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kiruha [24]
2 years ago
13

Nathan was worried that his company was missing a lot of opportunity to sell their products in China because of the separation c

reated by language, culture, and distance. In other words, his company had a lack of _____.
Business
1 answer:
lina2011 [118]2 years ago
4 0

The inability of Nathan's company to sell their products in China can be said to be: lack of knowledge.

<h3>What is Knowledge of a Market?</h3>

Understanding your market target for a specific product goes a long way in saving resource wastage and facilitates effective marketing strategy that gurantees sales.

Knowledge of the culture and language of a market is key to penetrating a market.

Thus, the inability of Nathan's company to sell their products in China can be said to be: lack of knowledge.

Learn more about knowledge of a market on:

brainly.com/question/2889076

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Nysa works in an electricity distribution company’s customer service department. One day she gets a call from a customer who is
jolli1 [7]

Answer: The correct answer is empathy!

Explanation:

She put herself in the customers shoes and voiced that she was understanding. She was also patient but they emphasized how considerate she was in the example, so empathy is the answer ;)

8 0
3 years ago
Read 2 more answers
As part of an economics class project, students were asked to randomly select 500 New York Stock Exchange (NYSE) stocks from the
svet-max [94.6K]

Answer:

Descriptive Statistics

Explanation:

Descriptive Statistics is a technique in which data is collected and then analysis is made on the selected data through numerical techniques or graphs. In the given question the students have selected stocks and are analyzing its performance through graphical and numerical technique. This is descriptive statistics.

6 0
3 years ago
The Sedgwick Company estimates sales of a new product at 5,000 units and $3.00 per unit. Management feels the sales quantity is
Soloha48 [4]

Answer:

B) $12,825

Explanation:

In order to calculate the worst case scenario of sales first we need to calculate the worst case for sales of units.

The Company estimates that 5,000 units will be sold with a 10 percent plus-or-minus range. So, let calculate the worst case for the sale of units, in this case being 90% of the 5,000 unit estimate. Calculate 90% of 5,000, and this gives us 4,500 units as the worst case scenario.

To calculate the the worst case scenario for price, lets use the $3.00 per unit estimated by the Company, and apply the same concept, however, taking into account that sales price has a 5 percent plus-or minus range. So we caclulate %95 of $3.00, and this gives us $2.85 as our worst case scenario for price.

Now, we take our worst case scenario for amount of units and price:

4,500 units x $2.85 = $12,825

$12,825 is the total dollar amount for the worst case scenario of this product.

5 0
3 years ago
. Eric has another​ get-rich-quick idea, but needs funding to support it. He chooses an​ all-debt funding scenario. He will borr
Sergio039 [100]

Answer:

6.04%

Explanation:

The weighted average cost of capital (WACC) can be described as the average rate that is expected that a business will pay to finance its assets to all holders of its security.

The weighted average cost of capital (WACC) can be estimated as the summation of the products of the weight of each loan in the total loan and their interest rate for this question as follows:

Total loan amount = $1,823 + $1,533 + $644 = 4,000

Weight of loan from Wendy = $1,823 / $4,000 = 0.46, or 46%

Weight of loan from Bebe = $1,533 / $4,000 = 0.38, or 38%

Weight of loan from Shelly = $644 / $4,000 = 0.16, or 16%

Weighted average cost of capital  = (46% * 4%) + (38% * 6%) + (16% * 12%) = 6.04%.

Therefore, the weighted average cost of capital for​ Eric is 6.04%.

7 0
3 years ago
What is the relationship between the alpha level, the size of the critical region, and the risk of a type i error?
quester [9]
Alpha level is a probability value that is used to define the concept of "very unlikely" in a hypothesis. This value determines he boundaries for the critical region, which is composed of the extreme sample values that are very unlikely to be obtained if the null hypothesis is true. Type I error is <span>when a researcher rejects a true null hypothesis.</span>
The relationship between the alpha level, the size of the critical region, and the risk of a type i error is the following: when the alpha level increases, the critical region increases and type I error increases.
4 0
3 years ago
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