Answer:
Consumption and Investment
Explanation:
Consumption refers to household use of particular goods or services.
New and modern innovation creates new consumption, In this situation, a Decrease in 2010 model vehicle sales held by innovations and consumption also impact GDP.
If a business purchases these automobiles, it is called investment for automobile Businesses and industry.
Answer:
can you like explain itmore like you understand
Answer:
$800
Explanation:
The computation is shown below:
First we have to determine the total amount invested that is shown below:
= $11,000 + $4,000 + $5,000 + $8,000
= $28,000
And, the profit is $5,600
So, the percentage is
= $5,600 ÷ $28,000
= 0.2
Now the Gary share is
= $11,000 × 0.2
= $2,200
And, each share in profit
= $5,600 ÷ 4
= $1,400
Now the final amount is
= $2,200 - $1,400
= $800
Answer:
4.5%
Explanation:
Stock R (Beta) = 1.5
Stock S (Beta) = 0.75
Expected rate of return on an average stock (Rm)= 10%
Risk free rate (Rf) = 4%
Required Return (Re) = Rf +(Rm-Rf) B
Required Return = 0.04 + (0.10-0.04) B
Required Return = 0.04 + 0.06B
Stock R = 0.04 + (0.06 * 1.50)
Stock R = 0.04 + 0.09
Stock R = 0.13
Stock R = 13%
Stock S = 0.04 + (0.06 * 0.75)
Stock S = 0.04 + 0.045
Stock S = 0.085
Stock S = 8.5%
Here, the more risky stock is R and less risky stock is S. Since, R has more beta than the Stock S.
= 13% - 8.5%
= 4.5%
Based on the percentage of readers who own a particular make of the car and the random sample, we can infer that there is sufficient evidence at a 0.02 level to support the executive claim.
<h3>What is the evidence to support the executive's claim?</h3>
The hypothesis is:
Null hypothesis : P = 0.55
Alternate hypothesis : P ≠ 0.55
We then need to find the test statistic:
= (Probability found by marketing executive - Probability from publisher) / √( (Probability from publisher x (1 - Probability from publisher))/ number of people sampled
= (0.46 - 0.55) / √(( 0.55 x ( 1 - 0.55)) / 200
= -2.56
Using this z value as the test statistic, perform a two-tailed test to show:
= P( Z < -2.56) + P(Z > 2.56)
= 0.0052 + 0.0052
= 0.0104
The p-value is 0.0104 which is less than the significance level of 0.02. This means that we reject the null hypothesis.
The Marketing executive was correct.
Find out more on the null and alternate hypothesis at brainly.com/question/25263462
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