Answer:
High entry costs prevent new producers from entering the market. ... Producers actively segment the market to avoid competition. High entry costs prevent new producers from entering the market.
Explanation:
Hope this helps:)
~Kisame'sAbs
The formula for exponential growth rate is:
A = Ao e^(k t)
where A is the final standard of living, Ao is the
initial, k is the growth rate constant in decimal = 0.08, t is time elapsed
So we will find t at A/Ao = 2
A/Ao = e^(k t)
2 = e^( 0.08 t)
t = 8.66 ~ since more than therefore 9
So by the time they reached age 29
Answer:
Buyer/seller
Explanation:
In the case of lean system it focused on the customer side while on the other hand the JIT i.e. Just in time focused on the manufacturing process i.e. efficiency
So in the case of lean or JIT system the burden for ensuring the production quality from vendor shifts is from the buyer to the seller
Therefore the above represents the answer
Answer:
The economic principle governing the congressional package is known as economic stimuli.
Explanation:
The phenomenon of Economic stimuli is described as a change in economic or fiscal policy to enable economic growth in an economic slump. Some of the other activities may include dropping interest rate or quantitative easing.
Answer:
The statement is true
Explanation:
As a fact, I agree that with large sample sizes, even the small differences between the null value and the observed point estimate can be statistically significant.
To put it differently, any differences between the null value and the observed point estimate will be material and/or significant if the samples are large in shape and form.
It's also established that point estimate get more clearer and understandable, and the difference between the mean and the null value can be easily singled out if the sample size is bigger.
Suffix to say, however, while the difference may connote a statistical importance, the practical implication notwithstanding, will be looked and studied on a different set of rules and procedures, beyond the statistical relevance.