How do surpluses and shortages help establish the equilibrium price ?

The balance sheet for Kingbird, Inc. shows the following: total paid-in capital and retained earnings $860,000, total stockholde

PSYCHO15rus [73]

Answer:

$21.9 per share

Explanation:

Book value per share = Total stockholders’ equity/Common stock outstanding

Book value per share = $788,400 / 36,000

Book value per share = $21.9 per share

7 0

3 years ago

Since many people have trouble programming their dvd players, an electronics company has developed what it hopes will be easier

tatyana61 [14]

Answer:

$z=\frac{0.92-0.95}{\sqrt{\frac{0.95(1-0.95)}{100}}}=-1.376$

$p_v =P(z$

So the p value obtained was a very low value and using the significance level given $\alpha=0.05$ we have $p_v>\alpha$ so we can conclude that we have enough evidence to FAIL to reject the null hypothesis, and we can said that at 5% of significance the proportion of interest is not significantly lower than 0.95, so then the program works since we fail to reject the null hypothesis.

Explanation:

Data given and notation

n=100 represent the random sample taken

X=92 represent the successful

$\hat p=\frac{92}{100}=0.92$ estimated proportion of successes

$p_o=0.95$ is the value that we want to test

z would represent the statistic (variable of interest)

$p_v$ represent the p value (variable of interest)

Concepts and formulas to use

We need to conduct a hypothesis in order to test the claim that the true proportion is lower than 0.95 or no.:

Null hypothesis: $p\geq 0.95$

Alternative hypothesis: $p < 0.95$

When we conduct a proportion test we need to use the z statisitc, and the is given by:

$z=\frac{\hat p -p_o}{\sqrt{\frac{p_o (1-p_o)}{n}}}$ (1)

The One-Sample Proportion Test is used to assess whether a population proportion $\hat p$ is significantly different from a hypothesized value $p_o$ .

Calculate the statistic

Since we have all the info required we can replace in formula (1) like this:

$z=\frac{0.92-0.95}{\sqrt{\frac{0.95(1-0.95)}{100}}}=-1.376$

Statistical decision

It's important to refresh the p value method or p value approach . "This method is about determining "likely" or "unlikely" by determining the probability assuming the null hypothesis were true of observing a more extreme test statistic in the direction of the alternative hypothesis than the one observed". Or in other words is just a method to have an statistical decision to fail to reject or reject the null hypothesis.

The significance level assumed $\alpha=0.05$ . The next step would be calculate the p value for this test.

Since is a left tailed test the p value would be:

$p_v =P(z$

So the p value obtained was a very low value and using the significance level given $\alpha=0.05$ we have $p_v>\alpha$ so we can conclude that we have enough evidence to FAIL to reject the null hypothesis, and we can said that at 5% of significance the proportion of interest is not significantly lower than 0.95, so then the program works since we fail to reject the null hypothesis.

4 0

4 years ago

Which of the following is a disadvantage of using the net present value method of evaluating an investment proposal? a. It consi

olga55 [171]

Answer:

The disadvantage of using the net present value method of evaluating an investment proposal is option D) it assumes that cash flows can be reinvested at the minimum desired rate of return.

Explanation:

The net present value (NPV) is used to evaluate how a profitable a project is by taking out how much present value of cash inflows and outflows differ over a defined period of time. Now by using the definition alone it is very clear that the options a) and c) are correct, and option b) represents the most important function of this concept as by considering time value of money it tells that the money available to us in present is worth more than the same amount in future because on this present sum we can earn interest.

So from the above explanation we can say that the first three options are correct and the only disadvantage of using net present value is that here we are reinvesting cash flows at minimum rate of return.

4 0

3 years ago

Which statement best describes the two reactions?

Bas_tet [7]

Answer:

Reaction B involves a greater change and a change in element identity.

Explanation:

8 0

3 years ago

Read 2 more answers

Companies that manufacture products with a very ______ product life cycle have ______ as their core competency.

Citrus2011 [14]

Answer:

short, innovation

Explanation:

Manufacturing of short product cycle have the innovation requires for competency compare to those companies that manufacture on long product cycle.

It should be noted that Companies that manufacture products with a very short product life cycle have innovation as their core competency.

4 0

3 years ago