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What trophic level are we on if we eat a salad

saw5 [17]

Answer:

Level 1: Plants and algae make their own food and are called producers. Level 2: Herbivores eat plants and are called primary consumers. Level 3: Carnivores that eat herbivores are called secondary consumers. Level 4: Carnivores that eat other carnivores are called tertiary consumers.

3 0

4 years ago

The northern red-legged frog, or Rana aurora, is found along the western coast from British Columbia to Northern California. The

lyudmila [28]

The best and the correct answer among the choices provided by the question is the second choice.

Temporal isolation could be the mechanism that might keep Rana aurora and Rana boylii from mating.

I hope my answer has come to your help. Have a nice day ahead and may God bless you always!

7 0

3 years ago

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Which organism has the least differences in the number of amino acids in cytochrome c compared to

Evgesh-ka [11]

Answer:

Using the number of amino acid differences, it would appear that the two birds are more closely related (had a common ancestor very recently), while the two fungi would have to trace their common ancestry much farther back in time (much more distantly related).

5 0

3 years ago

Please help. This test is timed and this course is way too hard. I will mark Brainliest if you have the best answer! No random a

Licemer1 [7]

Answer:

C

Explanation:

Bulls are a more extreme version of a cow. A cow is like a mother who cares for her children while a bull is like a rowdy person who does weird and unpredictable things at times. That's why when people hear the word wild cow, they don't usually get frightened but when they hear the word wild bull, they kind of get afraid.

3 0

3 years ago

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Write a paragraph on testing probability

VashaNatasha [74]

Explanation:

Probabilities are described as ratios of favorable event outcome to the total number of event outcomes.

This is written as...

$P (E) =\frac{n(E)}{n(S)} \\$

where...

E= the number of times the event occurs

S= the number of trials

In biology experiments, hypotheses are formed based on research questions, and tested with the use of variables to provide a particular outcome. Statistics allows for testing data for consistency with the hypothesis, while statistical probability testing can be used in experiments to determine a range of outcomes, from genetic inheritance, evolutionary rates to theoretical experimental results.

In these statistical models, probability distributions are functions that give probabilities for certain event outcomes within an experiment (a set of trials). These may be either continuous, taking a value within a range of two numbers; or discrete, which may be either of two specified values. Discrete probability distributions list each value that a random variable may possibly take on.

Further Explanation:

For example, two types of probability distributions are employed in experimental biology:

Binomial distributions, which are discrete distributions, provide probability of a certain number of successful events for x a random variable, in a specific number of trials, n; here, the probability of success of an individual trial is constant at P and only one of two outcomes are possible- this is sampling with replacement.

where...

b(x; n, P)-the probability that an experiment of n trials results in x successes

nCx- the number of combinations of n things at r time

$b(x; n, P) = [ nCx ]* P^{x} * (1-P)^{n-x}\\$

This is often used in determining potential outcomes before data collection.

A type of continuous distribution, the student's t-test, compares standard deviations and means from two sets of samples or groups to check for significant differences between them.

$t= \frac{(x_{1} - x_{2}) }{\sqrt{(\frac{(S_{1}) ^{2} }{n1} }+ (\frac{(S_{2}) ^{2} }{n2 }}$

where...

x1 and s1 are the mean and standard deviation of sample 1 respectively
x2 and s2 are the mean and standard deviation of sample 1 respectively
n1 and n2 are sample sizes in samples 1 and 2 respectively

The null and alternate hypotheses typically theorize the likelihood and significance of certain event outcome probabilities. Critical values of t, along with degrees of freedom are used to determine a range of probable outcomes; probability or p- values along with this range, are used to determine whether either hypothesis is rejected or accepted.

For instance, significant differences between an experimental control and a specific treatment group would show that these occurrences are not due to sampling errors or random chance...

Learn more about calculating probability at brainly.com/question/4021035

Learn more about calculating event probability at brainly.com/question/6649771

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5 0

3 years ago