C. Ask customers to respond to a brief survey of their attitudes regarding insurance.
The "foot in the door" phenomenon is the tendency for people to agree to a large request if they have already previously agreed to a smaller/easier request. In this case, because the salesman has already convinced the customer to sit down and talk to him, they will be more likely to agree to do more by taking the survey.
Answer:
c. I, II, and III only
Explanation:
As we know that
Free cash flow = Earnings before Interest and Taxes × (1-Tax Rate) + Amortization and Depreciation expense - Change in Net Working Capital -Capital Expenditure
And, the Net income is determined after considering all cash and non cash expenses.
Therefore, I, II and III statements are considered
Hence, the option c is correct
Answer:
12.88%
Explanation:
Angela's disposable income $2,368
monthly expenses including recreational expenses ($2,127)
net cash flow $241
after expenses are reduced by $64, her net cash flow will increase to $305
Angela's monthly savings rate = (net cash flow / disposable income) x 100 = $305 / $2,368 = 12.88%
A person's savings rate is how much money they save (do not spend) compared to their total disposable income.
Answer:
c. 25 percent.
Explanation:
The computation of the reserve requirement percentage is shown below:
Given that
Deposits made = $8,000
Loans = $6,000
So the required reserve is
= deposits made - loans
= $8,000 - $6,000
= $2,000
Now the required reserve is
= $2,000 ÷ $8,000
= 25%
Hence, the correct option is c. 25 percent
We simply applied the above formula so that the correct value could come
And, the same is to be considered
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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