Answer:
286
Step-by-step explanation:
Given : Myra asked Annabelle to buy her some perfume while she was in France. Annabelle paid 200 euros for it. Myra wants to pay Annabelle back in U.S. dollars.
To Find: If the foreign exchange rate between the U.S. dollar and the euro is 1:0.7, how much should Myra pay Annabelle?
Solution:
Since Annabelle paid 200 euros
And Myra wants to pay Annabelle back in U.S. dollars.
Let Myra paid amount to Annabelle in U.S. dollar be x
We are also given that the U.S. dollar and the euro is 1:0.7
⇒
⇒
⇒
⇒
⇒285.7≈286
Thus Myra should pay $286 to Annabelle
Answer: 3 million barrels
Step-by-step explanation:
Given :- Total crude oil= 60 million barrels
Quantity of gasoline = 34% of total crude oil
Quantity of diesel = 29% of total crude oil
Clearly, Quantity of gasoline is more than Quantity of diesel
difference = Quantity of gasoline-Quantity of diesel
Therefore, The production of gasoline is 3 million barrels more than diesel last year.
Answer:
a) Are dependent since we are mesuring at the same individuals but on different times and with a different method
b) If we see the qq plot we don't have any significant deviation for the values and we don't have any heavy tail so we can conclude that we can approximate the differences with the normal distribution.
c)
So the p value is higher than the significance level given, so then we can conclude that we FAIL to reject the null hypothesis. So we can conclude that the mean differences is NOT significantly different from 0 .
Step-by-step explanation:
A paired t-test is used to compare two population means where you have two samples in which observations in one sample can be paired with observations in the other sample. For example if we have Before-and-after observations (This problem) we can use it.
The Q-Q plot, or quantile-quantile plot, "is a graphical tool to help us assess if a set of data plausibly came from some theoretical distribution such as a Normal or exponential".
Let put some notation
x=value for A , y = value for B
A: 379, 378, 328, 372, 325, 304, 356, 309, 354, 318, 355, 392
B: 372, 376, 328, 368, 283, 252, 369, 321, 379, 303, 328, 411
(a) Are the two samples paired or independent? Explain your answer.
Are dependent since we are mesuring at the same individuals but on different times and with a different method
(b) Make a normal QQ plot of the differences within each pair. Is it reasonable to assume a normal population of differences?
The first step is calculate the difference and we obtain this:
d: 7,2,0,4,42,52,-13,-12,-25,15,27,-19
In order to do the qqplot we can use the following R code:
d<-c(7,2,0,4,42,52,-13,-12,-25,15,27,-19)
qqnorm(d)
And the graph obtained is attached.
If we see the qq plot we don't have any significant deviation for the values and we don't have any heavy tail so we can conclude that we can approximate the differences with the normal distribution.
(c) Choose a test appropriate for the hypotheses above and justify your choice based on your answers to parts (a) and (b). Perform the test by computing a p-value, make a test decision, and state your conclusion in the context of the problem
The system of hypothesis for this case are:
Null hypothesis:
Alternative hypothesis:
The second step is calculate the mean difference
The third step would be calculate the standard deviation for the differences, and we got:
The 4 step is calculate the statistic given by :
The next step is calculate the degrees of freedom given by:
Now we can calculate the p value, since we have a two tailed test the p value is given by:
So the p value is higher than the significance level given, so then we can conclude that we FAIL to reject the null hypothesis. So we can conclude that the mean differences is NOT significantly different from 0 .
