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3 years ago

Which particle has a high rate of deposition?

Biology

2 answers:

Rom4ik [11]3 years ago

7 0

Answer:

A particle with jagged, rough ends has a high rate of deposition.

Explanation:

When erosion takes place, the particles of rocks move from one place to another and then they get settled on the new place. Those particles which have round shaped ends cannot settle quickly because they can be easily pushed by air and again moved but particles having rough ends get stuck in the soil or surface of earth and they are settled quickly.

vivado [14]3 years ago

4 0

This is the straight forward answer— A particle with jagged, rough ends has a high rated deposition.
I hope this helps you. Keep asking question because I would be glad to help

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madam [21]

Gymnosperms have cones, they’re sporophytes, so they’re capable of producing spores, they do reproduce by pollination and they’re vascular :)

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3 years ago

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Gnom [1K]

Answer:

It's B. yw

Explanation:

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3 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

3 years ago

Some scientists would say that nucleic acids are

Gre4nikov [31]

Answer:

The nucleic acids are the most important molecules in living cells beacuse It is the macromolecules for the continuity of life. They carry the genetic blueprint of a cell and carry instructions for the functioning of the cell.
The proteins are more important because Our body needs protein to stay healthy and work the way it should. More than 10,000 types are found in everything from your organs to your muscles and tissues to your bones, skin, etc. Protein is also a critical part of the processes that fuel your energy and carry oxygen throughout your body in your blood.
The life could not continue without a supply of carbohydrates beacuse Carbohydrates are important to the daily lives of living organisms. They store energy (starches), provide energy for cells (glucose), and provide structure to plants and some animals.

5 0

2 years ago

There is a population of alien dogs, species Dogus Cute-ee-us, that live on the planet Woof. Their genomes and biology are amazi

kupik [55]

Answer:

c. 1:4:6:4:1

Explanation:

The term quantitative heritability refers to the transmission of a phenotypic trait in which expression depends on the additive effect of a series of genes.

Polygenic heritability occurs when a trait results from the interaction of more than one gene. And these genes can also have more than two alleles. The action of many genes and alleles can cause many different combinations that are the reason for genotypic graduation.

Quantitative traits are those that can be measure, such as longitude, weight, eggs laid per female, among others. In the exposed example, the measurable trait is the dog´s friendliness. These characters do not group individuals by any precise and clear categories. Instead, they group individuals in many different categories that depend on how the genes were intercrossed and distributed during meiosis. The result depends on the magnitude in which each allele contributes to the final phenotype and genotype. When they interact, they create a gradation in phenotypes, according to the level of contribution.

In the exposed example, each dominant allele contributes with a higher level of friendliness.

aabb → 0 = Unfriendly/Loner (although not aggressive);
Aabb, aaBb → 1 = Somewhat friendly/shy;
AAbb, AaBb, aaBB → 2 = Friendly;
AABb, aABB → 3 = Very friendly;
AABB → 4 = Maximally friendly.

Cross: between two dihybrid friendly dogs

Parentals) AaBb x AaBb

Gametes) AB, Ab, aB, ab

AB, Ab, aB, ab

Punnett square) AB Ab aB ab

AB AABB AABb AaBB AaBb

Ab AABb AAbb AaBb Aabb

aB AaBB AaBb aaBB aaBb

ab AaBb Aabb aaBb aabb

F1) 1/16 AABB ⇒ 4 = Maximally friendly

4/16 AABb + AaBB ⇒ 3 = Very friendly

6/16 AAbb + AaBb + aaBB ⇒ 2 = Friendly

4/16 Aabb + aaBb ⇒ 1 = Somewhat friendly/shy

1/16 aabb ⇒ 0 = Unfriendly/Loner

The Phenotypic ratio is 1:4:6:4:1

6 0

3 years ago