Answer:
Explanation:
Data given and notation
represent the sample mean
represent the standard deviation for the sample
sample size
represent the value that we want to test
represent the significance level for the hypothesis test.
t would represent the statistic (variable of interest)
represent the p value for the test (variable of interest)
State the null and alternative hypotheses.
We need to conduct a hypothesis in order to determine if the mean is lower than 5600, the system of hypothesis would be:
Null hypothesis:
Alternative hypothesis:
We don't know the population deviation, so for this case is better apply a t test to compare the actual mean to the reference value, and the statistic is given by:
(1)
t-test: "Is used to compare group means. Is one of the most common tests and is used to determine if the mean is (higher, less or not equal) to an specified value".
Calculate the statistic
We can replace in formula (1) the info given like this:
Answer: The Break-Even Point will reduce from $4,285.71 to $4,125
Explanation:
To get the Break-Even Point we can divide Fixed Assets by the Contribution margin.
The Contribution Margin is the Selling Price minus the Variable Cost.
For Scenario 1 the Break-Even Point will be,
= 15,000 / ( 6 - 2.50)
= $4,285.71
For Scenario 2 the Break-Even Point is,
= 16,500 / 6.5 -2.5
= $4,125
The Break-Even Point for Scenario 2 means that even though the higher Fixed Costs could have led to a higher Break-Even Point, the higher price contributed more than the fixed costs did and led to an ultimately lower Break-Even Point than the first Scenario.
Answer:
B) French wines will become more expensive in the United States.
Explanation:
When rate of dollar falls to that of euro, the same number of dollars will purchase fewer French goods, so French goods become more expensive to American consumers. If one travels to Europe (including France), one will exchange one dollar for less than one euro
