If the new technology innovation improves the production by 10%, they are increasing the amount of cars made by 10%.
Originally, 120 cars were made per day.
10% of 120 is 12.
Since the amount of cars made per day was increased by 12, we can add 12 to 120 to get 132 cars made per day (as the new unit rate).
The question asks how many cars can be produced in 5 days (after the car production increase). We can get the answer by multiplying our new daily amount of cars by 5: 132 times 5.
132 times 5 = 660
So, 660 cars can be produced in the factory in 5 days.
Answer:
Yes
Step-by-step explanation:
None of the x's repeat
According to your description, you can simply plug in all the numbers:
d(47) = 2.15 * 45^2 / (58.4*0.34) = 219.27 m
Answer:
$29500
Step-by-step explanation:
We have been given that Tariq lives in Palm Beach, Florida, and purchased a house for $250,000. The amount of millage for property tax is 11.8%. We are asked to find the amount of property tax that Tariq paid.
To find the amount of property tax paid by Tariq, we need to calculate 11.8% of $250,000.
Therefore, Tariq paid an amount of $29500 in tax.
Answer:
The price that is two standard deviations above the mean price is 4.90.
Step-by-step explanation:
Normal Probability Distribution:
Problems of normal distributions can be solved using the z-score formula.
In a set with mean and standard deviation , the z-score of a measure X is given by:
The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.
Mean of 3.22 and a standard deviation of 0.84.
This means that
Find the price that is two standard deviations above the mean price.
This is X when Z = 2. So
The price that is two standard deviations above the mean price is 4.90.