Answer:
7 cents/mile
Step-by-step explanation:
You are looking for a unit rate of cents per mile.
Change the dollar amount to cents, and divide by the number of miles.
$13.08 * (100 cents)/$ = 1308 cents
(1308 cents)/(183 miles) = 7.001 cents/mile
1 400 000 000 000 000 000 000 km = 1.4 * 10^21 km
Answer:

And the z score for 0.4 is

And then the probability desired would be:

Step-by-step explanation:
The normal approximation for this case is satisfied since the value for p is near to 0.5 and the sample size is large enough, and we have:


For this case we can assume that the population proportion have the following distribution
Where:


And we want to find this probability:

And we can use the z score formula given by:

And the z score for 0.4 is

And then the probability desired would be:

Answer:
If the slope is 3/5, then we should count 3 squares up and 5 squares to the right.
Step-by-step explanation:
You can find the slope with rise/run.