Answer:
persuasive
Explanation:
Persuasive advertising refers to a marketing strategy that seeks to persuade customers, especially new customers, to purchase their products or services. Persuasive advertising is extremely important when there are a lot of competitors, e.g. there are dozens of different laundry detergents and Tide must convince customers to keep buying it.
Answer:
Goodwill = 25,000
Explanation:
Goodwill is an intangible asset, is the differential reflected in a consolidated balance sheet immediately after the business combination between the purchase price of a company and the fair market value of identifiable assets and liabilities. Goodwill is recorded when the purchase price is higher than the sum of the fair value of all identifiable tangible and intangible assets purchased in the acquisition and the liabilities assumed in the process.
In this case:
Goodwill = Purchse Price - Net assets fair value
Goodwill = 340,000 - 315,000
Goodwill = 25,000
The difference between the book value and fair value of the acquired company are adjustments to the amount presented in the consolidated balance sheet.
We can record a capital expenditure using the debit asset
<span>He has committed "twisting".</span>
<span>
Twisting is intentionally putting forth deceptive
expressions that would make a insured to lapse, appoint, or end insurance
policy with a specific end goal to switch companies or policies. It is the
demonstration of initiating or endeavor to instigate a policy owner to drop a
current policy and to take another policy by utilizing deceptions or fragmented
correlations of the focal points of the two policies.</span>
Given the following:
Sigma =
17.8
E =
44 points
Confidence interval = 99% - 2.58
Confidence interval = 95% - 1.96
In order to get the sample size,
use the formula:
For 99% confidence level
n =
[ (z value x s) / E ]2
n =
[ (2.58 x 17.8) / 44]2
n =
1. 089 or 1 (rounded up)
For 95% confidence level
n =
[ (z value x s) / E ]2
n =
[ (1.96 x 17.8) / 44]2
n =
0.628 or 1 (rounded up)
As we decrease the confidence
level, from 99% to 95%, our confidence interval gets smaller. In additional, to
be more confident that our interval actually comprises the population mean we
have to increase the size of the interval. To ease that trade off between level
of confidence and the precision of our interval is to primarily increase the
sample size.
