Answer:
The company should use a mean of 12.37 ounces.
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.
The distribution for the amount of beer dispensed by the machine follows a normal distribution with a standard deviation of 0.17 ounce.
This means that 
The company can control the mean amount of beer dispensed by the machine. What value of the mean should the company use if it wants to guarantee that 98.5% of the bottles contain at least 12 ounces (the amount on the label)?
This is
, considering that when
, Z has a p-value of
, so when
.
Then





The company should use a mean of 12.37 ounces.
Answer:
Company C
Step-by-step explanation:
$60+4($20)=$140, lowest total price
Oh what's 80 percent of 3.50 well think of 100 percent is 3.50 and then keep on subtracting until you have 80 percent of what you have
<u>Given</u>:
Juan has been saving for a new bike for two months. So far, he has saved $150 for the bike.
The money that he has saved so far is 30% of the cost of the bike.
We need to determine the total cost of the bike.
<u>Total cost of the bike:</u>
Let x denote the total cost of the bike.
The total cost of the bike is given by

The value of 30% can be written as 
Thus, we get;

Multiplying both sides by
, we have;

Simplifying, we have;


Thus, the value of x is 500.
Hence, the total cost of the bike is $500.