Franchisers are firms that have their product created, designed, financed, and initially produced in the home country but rely h
2 answers:
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Answer:
4.86%
Explanation:
Given that,
First-class postage for a 1-ounce envelope = 4 cents
On August 1, 2007
A first-class stamp for the same envelope cost = 41 cents
Period, n = 49 years
i = 1.0486 - 1
= 0.0486 or 4.86%
Therefore, the interest rate is 4.86%.
Answer:
$409185
Explanation:
Given: Budgeted output units: 28,475 units
Budgeted machine-hours: 17,085 hours
Budgeted variable manufacturing overhead costs for 28,475 units: $358,785
Actual output units produced: 32,475 units
Actual machine-hours used: 15,000 hours
Actual variable manufacturing overhead costs: $384,060.
First, we will find Budgeted machine hour per unit produced.
Budgeted machine hour per unit produced=
⇒
∴Budgeted machine hour per unit produced= 0.6
Budgeted machine hours allowed for 32475 units=
Budgeted variable overhead rate per machine hour=
Budgeted variable overhead rate per machine hour=
Now, lets find out flexible budget amount.
Flexible budget amount=
Flexible budget amount=
∴Flexible budget amount for variable manufacturing overhead= $409185
Answer:
And we can find this probability using the normal standard distribution table or excel and we got:
Explanation:
Previous concepts
Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".
The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".
Solution to the problem
Let X the random variable that represent the expected return, and for this case we know the distribution for X is given by:
Where and
We are interested on this probability
And the best way to solve this problem is using the normal standard distribution and the z score given by:
If we apply this formula to our probability we got this:
And we can find this probability using the normal standard distribution table or excel and we got: