Mastering Statistics: Calculating Fill Volumes and Probability Distributions

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The discussion focuses on calculating fill volumes and probability distributions related to intravenous fluid bags filled by an automated machine. Key questions include determining the standard deviation of the average fill volume for 20 bags, calculating the probability that this average is below a specific volume, and finding the necessary mean fill volume for a certain probability threshold. The second question involves deriving the cumulative distribution function, mean, median, variance, and the probability of a random variable exceeding its mean based on a given probability density function. Participants share their approaches to solving these problems, particularly emphasizing the use of standard deviation and z-scores. Overall, the thread seeks guidance on mastering these statistical concepts.
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To be honest I have no real idea how to do this. I know of the probability density function, and the cumulative probability function, but using them is another difficulty I'm trying to overcome.

My questions are,

Intravenous fluid bags are filled by an automated filling machine. Assume that the
fill volumes of the bags are independent, normal random variables with a standard
deviation of 0.08 fluid ounces.

(a) What is the standard deviation of the average fill volume of 20 bags?
(b) If the mean fill volume of the machine is 6.16 fluid ounces, what is the
probability that the average fill volume of 20 bags is below 5.95 °uid ounces?
(c) What should the mean fill volume equal in order that the probability that the
average fill volume of 20 bags is below 6 ounces is 0.001?

Second question is,

A continuous random variable X has the probability density function f(x) given
below.
0 x < or equal to 0
f(x) = 4x3 0 < x < or equal to 1
0 x > 1

(a) What is the cumulative distribution function of the random variable X?
(b) What are the mean and median of the random variable X?
(c) What is the variance of the random variable X?
(d) What is the probability that the random variable takes a value greater than
its mean?

Any help or tips so I can figure these out would be greatly appreciated. Thanks,
 
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Well, what formulas and equations do you know? In particular, what is the standard deviation of an average of n trials from a normal distribution?

What have you tried on these?
 
I believe I just solved all of the first question. For Part A I used the equation of the standard deviation divided by the square root of the number or trials, so 0.08 / sqrt of 20.
Then for Part B I used the z score formula of (X-μ)/σ, then used a z-table I found online. For Part C I did a similar thing but basically used the equation and table in reverse.

Question 2 is still a bit of a mystery for now though,
 
I picked up this problem from the Schaum's series book titled "College Mathematics" by Ayres/Schmidt. It is a solved problem in the book. But what surprised me was that the solution to this problem was given in one line without any explanation. I could, therefore, not understand how the given one-line solution was reached. The one-line solution in the book says: The equation is ##x \cos{\omega} +y \sin{\omega} - 5 = 0##, ##\omega## being the parameter. From my side, the only thing I could...

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