Answer:
The answer is: too much data
Explanation:
If you follow Frank's recommendations, you would be examining seven factors (social media effects, personal recommendations, the book's place, the cover, customers' habits, type of cover and store's atmosphere). Some of them might even be opposing to the others, e.g. customer never read a book by that author, but likes the cover design, but only buys books with paperback covers, is in love with the store's clerk, likes romance but only reads action novels.
This is simply too much information. If you want to increase sales, it is better to focus on specific variables, or even a couple at most.
Answer:
The goodwill is $1.1 million
Explanation:
In this question, first we have to compute the net asset which is shown below:
Net asset = Total asset - total liabilities
where,
Total asset = Land + building + inventory
= $1.7 million + $3.4 million + $2.2 million
= $7.3 million
And, the total liabilities = long term note payable = $1.5 million
So, the net asset would equal to
= $7.3 million - $1.5 million
= $5.8 million
Now the goodwill equal to
= Cash purchase price - net asset
= $6.8 million - $5.8 million
= $1.0 million
Answer:
$1,157 rounded to the nearest whole dollar
Explanation:
<span>Many firms securely share relevant sales, inventory, product development, and marketing information with suppliers and other external partners via its extranet.
Extranet is a type of a website where control over information is given to the company's partners.
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Answer:
n = 100 customers
X = 80 who paid at the pump
A) the sample proportion = p = X / n = 80 / 100 = 0.8
we can definitely state that 80% of the customers paid at the pump.
B) if we want to determine the 95% confidence interval:
z (95%) = 1.96
confidence interval = p +/- z x √{[p(1 - p)] / n}
0.80 +/- 1.96 x √{[0.8(1 - 0.8)] / 100}
0.80 +/- 1.96 x √{(0.8 x 0.2) / 100}
0.80 +/- 1.96 x √{(0.8 x 0.2) / 100}
0.80 +/- 1.96 x 0.4
0.80 +/- 0.0784
confidence interval = (0.7216 ; 0.8784)
C) We can estimate with a 95% confidence that between 72.16% and 87.84% of the customers pay at the pump.
