I think the correct answer from the choices listed above is option A. The statement d<span>ue to the complexity of the surrounding environment, individuals often use both top-down and bottom-up processing when perceiving is correct. Hope this answers the question.</span>
Hey There Kash,
<span>What's is 18/10 in a %?
</span>Converting a fraction such as 10/18 into a percent is pretty easy.
All you have to do is divide the numerator by the denominator and then multiply that result with 100 like so:
(Numerator/Denominator)*100
<span>When you enter 10/18 into the above formula, you get (10/18)*100 which calculates to: </span>
<span>55.56%
</span>
Answer: 55.56
Answer
The aspects and sectors of the U.S economy affected by regulations are;
• Allocative efficiency across sectors of economy
• Competition within industries
• Cost vs benefit in promoting public interests and goods
• Macroeconomic and employment sectors
Explanation
Regulations affect the manner national resources such as labor and capital are utilized in the production of goods and services. These regulations check whether the inputs are distributed to their desired uses. The regulation set the environment for new businesses to form and for the existing successful ones to grow and thrive. Regulations have an effect on both short term and long term economic growth in terms of employment during a recession period and in investment and innovation.
The normal distribution, also known as the Gaussian distribution or bell curve, is widely used in science. It is a probability distribution that has the following properties. The distribution has a single peak located at the mean. Furthermore, the mean, median and mode are all equal, so they also correspond to the location of the highest point in a normal distribution. The distribution is symmetric. In other words, it has no skew. It is parametric meaning that the distribution is completely characterized by two parameters: the mean and standard deviation. The normal distribution is "light tailed". This means that as you move away from the mean, the probabilities get small very quickly.One of the reasons that the normal distribution is used so widely is that is arises naturally in many real world situations.
