Considering the available options, an example of an intermediary is "New car dealership."
This is based on the idea that an intermediary is an organization between the producers and the final consumers in the business chain transaction.
Thus, a new car dealership is considered an intermediary because he is neither a producer nor the final consumer of the automobile product.
Generally, in any industry, there are different types of intermediaries, they include:
agents, wholesalers, distributors, and retailers.
Hence, in this case, it is concluded that the correct answer is option C. "New Car Dealership."
Learn more here: brainly.com/question/22272615
Answer:
See explanation below.
Explanation:
1. Equity: the value of a property above any loans that are owed.
2. Lease: a payment in a series that is made over a long period of time installment, to buy something on credit.
3. Finance: a legal agreement to borrow money for the purchase of a home.
4. Mortgage: a legal agreement allowing a person to use a car or property for a payment.
Answer with its Explanation:
In the 1800s, advertising was done in local newspapers and in a number of magazines. The cost of advertising in newspapers was very high in those days because the only source of communication with the public was newspaper and magazines.
The designing of copying and opting to art was very common in those days which was adopted to attract key customers and placement of the advertisements in a specific place which would result in higher sales was also common to attract customer attention.
The telephone was invented in 1876, but still telemarketing started in 1970s. So the primary source of advertising and sales promotions was either by newspaper and magazines or face to face selling.
Please find full question attached
Answer:
Inferential statistics
Descriptive statistics
inferential statistics
descriptive statistics
Descriptive statistics
Inferential statistics
Explanation:
Descriptive statistics describes data and gives us a picture of what the data summary looks like using such things as mean and central tendency measures. Inferential statistics on the other hand aims to make predictions using the data based on data analysis such as collecting sample from population and constructing hypotheses to estimate outcomes for the general population. Example in the question, the first is inferential statistics as we make generalized predictions on batteries using data samples from the population of batteries of a particular type.