Answer:
false
Explanation:
pretty sure that is false as one can have life insurance without property.
Still double check...
You would say "<span>Mr. Schott, Ms. West, sales representative for Seascape Graphics."
In professional introductions like this, you should include both name, position, and the place of the workers of that person. By doing this, your boss will understand the probable intent of that person and understand the relevancy between her and what the company wants to achieve.</span>
Answer:
See the attached pictures for detailed answer.
Explanation:
See the attached pictures for explanation.
Suppose that the market for haircuts in a community is perfectly competitive and that the market is initially in long-run equilibrium. subsequently, a decrease in population decreases the demand for haircuts. In the short run, we expect that the market price will <u>fall </u>and the output of a typical firm will <u>fall</u>.
<h3>
What is Long Run?</h3>
A time frame known as the "long run" is one in which all cost and production components are erratic. Long Run cost adjustments are possible for businesses, although short Run pricing changes can only be influenced by changes in production levels. Even though a company can have a monopoly in the short term, they might anticipate competition in the long run. A long run is a period of time when a producer or manufacturer can be flexible with its production choices. On the basis of anticipated profits, businesses can either increase or decrease their production capacity, or enter or leave a certain industry. Long-term-focused businesses are aware that changing output levels won't bring supply and demand into equilibrium.
To learn more about Long Run from the given link
brainly.com/question/17438349
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Answer:
A confidence estimate.
Explanation:
Confidence estimate is a statistical representation for the possiblity of occurance of any event. The confidence estimate is shown by using interval of estimate, it also known as confidence internal estimation. It show an approximate value of the unknown parameter of probablity distribution. It is useful as defence against judgmental biases.