Do not leave a lit burner unattended

On a large volcanic island, researchers are studying a population of annual herbaceous plants. Which of the following observatio

tangare [24]

Answer:

(B) Lava has separated the population into two areas: an upland forest and a lowland marsh.

Explanation:

In allopatric speciation, individuals of an ancestral species may undergo evolution into two or more progeny species which arises when physical separation causes a geographic boundary, this barrier can be in the form of a mountain range, rockslide, river or lava.

As in this scenario, a lava flow divides the populations of annual herbaceous plants by altering the landscape. This will cause genetic divergence with varying heritable features among its many generations favouring different traits in the separate environment along with genetic drift. The Lava will separates the population into two areas: an upland forest and a lowland marsh.

4 0

3 years ago

A student is investigating the question “Which increases a person’s breathing rate more after three minutes, lifting five-pound

LenaWriter [7]

The breathing rate is the dependent variable because it can be affected by varying weights.

P.S the answer was on quizlet

5 0

3 years ago

Which constellation is connected with lines in the picture?

denis23 [38]

Where’s the picture

3 0

2 years ago

Read 2 more answers

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

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

<em>This is often used in determining potential outcomes before data collection.</em>

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.

<em>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...</em>

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

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

#LearnWithBrainly

5 0

2 years ago

A client is admitted to the hospital with elevated temperature, chills, cough, and fatigue. The health care provider orders a ch

Mkey [24]

Answer:

Broad-spectrum antibiotics can cause antibiotic resistance.

Explanation:

Antibiotics are the substances that inhibit the growth of or kill the bacteria and hence, these are used as medications for the treatment of a lot of bacterial diseases.
These antibiotics can either be of broad-spectrum or the narrow spectrum.
The broad-spectrum antibiotics are the ones that are effective against a variety of bacteria, both gram-positive and negative whereas the narrow-spectrum antibiotics are the ones that target only a specific type of bacteria.
Since the bacteria can mutate very fast and hence, develop antibiotic resistance, the doctors usually avoid prescribing broad-spectrum antibiotics and only use them when the causal bacteria is completely unknown.
Hence, in the given case the provider prescribes separate medications for both types of bacteria.

5 0

3 years ago