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Sugar packaged by a certain machine has a mean weight of \(5 \mathrm{lb}\) and a standard deviation of \(0.02 \mathrm{lb}\). For what values of \(c\) can the manufacturer of the machinery claim that the sugar packaged by this machine has a weight between \(5-c\) and \(5+c \mathrm{lb}\) with probability at least \(96 \%\) ?

Short Answer

Expert verified
The manufacturer can claim that the sugar packaged by this machine has a weight between 4.959 lb and 5.041 lb with a probability of at least 96%.

Step by step solution

01

Identify the normal distribution function and parameters

We know that the given problem follows a normal distribution because the weights of the sugar packages are likely to follow a bell-shaped curve with a mean (\(\mu\)) and a standard deviation (\(\sigma\)). In this case, \(\mu = 5 \mathrm{lb}\) and \(\sigma = 0.02 \mathrm{lb}\). The normal distribution function is: \(f(x) = \frac{1}{\sigma\sqrt{2\pi}}e^{-\frac{(x-\mu)^2}{2\sigma^2}}\)
02

Identify the relevant probability

We need to find the values of 'c' for which the probability of the sugar packaged by the machine has a weight between 5-c and 5+c lb with a probability of at least 96%: \(P(5-c \leq x \leq 5+c) \geq 0.96\)
03

Standardize the normal distribution

In order to solve this problem, we need to standardize this normal distribution by converting it to a standard normal distribution (z-distribution) with \(\mu = 0\) and \(\sigma = 1\). We do this by using the z-score formula: \(z = \frac{x - \mu}{\sigma}\) Let's apply this formula to our bounds: \(z_{lower} = \frac{5 - c - 5}{0.02}\) \(z_{upper} = \frac{5 + c - 5}{0.02}\)
04

Use probability statement and z-table

Now, using the z-scores we calculated above, we can express the probability as follows: \(P(z_{lower} \leq z \leq z_{upper}) \geq 0.96\) To find the values of \(z_{lower}\) and \(z_{upper}\) that satisfy this probability, we can consult a standard normal (z) probability table (or use calculator software like Wolfram Alpha). Looking up the z-score for a probability of \(0.96 + \frac{0.04}{2} = 0.98\), we find that: \(z_{lower} = -2.05\) \(z_{upper} = 2.05\)
05

Solve for the values of "c"

Now that we have the z-scores, we can solve for the values of 'c' by substituting back to the z-score formula: \(z_{lower} = \frac{5 - c - 5}{0.02} = -2.05\) \(z_{upper} = \frac{5 + c - 5}{0.02} = 2.05\) Solving for 'c' in both equations, we get: \(c = 2.05 \times 0.02 = 0.041\) The manufacturer can claim that the sugar packaged by this machine has a weight between \(5-0.041 = 4.959\) lb and \(5 + 0.041 = 5.041\) lb with a probability of at least 96%.

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