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Zepler [3.9K]
2 years ago
8

A can of Pepsi is supposed to contain, on the average, 12 ounces of soda with a standard deviation of 0.3 ounces. Suspecting fra

ud, you take a random sample of 40 cans and measure the amount of Pepsi in each. Your measurements show that the 40 cans had a mean of11.9 ounces. What is the probability of a random sample of 40 cans having a mean of 11.9 ounces of soda or less
Mathematics
1 answer:
pantera1 [17]2 years ago
3 0

The probability of a random sample of 40 cans having a mean of 11.9 ounces of soda or less is 1.8%

<h3>Z score</h3>

Z score is used to determine by how many standard deviations the raw score is above or below the mean. It is given by:

z=\frac{x-\mu}{\sigma/\sqrt{n} }

Where x is raw score, μ is mean, σ is standard deviation and n is sample size.

Given that:

σ = 0.3, n = 40, μ = 12, hence for x <  11.9:

z=\frac{11.9-12}{0.3/\sqrt{40} } =-2.1

From the normal table, P(z < -2.1) = 1.8%

The probability of a random sample of 40 cans having a mean of 11.9 ounces of soda or less is 1.8%

Find out more on Z score at: brainly.com/question/25638875

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Haleigh split 4/9 of a gallon of juice into 8 cups. How much juice was in each cup?
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━━━━━━━☆☆━━━━━━━

▹ Answer

<em>1/18 of a gallon of juice in each cup.</em>

▹ Step-by-Step Explanation

Since we have 4/9 of a gallon of juice for 8 cups, we will divide to find the amount of juice in each cup.

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Our final answer will be 1/18 of a gallon of juice in each cup.

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