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OlgaM077 [116]
2 years ago
7

The cellular component responsible for transmission of traits and control of cell function was long assumed to be proteins. Disc

uss the characteristics of proteins and DNA that made protein initially seem the more likely candidate, and outline the seminal studies that implicated DNA as the molecule of heredity and determination of trait.
Biology
1 answer:
timurjin [86]2 years ago
5 0
The traits of a living thing depend on the complex mixture of interacting components inside it. Proteins do much of the chemical work inside cells, so they largely determine what those traits are. But those proteins owe their existence to the DNA (deoxyribonucleic acid), so that is where we must look for the answer.
The easiest way to understand how DNA is organized is to start with its basic building blocks. DNA consists of four different sugars that interact with each other in specific ways. These four sugars are called nucleotide bases and have the names adenine (A), thymine (T), cytosine (C) and guanine (G). Think of these four bases as letters in an alphabet, the alphabet of life!
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Which of the following monomers vary based on the structure of their side chains?
Arlecino [84]

Answer: Fatty acids. . Monosaccharides. . Nucleotides. . Amino acids. . What type of molecule is represented by the model below?. . -A molecule made up of four carbon rings with other atoms bonded to those rings-. . A.Fat. . B.Carbohydrate. . C.Steroid. . . D.Protein

Explanation:

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2 years ago
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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2 years ago
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Ksivusya [100]
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wow thats tricky................  i think its asymmetrical or radial

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