Answer:
The answer is: Akamai will probably lower its prices too.
Explanation:
When a company's competitors offer similar products and lower their prices, they are expecting a substitution effect to happen. This means that your customers will stop buying from you and will start buying similar substitute products from the competition at lower prices.
Akamai will probably try to avoid this from happening and the only feasible way they can do it is by also lowering their prices to match the competition's.
This means that the research shows that 95% of the yield is between 118 to 130 bushels per acre. The mean is 124 bushels per acre and the margin of error is 6 bushels per acre.
<h3>
Confidence interval</h3>
Given that 95% confidence interval for the true mean yield is 118 to 130 bushels per acre.
This means that the research shows that 95% of the yield is between 118 to 130 bushels per acre. The mean is 124 bushels per acre and the margin of error is 6 bushels per acre.
Hence:
μ ± E = (118, 130)
where μ is mean and E is margin of error
μ - E = 118 (1)
Also:
μ + E = 130 (2)
From both equations:
μ = 124, E = 6
The mean is 124 bushels per acre and the margin of error is 6 bushels per acre.
Find out more on Confidence interval at: brainly.com/question/15712887
The term secondary data denotes the facts and figures that have already been collected prior to the research at hand. In this case the data is about <span>coffee collective and secondary data in this case </span>might include previous years' budgets, old coffee collective marketing activities, internal sales figures, and customer emails.Primary data on the other hand are <span>facts and figures that are collected as part of a projec</span>
Answer: 0.072
Explanation:
From the question, we are given the information that income property has a gross annual income of $14,250 and monthly expenses of $300 and that it has been valued at $147,000.
The capitalization rate will be calculated as:
= [$14, 250 - ($300 X 12)]/$147,000
= ($14,250 - $3,600)/$147,000
= $10650/$147,000
= 0.072
= 7.2%