The most suitable tool that can enable a student to determine an academic major is an interest inventory.
Option D is the correct answer.
<h3>What is an academic major?</h3>
An academic major is an academic subject in which an undergraduate student is enrolled. When a student completes his/her all examinations then he/she is awarded an undergraduate degree.
An interest inventory is a type of instrument used to identify and evaluate the areas of interest of a student. It is also called an interest test. it can help a student to make choice about his/her academic major for graduate studies.
Therefore, the interest inventory is the most suitable tool for determining an academic major.
Learn more about the academic major in the related link;
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Debit because, you can keep track of it and it comes straight out of your bank account.
Answer: False
Explanation:
The Net Income also takes into account cash that has not been paid yet from credit sales as well as other non-cash expenses. It is therefore not a measure of how much cash is available to be distributed to shareholders.
The amount that represents the cash available to distribute to shareholders is called the Free Cash Flow to the Firm (FCFF) and accounts for the actual amount of cash available in the company for disbursement.
Answer:
c. Subtract total satisfaction from consuming N - 1 (first) products from total satisfaction from consuming N products
Explanation:
By definition, marginal utility of consuming one more unit of product or service is the additional satisfaction of consuming that unit of product or service.
That additional satisfaction from (consuming) the Nth products = total satisfaction from (consuming) all N products - satisfaction from consuming (first) N - 1 products
(first) should be added, because you are finding the satisfaction from the last consumed product.
1. The researcher is concerned about making a Type I error (which caused by incorrect rejection of a true null hypothesis), which concludes that there are differences between the placebo and medication groups when these are really due merely to chance.
2. <span> In order to decrease the likelihood of type I error, the researcher could reduce her probability (alpha) leve to .01 or even .001.
Other method that she could do even though it's not popular is reducing her sample size.
3. The same method to solve type 1 errors would not work in other studies. As the possibility of type 1 error increased, the possibility of type 2 error will be decreased (for example type 2 error could be reduced by </span><span>by increasing the power of your test)</span>
