Mike brought 100 shares costing $53 each.
Total costs of shares= 100*53
=$5300
He got dividends of $1.45 per share. A dividend is money that is earnt back from a share.
Total dividend amount = 1.45*100
=$145
I'm assuming that Mike sold his shares at the end of the year. He sells for $60 each.
Total sales amount=60*100
=$6000
The rate of return in this instance can be defined as the amount of money made back from a share.
Rate of return= total earnings/ costs
Total costs= $5300
Total earnings=$6145
6145/5300=1.1594
=15.9%
Hope this helps! :)
Rent control is a mechanism by which the price of renting is kept within certain boundaries, such that it doesn't rise beyond a given level, nor grows at a rate higher than a specified rate. It's therefore a price ceiling. It can't be a price floor because any owner may decide to charge a fee as low as one may not be able to imagine. While there's no restrictions as to how low a landlord can go in terms of charging renters, the concept of price floor can't be considered here.
Answer:
Relationship marketing
Explanation:
Marketing is a concept of presenting products to customer. There are various ways to market a product. Relationship marketing is a concept in which customer is the main focus, his needs, demands and customization requirements are kept in mind before referring any product to them. Many companies have formed a strategy in which product is designed according to customer lifestyle maintenance requirements. This will lead to higher profit as switching cost for customer is high and also their required product will not be available easily in the market.
Operations managers can use the mathematical tool of linear programming to plan and make resource allocation decisions. Hence. option (c) will be the suitable response for this question.
<h3>Give a brief account on linear programming.</h3>
An approach to getting the optimal result in a mathematical model whose requirements are expressed by linear connections is linear programming, often known as linear optimization.
Specifically, linear programming is a technique for optimizing a linear objective function while observing the constraints of linear equality and inequality. Its feasible region consists of convex polytopes, a set that is defined as the intersection of a finite number of half spaces, each of which is determined by a linear inequality. A real-valued affine function that is defined on this polyhedron serves as its goal function. If there is a location in the polytope where this function has the least value, a linear programming technique locates it.
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