Answer:
(a)The amount of fuel in dollars = $1.62
(b)The rate equivalent to in U.S. dollars per gallon = $ 1.45
Step-by-step explanation:
Reid will be driving through Spain this summer. He did some research and knows that the average price of gas in Spain is approximately 1.12 euros per liter.
1 USD = 0.69 euros
We have to find the money that we should pay in order to get the same amount of fuel.
1 euro = 
1 euro = $1.45
So 1.12 euros = 1.12
1.45 = $1.62
(a)The amount of fuel in dollars = $1.62
(b)The rate equivalent to in U.S. dollars per gallon = $ 1.45
This is easy if im right then it should be 1,000 because look at it this way they charge 55$ and they need to raise 55,000$ and what number has three zeros right off your 1,000 right so times that together and its 55,000
Answer:
r = sqrt( 3V/( pih))
Step-by-step explanation:
V = 1/3 pi r^2 h
Solving for r
Multiply each side by 3
3V = pi r^2h
Divide each side by pi h
3V/( pi h) = r^2
Take the square root of each side
sqrt( 3V/ (pi h) )= sqrt( r^2)
sqrt( 3V/ (pi h)) = r
Answer:
Option B - False
Step-by-step explanation:
Critical value is a point beyond which we normally reject the null hypothesis. Whereas, P-value is defined as the probability to the right of respective statistic which could either be Z, T or chi. Now, the benefit of using p-value is that it calculates a probability estimate which we will be able to test at any level of significance by comparing the probability directly with the significance level.
For example, let's assume that the Z-value for a particular experiment is 1.67, which will be greater than the critical value at 5% which will be 1.64. Thus, if we want to check for a different significance level of 1%, we will need to calculate a new critical value.
Whereas, if we calculate the p-value for say 1.67, it will give a value of about 0.047. This p-value can be used to reject the hypothesis at 5% significance level since 0.047 < 0.05. But with a significance level of 1%, the hypothesis can be accepted since 0.047 > 0.01.
Thus, it's clear critical values are different from P-values and they can't be used interchangeably.
