Calculate each exchange rate in the third column of the following table using the alternative version of the exchange rate given in the second column. 
Definitions:
Type I Error
The incorrect rejection of a true null hypothesis, also known as a "false positive."
Type II Error
Occurs when a statistical test fails to reject a false null hypothesis, also known as a false negative.
Null Hypothesis
A hypothesis that states there is no statistical significance between the two variables in the hypothesis. It posits no effect or no difference as a default stance to be tested against.
Alternative Hypothesis
A statement that contradicts the null hypothesis and proposes that there is a statistically significant relationship between two variables.
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