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Naily [24]
2 years ago
10

Critical Thinking Questions 1. Why does the sushi robot make​ sense? A. It never rusts out. B. It is faster than a human. Your a

nswer is correct.C. It replaces humans altogether. D. It costs less than other machines. 2. Services make up what percent of the U.S.​ economy? A. ​4% B. ​90% C. ​64% D. ​40%
Business
1 answer:
AveGali [126]2 years ago
3 0

Answer:

1 - B - It is faster than a human.

2 - C - 64%

Explanation:

1 - The sole purpose of introducing robots in working fields is to get benefits from their capabilities. They can do processes faster than any human. Sushi robots has the ability to make 300 sushi's in an hour where a human can make 40 or 50 in the same time (Fact taken from NY Times article).

2- Since you haven't mentioned the year, so i would give you the current year's answer. Services sector contributes 64% to the US Economy.

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joes shoe shop raises prices from the equilibrium price of $40 a pair to its new price of $60 a pair.
kipiarov [429]
I think you’re referring to the competitive equilibrium price
6 0
2 years ago
Read 2 more answers
Xerox, the U.S. Postal​ Service, and​ McDonald's have enjoyed significant market power in the past. List and explain three major
Elena L [17]

Answer:

Correct Answer:

E. fewer substitutes are available because consumers are more sensitive to prices.

Explanation:

<em>Market power is the ability of a company to successfully influence the pricing of its products or services in the overall marketplace. </em><em>This is common among most big corporations that produces consumer goods and offer services. </em>

This market power can be influenced by some factors. On the other-hand, the market power could be eroded leading to inability of the companies to influence prices do to the following:

1.<u> Number of companies in the market:</u> The lower the companies producing same product in the market, the higher the chances of the companies to be able to influence market prices. Otherwise, the market power will be eroded due to high number of companies.

2. <u>Elasticity of demand:</u> The persistent demand of a product by people helps to determine the market power of those companies. When this is lacking, the market power is eroded.

3. <u>Product differentiation:</u> The ability of a company to provide a unique product that offers good services in a market helps it to achieve market power. Lack of these erodes the market power.

3 0
2 years ago
Which method of analysis does not classify variables as dependent or independent?
Masja [62]

Answer:

C) cluster analysis

Explanation:

Regression analysis. The regression analysis determines the relationship between the two variables. Thus, one of these quantities (X) is given in advance(dependent) and is not random. The second value (U) is the independent and random number. The randomness of the second quantity can be explained for two reasons. First: Measuring the random number U, which depends on the number X, is associated with certain errors; second: The value of U may depend on other uncontrollable factors, in addition to being dependent on the value of the corresponding X value. In this case, we need to talk about the distribution of the random variable U against each value of the X variable.  The main purpose of the regression analysis is to build a mathematical model that takes into account the factors affecting the physical process using experimental data and evaluating its accuracy.  The least squares method is used for statistical estimation of the mathematical model's suitability to experimental data.

Discriminant analysis is a method used in statistics, pattern recognition, and machine learning to find a linear combination of attributes that define or distinguish two or more classes or events. The resulting combination can be used as a linear classifier or more often to reduce the size before classifying.  LDA is closely related to variance analysis (ANOVA) and regression analysis, which try to express a dependent variable as a linear combination of other properties or dimensions. However, while variance analysis uses qualitative independent variables and a continuous dependent variable, discriminant analysis has continuous independent variables and a qualitative dependent variable.

Cluster analysis or clustering is a problem of grouping a number of objects. In this problem, objects must be in some way more similar to those in other groups to accommodate the same clusters (clusters). One of the main problems with data transmission is a common technique used in statistical data analysis. It is also used in machine learning, pattern recognition, image analysis, data retrieval, bioinformatics, data compression and computer graphics.

One-way analysis of variance (ANOVA) is used to calculate the significance of the difference between three and more independent means in a normally distributed series. ANOVA compares the arithmetic means of three or more groups alone; ANOVA result is also significant when at least one of these comparisons is significant. To measure the significance it will have the relation to the regression analysis that's why there will be dependent and independent variables as well.

6 0
2 years ago
Read 2 more answers
Consider a risky portfolio. The end-of-year cash flow derived from the portfolio will be either $70,000 or $200,000 with equal p
xenn [34]

Answer:

A) 964,286

B) 14

C) 750,000

Explanation:

The portfolios expected return = (0.5 x $70,000) + (0.5 x $200,000) = $35,000 + $100,000 = $135,000

If the risk free investment yields 6% per year, and you require a risk premium of 8%, then the total interest rate that the portfolio yields must be 6% + 8% = 14%

you will be willing to pay: $135,000 / 14% = $964,286 for the portfolio

if the risk premium increase by 4%, then the price of the portfolio will decrease to: $135,000 / 18% = $750,000

4 0
2 years ago
An investor has purchased stock in a firm. The investor believes that, at the end of the year, there is 0.20 probability that th
disa [49]

Answer:

loss of $200

Explanation:

As given, there are three cases can happen:

1) 0.20 probability that the stock will show a $3000 profit

=> 0.20 probability that profit = $3,000

2) 0.10 probability that the stock will show a $6000 profit

=> 0.10 probability that profit = $6,000

3) 0.70 probability that the stock will show a $2000 loss

=> 0.70 probability that profit = - $2,000

The expected profit in the stock at the end of the year can be calculated as following:

<em>Expected profit = Probability case 1 x Profit case 1 + Probability case 2 x Profit case 2 + Probability case 3 x Profit case 3 </em>

<em>=0.2 x 3,000 + 0.1 x 6,000 + 0.7 x (-2,000)</em>

<em>=. 600 + 600 -1,400 = -200</em>

<em />

So that, the expected profit in the stock is the loss of $200

5 0
2 years ago
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