(A)
Here we have given that
= population mean
=150
= population
standard deviation=5
Now we want to find
The Probablity that the machine will dispense between 150 and 153 mg
i.e P(150 < X < 154)
For that 1st we want to find the Zscore
For X=150

=
=0.00
Now, For x= 154
Zscore =
=
=-0.80
i.e we get

=0.2119 – 0.5000 ( using z standard normal talble)
=0.2881
That is
We get
P(150 < X < 154) =0.2881
that is here option A is correct
(B)
Here we have given that
= population mean
=150
= population
standard deviation=5
Now we want to find
The Probablity that the temperature of the coffee macchiato is more than 164 Fahrenheit.
i.e P( X> 164)
For that 1st we want to find the Zscore
For X=164

=
=2.80
i.e we get
P( Z > 2.80) =1-P( Z < 2.80)
=1-0.9974 ( using standard normal Z table)
=0.0026
i.e we get
P(Z > 164) = 0.0026
That is here option C is correct.
27. The amount of paste in a tube of special crème dispensed by a machine follows...
Problems 6 - 8: Suppose that the amount of coffee in each cup dispensed by a vending machine follows a normal distribution. A coffee vending machine is configured so that mean of all of the cups of coffee it dispenses is u = 12.0 ounces with a standard deviation o = 0.8 ounces. The mean of the distribution can be set by adjusting the filling machinery, while the standard deviation reflects the precision of the filling machinery. During a quality...
A soft-drink machine at a steak house is regulated so that the amount of drink dispensed is approximately normally distributed with a mean of 210 milliliters and a standard deviation of 12 milliliters. The machine is checked periodically by taking a sample of 9 drinks and computing the average content. If x falls in the interval 204<x<216, the machine is thought to be operating satisfactorily; otherwise, the owner concludes that u # 210 milliliters. Complete parts (a) and (b) below....
The amount of corn chips dispensed into a 13-ounce bag by the dispensing machine has been identified as possessing a normal distribution with a mean of 13.5 ounces and a standard deviation of 0.3 ounce. Suppose 40 bags of chips were randomly selected from this dispensing machine. Find the probability that the sample mean weight of these 40 bags exceeded 13.6 ounces.
6.) The temperature of coffee sold at the Coffee Bean Cafe follows the normal probability distribution, with a mean of 150 degrees. The standard deviation of this distribution is 5 degrees. a) What is the probability that the coffee temperature is between 150 degrees and 154 degrees? b) What is the probability that the coffee temperature is more than 164 degrees? Please show work using Excel.
1. The amount of meat on a Subbies foot-long sub follows a Normal distribution, with a mean of 8 ounces and a standard deviation of 0.6 ounce. A random sample of 25 subs is selected every day and measured. What is the probability that the mean weight will exceed 8.2 ounces? 0.0478 0.9521 0.3333 0.6667 0.12 2. Micah is cooking a pork roast for his family. He wants to be sure the pork roast has an internal temperature of at...
The lifespan of an X-ray tube used as part of an X-ray imaging machine follows a normal distribution with a mean of 7 years and a standard deviation of 1.65 years. Standard Normal Distribution Table a. Calculate the probability that a randomly-selected X-ray tube will have a lifespan of: (i) Less than 4 years P(X< 4) = 0 (ii) Greater than 9 years P(X > 9) = 0 (iii) Between 5 and 8 years P(5< X < 8) = 0...
The amount of soda a dispensing machine pours into a 12-ounce can of soda follows a normal distribution with a mean of 12.45 ounces and a standard deviation of 0.30 ounce. Each can holds a maximum of 12.75 ounces of soda. Every can that has more than 12.75 ounces of soda poured into it causes a spill and the can must go through a special cleaning process before it can be sold. What is the probability that a randomly selected can will need to...
A factory machine produces touch screens. The area of the screens produced follows a Normal distribution with mean 143 in- and standard deviation 0.5 in. (a) [2pts) Approximately what percent of screens produced are between 141.5 and 144.5 in? (b) (5pts) What percent of screens produced are between 142.5 and 143.3 in?
1. The amount of soda in a 12 ounce bottle is supposed to be 12 ounces, right? There is some variability in the amount that the machines dispense into the bottles. Let the real amount of soda in each bottle follow a Normal distribution with mean 12.2 and standard deviation 0.3. a. If the bottle can only hold 13 ounces, what is the probability the bottle will overflow? In other words, what is the probability that the machine dispenses more...
A worn, poorly set-up machine is observed to produce components whose length X follows a normal distribution with mean 14 centimeters and standard deviation 3 centimeters. Calculate the probability that the length of a component lies between 19 and 21 centimeters. Round your answer to four decimal places.