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what are null and alternate hypothesis
null: no effect
alternate: effect
what are 3 types of data?
qualitative:
categorical
quantitative:
continuous
discrete
Define standard deviation and variance:
standard deviation: how much the points are spread out or vary from avegrage
variance: how much data point scatter around centre or mean
what is the T sample test:
how likely it is that the observed pattern is due to random chance
works with large samples
categorical qualitative independent variables with 2 possible values and a numerical dependent variable
to determine a statistically significant difference between the means of the groups
whats the p value? say everything about it
it shows th eprob. that our results are due to random chance
always a decimal ratio (0-1)
never 0 or 1
if p value < 0.05 its a significant result. less than 5% that the pattern we r observing is due to random chance. we will reject the null and accept the alternate
define these: Herbivory, herbivores, phytiphages, frugivores
herbivory: interaction where plant is consumed by some consumer organism
herbivores: primary consumers
phytophages: leaf eating insects, mainly specialists
frugivores: fruits
what r physiological feeding adaptations animals got and 2 examples:
to avoid dying because of herbivores they grew thorns
they r pysiological responses like chewing
monarch butterfly: they eat poisoneous milk to be poisonous to birds
how do we calculate the percentage of leaf removed by herbivory:
area removed by herbivory / total area of leaf x 100%
what is stratified random sample:
its a probabiliy sampling method, divides population into smaller groups according to a shared characteristic and then randomly choose a participant
higher preision, lower error, more complex than simple random smapling
hwy is the mean value useful (2)
best representation of population as a whole
mean can be used for comparing populations or samples
define natural selection
variation of survival and reproduction that is associated ito a particular trait
whats the formula for shell aperture index?
Ia = [pi (L+(W/4)) to the 2]/H
deinfe a bar graph, histogram and interval plot:
bar graph: size-frequency distribution, symmetrical graph bar is in the middle
histogram: how often different values occur in data set
interval plot: complete chart
define CI, CI 95%, Standard error bars, interval bars:
CI: range of plausible values for the true population average
CI 95%: 95 percent confident that true population falls inside this range
Standard error bars: bars that show precision of sample mean, how uch avg. would change i you did the expeiment again
Interval bars: actual I shaped lines drawn in graphs, can be of 95 CI, SEM or St.dev
accuracy and precision?
accuracy: how close u r to the right answer
precision: how close ur measurements r to each other
this one has CL
large, not precise
small, more precise
if interval overlap, they are _____________
if interval dont overlap, __________
overlap: not signifcant
not overlap: significant

define these:
life history trait: A life history trait is a structural, behavioral, or physiological feature of an organism that directly affects its survival, development, and reproduction. These traits shape the organism's life cycle strategy and determine how it allocates limited energy.
abundance: The total number of individuals of a specific species present within a defined study area.:
density: The number of individuals per unit area or volume (e.g., 50 spiders per square meter).
quadrat and transect: stimating population size using tools like quadrats or transects to count individuals in small, defined areas and then extrapolating that data across the larger region.
for lab 3, what was the research qustion, hypothesis, null and alternate hypothesis:

from lab 3, whats Rsquare?

from lab 3: according to the research paper 1, what were they tlaking about?
speies foraging higher in the vegetation: had winged prey. Species at lower vegetation had jumping, larger prey.
web radius, spider size and web height explained the variation the most.
Spider webs were located by having sampling areas with walking transects.
When web with a spider was found, the vegetation height and height of web hub were measured
quantitative sampling with quadrats: pros is that it gives adequate estimates of spider densities, cons is that it underestimates abundances of orthopterans.
from lab 3, acording to research paper 2:
resource availability is the most important factor influencing spider evolution because when food is scarce, the metaboli rate of spiders can withstand longer period of time without food.
When spide denstities increase, spiders eat more to build up more fat
constraints imposed of orb web architecture: 1) constraints by egineering specifications for tensile structure. 2) by macromolecular structure of silk proteins. 3) aerial nets restrict environments
four characteristic that limit site availability to spiders that spin aerial nets: size, changes, diversification of web characteristics and reproductive mode in aracnoid spiders.
2 attributes that r the most important physiological factors infkuencing aracnoid evolution: ability of spiders to withstand food deprivation and to respond rapidly when food is availablke
what r line and point transects:
talk more about transects
used for recording observations along a predefined route
can be used for exmaining species-habitat relationships
line: recording data occurs continually.
point: recording data at regular intervals along the route
talk about quadrats:
used to know the types of plants and animals in a habitat, how many there r, so we collect samples of a represnetative population
samples r taken using a standard sampling unit
quadrats r the small replicated areas where we count, most used size is 1m square
to sample our population of interest we must decide on: 1) number of qudrats to sample 2) what size quadrat to use 3) placement of the quadrats
whats the advantages and disadvantages of increasing the quadrat number?
whats the advantage and disadvantage of increaaisng the quedrat size?
Increasing the number of quadrats (sample size) in an ecology study significantly improves the accuracy of your data, but it requires a much larger investment of time and effort.
Increasing the size of each quadrat alters how effectively you sample an ecosystem. While larger quadrats are essential for capturing larger or sparse organisms, they drastically increase sampling time and make counting individual organisms much harder
.