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Natalka [10]
3 years ago
8

Statistical quality control (SQC) is the process some managers use to continually monitor all phases of the production process t

o assure that quality is being built into the product from the beginning of the production process.
a) true
b) false
Business
1 answer:
forsale [732]3 years ago
4 0

Answer:

True.

Explanation:

Statistical quality control employs the use of statistical tools to monitor and maintain quality levels at all stages of production.

Processes are measured to see if they fall within acceptable limits.

Production stages that are not meeting quality standards are identified and the problem is solved.

This concept was originally developed by Walter Schewhart in the 1920s.

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Suppose that the S&P 500, with a beta of 1.0, has an expected return of 13% and T-bills provide a risk-free return of 4%. a.
Aleksandr [31]

Answer:

a. The answers are as follows:

(i) Expected of Return of Portfolio = 4%; and Beta of Portfolio = 0

(ii) Expected of Return of Portfolio = 6.25%; and Beta of Portfolio = 0.25

(iii) Expected of Return of Portfolio = 8.50%; and Beta of Portfolio = 0.50

(iv) Expected of Return of Portfolio = 10.75%; and Beta of Portfolio = 0.75

(v) Expected of Return of Portfolio = 13%; and Beta of Portfolio = 1.0

b. Change in expected return = 9% increase

Explanation:

Note: This question is not complete as part b of it is omitted. The complete question is therefore provided before answering the question as follows:

Suppose that the S&P 500, with a beta of 1.0, has an expected return of 13% and T-bills provide a risk-free return of 4%.

a. What would be the expected return and beta of portfolios constructed from these two assets with weights in the S&P 500 of (i) 0; (ii) 0.25; (iii) 0.50; (iv) 0.75; (v) 1.0

b. How does expected return vary with beta? (Do not round intermediate calculations.)

The explanation to the answers are now provided as follows:

a. What would be the expected return and beta of portfolios constructed from these two assets with weights in the S&P 500 of (i) 0; (ii) 0.25; (iii) 0.50; (iv) 0.75; (v) 1.0

To calculate these, we use the following formula:

Expected of Return of Portfolio = (WS&P * RS&P) + (WT * RT) ………… (1)

Beta of Portfolio = (WS&P * BS&P) + (WT * BT) ………………..………………. (2)

Where;

WS&P = Weight of S&P = (1) – (1v)

RS&P = Return of S&P = 13%, or 0.13

WT = Weight of T-bills = 1 – WS&P

RT = Return of T-bills = 4%, or 0.04

BS&P = 1.0

BT = 0

After substituting the values into equation (1) & (2), we therefore have:

(i) Expected return and beta of portfolios with weights in the S&P 500 of 0 (i.e. WS&P = 0)

Using equation (1), we have:

Expected of Return of Portfolio = (0 * 0.13) + ((1 - 0) * 0.04) = 0.04, or 4%

Using equation (2), we have:

Beta of Portfolio = (0 * 1.0) + ((1 - 0) * 0) = 0

(ii) Expected return and beta of portfolios with weights in the S&P 500 of 0.25 (i.e. WS&P = 0.25)

Using equation (1), we have:

Expected of Return of Portfolio = (0.25 * 0.13) + ((1 - 0.25) * 0.04) = 0.0625, or 6.25%

Using equation (2), we have:

Beta of Portfolio = (0.25 * 1.0) + ((1 - 0.25) * 0) = 0.25

(iii) Expected return and beta of portfolios with weights in the S&P 500 of 0.50 (i.e. WS&P = 0.50)

Using equation (1), we have:

Expected of Return of Portfolio = (0.50 * 0.13) + ((1 - 0.50) * 0.04) = 0.0850, or 8.50%

Using equation (2), we have:

Beta of Portfolio = (0.50 * 1.0) + ((1 - 0.50) * 0) = 0.50

(iv) Expected return and beta of portfolios with weights in the S&P 500 of 0.75 (i.e. WS&P = 0.75)

Using equation (1), we have:

Expected of Return of Portfolio = (0.75 * 0.13) + ((1 - 0.75) * 0.04) = 0.1075, or 10.75%

Using equation (2), we have:

Beta of Portfolio = (0.75 * 1.0) + ((1 - 0.75) * 0) = 0.75

(v) Expected return and beta of portfolios with weights in the S&P 500 of 1.0 (i.e. WS&P = 1.0)

Using equation (1), we have:

Expected of Return of Portfolio = (1.0 * 0.13) + ((1 – 1.0) * 0.04) = 0.13, or 13%

Using equation (2), we have:

Beta of Portfolio = (1.0 * 1.0) + (1 – 1.0) * 0) = 1.0

b. How does expected return vary with beta? (Do not round intermediate calculations.)

There expected return will increase by the percentage of the difference between Expected Return and Risk free rate. That is;

Change in expected return = Expected Return - Risk free rate = 13% - 4% = 9% increase

4 0
3 years ago
What type of firm helps consumers and businesses build
NISA [10]

Answer: the answer is investment

Explanation: i just did the quiz

3 0
3 years ago
Gina writes and signs a check payable to "Happy Market." Irma, Happy’s manager, indorses the check "For deposit only." This is
Pachacha [2.7K]

Answer:

c.a restrictive indorsement.

Explanation:

-Blank endorsement refers to an instrument that allows any holder to request the payment.

-Qualified endorsement refers to a signature in an instrument that transfers the amount to other person.

-Restrictive endorsement puts a limit on an instrument like the sentence "For deposit only."

-Special endorsement enables to make a check payable to someone else.

According to this, the answer is that this is a restrictive endorsement.

4 0
3 years ago
In the long run for a competitive firm,
Andrei [34K]

Answer:

The correct answer is letter "C": the firm is at the bottom of its short run average cost curve.

Explanation:

Competitive firms are companies that accept the equilibrium price of a given good or service within a market. If they try to raise the price, they will not be able to sell their products. It is said that <em>in the long term a competitive firm is at the bottom of its short-run average cost curve because it portraits the most efficient level of production</em>. That curve shows the optimal least-cost input combination for producing output.

8 0
3 years ago
A(n) ______ allows the free movement of factors of productions among member countries, eliminates trade barriers among member co
Alecsey [184]

Answer:

common market

Explanation:

5 0
2 years ago
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