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Oksi-84 [34.3K]
2 years ago
15

1. what common facts about volcanoes were you able to understand while you were researching about your chosen volcano?

Biology
1 answer:
Nina [5.8K]2 years ago
5 0

Answer:

AN ERUPTING VOLCANO CAN TRIGGER TSUNAMIS, FLASH FLOODS, EARTHQUAKES, MUDFLOWS AND ROCKFALLS.

Explanation:

#CARRYONLEARNING

PLEASE BRAINLIEST ME PLEASE PLEASE

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If you take a bite of a plant why does it not taste sweet all the time with sugar made?
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Because sugar is not a long lasting condiment
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Select all that describe features of prokaryotes.
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Answer:

all of them except the organelles as they don't have organelles

only some are multicellular too so E looks a bit suspect

Explanation:

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or each of the following genetic topics, indicate whether it focuses on transmission genetics, molecular genetics, genomics or p
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Answer:

A. transmission genetics

B. population genetics

C. molecular genetics

D. genomics

E. molecular genetics

Explanation:

Transmission genetics can be defined as the study of the mechanisms involved in the inheritance of genetic material by offspring from parents. This discipline started with the discovery of inherited characteristics in pea plants by Mendel (1865).

Population genetics is a subdiscipline of genetics that studies genetic variation within and between populations. Population genetics is an area that explains how allele and genotypic frequencies change across time, thereby this subdiscipline is closely linked to evolutionary biology.

Genomics is a broad area of genetics that studies the function, evolution, structure, function, mapping and comparison of genomes (i.e., the whole genetic material contained in each cell of a given organism). This discipline aims at understanding entire gene pools. Genomics includes different research areas including structural genomics, functional genomics, epigenomics and metagenomics.

Molecular genetics is a sub-discipline of genetics that studies the mechanisms involved in preserving the genetic material (i.e., DNA and RNA), and to understand how the structure and expression of the genetic material influence the observed variation among organisms.

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Plant cells use specific organelles for photosynthesis in order to produce glucose. Plant cells contain another organelle that f
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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}\\

<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

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3 years ago
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