when adhesion is greater than cohesion; NATURE: important for teh transport of water and nutrients in plants
High Specific Heat
H20 resists changes in temperature bc hydrogen bonds absorb energy (to be broken) and heat is released when they form; NATURE: moderates air temp (bodies of water absorb heat and day and release at night), stabilizes ocean temp, + organisms can resist changes in their own internal temp
High Heat of Vaporization
water requires a large amount of energy to evaporate due to strong hydrogen bonds— Evaporative Cooling: as water molecule evaporate, the surface they evaporate form gets cooler; NATURE: Moderates Earth’s climate, stabilizes temp in lakes and ponds, prevent terrestrial organisms form overheating + prevents leaves from becoming too warm in sun
Low Density of Ice
as water solidifies, it expands and becomes less dense— due to hydrogen bonds: when cooled, water mol. move too slowly to break the bonds; NATURE: allows marine life to survive under floating ice sheets
Solvent vs Solution vs Solute
Solution: homogenous mix of 2+ substances
Solvent: dissolving agent in a solution
Solute: substance that is dissolved
Water as a solvent
“like dissolves like”— water will form hydrogen bonds with with the sugar/ protein containing O or H to dissolve it.
Ionic Compounds: partially neg. O in water interacts with a pos. atom, partially pos. H will interact with a negative atom—- dissociates ions
pH
a measure of how acidic or basic (alkaline) a solution is
Acid
a substance that releases H+ ions when dissolved in water
Base
a substance that accepts H+ ions OR releases hydroxide ions OH-
Buffer
a solution that resists changes in pH when an acid or base is added; NATURE: helps maintain pH stability
Identify the elements that make up nearly all of living matter
Carbon, Nitrogen, Oxygen, Hydrogen, Phosphorus
Differentiate between a solute, solvent, and solution
A solution is a homogenous mix of two or more substances, the solute is what is being dissolved, and a solvent is the dissolving agent.
How are hydrogen bonds different form other types of bonds?
Hydrogen bonds are between molecules (intermolecular), while covalent bonds are within a molecule (intramolecular)
how does electronegativity affect the interactions between water molecules
Electronegativity causes an uneven distribution of charge across the water molecule. This means that the oxygen is partially negative while the hydrogens are partially positive, which allows for hydrogen bonds.
If O and H had the electronegativity, what would that do the properties of water?
then the water molecule wouldn’t be polar. This would diminish most of water’s properties since they are only possible because of waters polarity
Organic Chemistry
the study of cpds with covalently bonded carbon
Organic Compounds
compounds that contain carbon and hydrogen
What forms the skeletons of many molecules
carbon chains; can differ in length, branching, double bond position, and presence of rings
hydrocarbons
organic molecules consisting of only carbon and hydrogen
functional groups
chemical groups attached to the carbon skeleton that participate in chemical reactions
Macromolecules
large molecules made of smaller subunits
what makes carbon such a versatile element?
its ability to form four covalent bons
how do functional groups affect the structure and behavior of organic molecules
functional groups affect the way that a molecule is shaped and participate in chemical reactions. function group can also be polar or nonpolar— directly affecting the chemical reactivity and behavior of the molecule
what is the difference between hydrocarbons and other organic molecules?
hydrocarbons contain ONLY carbon and hydrogen, but organic molecules can contain other elements
dehydration reaction
covalently bonds two monomers with loss of H2O
hydrolysis
breaks the covalent bonds in a polymer by adding H2O
polymers
chain-like macromolecules made of similar or identical repeating units that are covalently bonded together
monomers
the repeating units that make up polymers
differentiate between and hydrolysis and a dehydration reaction
dehydration reactions create covalent bonds with the loss of H2O while hydrolysis breaks covalent bonds with the addition of H2O
carbohydrates
includes sugars and polymers of sugars; contains a carbonyl group and many hydroxyl groups (C, H, O in a 1:2:1)
monosaccharides
simple sugars. they are molecular formulas with multiples of the unit CH2O. most common is glucose— used as nutrients, fuel for cells, and in cellular respiration. can serve as building blocks for amino acids or as monomers for di and polysaccharides
disaccharides
two monosaccharides joined together by covalent bonds; most common is sucrose from glucose and fructose
polysaccharides
polymer with many sugars joined via dehydration reaction
starch
storage polysaccharide; plants store STARCH (polymer of glucose monomers): allows plants to store excess glucose
Glycogen
Animals store GLYCOGEN (polymer of glucose): stored in liver and muscle cells
Cellulose
structural polysaccharides: (plants) tough substance that forms plant cell walls
Chitin
structural polysaccharides: (animals) forms exoskeletons of arthropods