Answer:
The opportunity cost is the value of the Free ticket fee, the pleasure you would derive from going to your favorite venue, and the joy in seeing your favorite artist.
Explanation:
Opportunity cost is defined as the value or benefit of the forgone alternative in the course of making a decision. In this case, you are either faced with enjoying yourself at the event where your best artist will be performing at your favorite venue and at no cost and then performing badly on your ECON test on Friday, or sit back and study on Thursday so you can pass your test and then forget the event. Hence once you choose to study, the opportunity cost is the value of the ticket fee, the pleasure you would derive from going to your favorite venue, and seeing your favorite artist. Missing an autograph from your favorite artist can also be considered part of the opportunity cost.
Put the specimen into the jar and seal it. Leave the insect in the jar until its appendages will move freely. Then pin the specimen, spread it in the desired shape, and allow it to dry. ... Small, soft-bodied insects would soon dry out and shrivel or become distorted if not preserved in alcohol.
Hello. You forgot to add the chart that allows your question to be answered. It is important that you always provide all the information necessary for your question to be answered, as you deserve.
The graph is in the figure attached below.
Answer:
Fewer new businesses were started in 2010 than in other years.
Explanation:
The graph shows the number of new jobs that have been created by creating new businesses in the USA. As you can see, when looking at the graph, the year 2010 shows the smallest bar compared to the other years. This means that the year 2010 presented the lowest rate of new jobs formed through the creation of new businesses. With that, we can conclude that fewer new businesses were started in 2010 than in other years.
A good teacher would let you stand up
In supervised learning, class labels of the training samples are <u>"known".</u>
In supervised learning, we begin with bringing in data set containing preparing characteristics and the objective qualities. The Supervised Learning calculation will take in the connection between preparing illustrations and their related target factors and apply that scholarly relationship to order completely new contributions (without targets).
In supervised learning, every case is a couple comprising of an info question (commonly a vector) and a coveted yield esteem (additionally called the supervisory flag). A supervised learning calculation examines the preparation information and produces a gathered capacity, which can be utilized for mapping new cases.
