At Westonci.ca, we provide clear, reliable answers to all your questions. Join our vibrant community and get the solutions you need. Experience the ease of finding accurate answers to your questions from a knowledgeable community of professionals. Explore comprehensive solutions to your questions from a wide range of professionals on our user-friendly platform.

or
Soda is often packaged in cans that are supposed to contain 12 ounces. However, no
manufacturing plant is perfect and so there might be slight errors. For example, Sam's Splendid
Soda company has verified that the amount of soda in their cans has a normal distribution with
a mean of 12 ounces and a standard deviation of 0.7 ounces. Although this is made up, it's not
completely divorced from the truth.
1. You open a can of Sam's and realize there are only 11.6 oz in the can. What is the
probability that a single can will contain 11.6 ounces or less of soda? (2 points)
2. Troubled by the under-filled soda, you decide to empty out all the cans in a six pack of Sam's
Soda and find that the mean amount of soda in all the cans is 11.6 ounces. What is the
probability that six pack will have a mean of 11.6 ounces or less of soda? (2 points)
3. Not satisfied with the information you figured out in #2, you take a case (36 cans) and
empty out all the cans of Sam's Soda and find that the mean amount of soda in all the cans is
11.6 ounces. What is the probability that case will have a mean of 11.6 ounces or less of soda?
(2 points)
4. Draw three normal distributions on the same set of axes or with the same scale to show
how the probabilities decrease from one can to six cans to 36 cans even though we're looking
at "less than 11.6 ounces." (2 points)
5. Use the graphs and your own understanding of the Central Limit Theorem to write a few
sentences explaining what is happening here. (2)


Sagot :

The probability that a single can will contain 11.6 ounces or less of soda is 0.2843

Probability that a can contains 11.6 ounces or less

The given parameters are:

x = 11.6

Mean = 12

Standard deviation = 0.7

Calculate the z value using:

[tex]z = \frac{x - \bar x}{\sigma}[/tex]

This gives

[tex]z = \frac{11.6-12}{0.7}[/tex]

z = -0.57

The probability is then calculated as:

P(x ≤ 11.6) = P(z ≤ -0.57)

Using the z table of probabilities, we have:

P(x ≤ 11.6) = 0.2843

Probability that a pack contains 11.6 ounces or less

In (a), the probability that a can contains 11.6 ounces or less is 0.2843

The probability that all cans in a pack contains 11.6 ounces or less is

P(6) = 0.2843^6

P(6) = 0.00053

Probability that a case contains 11.6 ounces or less

In (a), the probability that a can contains 11.6 ounces or less is 0.2843

The probability that all cans in a case contains 11.6 ounces or less is

P(36) = 0.2843^36

P(36) ≈ 0

Draw three normal distributions

See attachment for the normal distributions

The happening on the graph

The summary of the graph is that, as the sample size increases the probability decreases

Read more about probability at:

https://brainly.com/question/11234923

#SPJ1

View image MrRoyal
Visit us again for up-to-date and reliable answers. We're always ready to assist you with your informational needs. Thanks for using our service. We're always here to provide accurate and up-to-date answers to all your queries. Find reliable answers at Westonci.ca. Visit us again for the latest updates and expert advice.