The Functions of Schemas:
1. Schemas help us to quickly interpret and categorize information. They allow us to make sense of the world around us by organizing it into meaningful categories and providing us with a framework for understanding and interpreting new information.
Problems with Schemas:
1. Schemas can lead to oversimplification and premature closure. Once we have a schema in place, we may be inclined to assume that it is the only way to interpret a situation or to assume that all new information will fit into the same categories. This can lead to inaccurate interpretations or assumptions.
What is Schemas?
Schemas are mental structures that help organize and interpret information. They are used to interpret sensory information, organize memories, and make predictions about the future. Schemas provide a framework for understanding and interpreting the world around us. They influence the way we perceive, think, and act. Schemas are often developed through experience and can be used to guide behavior. They can also be used to understand how people create meaning in their lives. Schemas are constantly evolving and changing as we encounter new experiences. They help us make sense of the world around us and can be used to explain why people behave the way they do.
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The most widely used source of short-term funding that Mr. Boyd (and other small business owners) would use to operate their business is trade credit.
<h3>What is Trade Credit?</h3>
This refers to the purchase financing where a person is allowed to collect goods and pay for them at a later date.
Hence, we can see that short term fundings are used to help startups and other businesses to stay afloat and the type of funding used by Mr. Boyd is trade credit.
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Using the Central Limit Theorem, it is found that the valid conclusion is given as follows:
The sampling distribution will probably not follow a normal distribution, hence we cannot draw a conclusion.
<h3>Central Limit Theorem</h3>
The Central Limit Theorem establishes that, for a normally distributed random variable X, with mean 
and standard deviation 
, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean and standard deviation 
.
For a skewed variable, the sampling distribution is also approximately normal, as long as n is at least 30.
In this problem, we have a skewed variable with a sample size less than 30, hence the Central Limit Theorem cannot be applied and the correct conclusion is:
The sampling distribution will probably not follow a normal distribution, hence we cannot draw a conclusion.
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Answer:
A.) 9 to 11
Explanation:
I believe that asking as many questions as possible is very useful especially during a job interview. This is so because it allows you a wide range of questions to chose from and to create in which can cover concerns about the general job description of the job in which you are further undergoing. Not only that but it even enables you to gain additional background about past experiences about the job as well as to list out any concerns that can possibly cause hazards or other dangers. To generalize, you get a very detailed concept of the job description and the environment, along with many of the employees with a long range of questions to chose from.
