All categories

3 years ago

Friedman and Rosenman found that

Biology

2 answers:

zhuklara [117]3 years ago

3 0

compared to Type Bs, Type As had higher levels of stress hormones

just took the quiz

e-lub [12.9K]3 years ago

3 0

Answer:

The correct answer is "compared to Type Bs, Type As had higher levels of stress hormones".

Explanation:

Friedman and Rosenman discovered the Type As personality, research to show that the people with Type As personality run a higher risk of CHD and stress hormone than the Type Bs personality.

Type As personality includes different sets of behaviors like competitive, ambitious, impatient, and aggressive. People with Type Bs personality shows relaxed and non-competitive behavior.

You might be interested in

What invention in the 1400’s revolutionized the way knowledge could be spread?

Neporo4naja [7]

Movable-type printing was the invention in the 1400’s revolutionized the way knowledge could be spread.

<h3>What is Movable-type printing?</h3>

This type of printing involves the use of movable components to reproduce elements and letters on paper.

This was adopted by churches through printing of bible and other religious materials and led to the protestant reformation in the 1400s

Read more about Printing here brainly.com/question/12336191

#SPJ1

5 0

1 year ago

___________ are lipids that store energy and are typically composed of multiple building blocks containing three fatty acids att

saveliy_v [14]

The answer would be, Fats. Since Triglycerides (3 fatty acids + 1 glycerol) are those lipids which are commonly known as lipids.

4 0

2 years ago

Which macromolecule is passed from the chloroplast to the

Solnce55 [7]

Answer:

PROTIENS

Explanation:

6 0

3 years ago

Which of the following should be given to students before they begin a laboratory experiment?

Bogdan [553]

The answer is B. guidelines for safe laboratory practices

7 0

3 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

5 0

3 years ago