Hey if you hope to be a college instructor in a subject you need to plan to complete B. BACHELORS DEGREE
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Answer: A. Speech of delivery
Explanation:
When buying things like software, there are certain things that will determine the value apart from the monetary price. These include the ease of installation and the availability of training assistance.
With ease of installation, the fundamental question is if the software is easy or complicated to install. The easier it is the better. Also is there someone who can help the users be able to master the features of the software. This is availability of training assistance.
Now while speech of delivery can help in convincing Hayden to buy from a particular shop, it does not contribute to the value of the software.
Answer:
A. Contradicted the Heckscher-Ohlin theory as the United States was relatively capital-abundant.
Explanation:
When Wassily Leontief tested the predictions of the Heckscher-Ohlin theory, he found that in 1947 the United States was exporting relatively labor-intensive goods and importing relatively capital-intensive goods. This finding: "Contradicted the Heckscher-Ohlin theory as the United States was relatively capital-abundant."
This is because Heckscher-Ohlin theory states that countries usually export commodities, and resources they have in excess, while in return, they import the commodities and resources they need.
However, given that the United States is a country that was relatively capital-abundant, Wassily Leontief's finding is considered to be a contradiction.
B. New controls in e-mail programs can ensure that your e-mail will remain private, both within your organization's server and at the receiver's end as well. This appears to be the best option, the sender can't control the reciever's server.
Answer:
The probability of no survive by the complement rule is
And the expected value would be given by:
So then the company would expect a net amount of 118.621 for the insurance.
Explanation:
Previous concepts
The expected value of a random variable X is the n-th moment about zero of a probability density function f(x) if X is continuous, or the weighted average for a discrete probability distribution, if X is discrete.
The expected value is defined by this formula:
Where represent the possible values for the random variable and the corresponding probabilities.
Solution to the problem
For this case we define X a random variable who represent the net amount of money for the company.
The probability of no survive by the complement rule is
And the expected value would be given by:
So then the company would expect a net amount of 118.621 for the insurance.