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Vanyuwa [196]
2 years ago
9

The Foldgers Black Silk K-cup coffee pods weigh on average .28 ounces with a standard deviation of .05 ounces. Answer each of th

e questions.
68%, 2.5%, 81.5%, 95%, 41-42, 20-21, 16%, 84%, 121-122, 5%, 87-88, 64, 35-36
What percentage of K-cups can be expected to fall within 2 Standard Deviations of the mean?

What is the probability that a K-cup will have more than .33 ounces?

Sam's club sells K-cups in a box of 128. How many of them will weigh less than .23 ounces?

K-cups that are more than 2 SD below the mean are considered to be to "weak". What percentage of K-cup are considered to "weak"

In a standard box of 44 k-cups, how many will weigh between .23 and .38 ounces

The ideal weight for K-cups are within 1 SD of the mean, how many of the Sam's Club box of K-cups are ideal?
Mathematics
1 answer:
iragen [17]2 years ago
7 0

Using the Empirical Rule, it is found that:

  • 95% of K-cups can be expected to fall within 2 Standard Deviations of the mean.
  • 0.16 = 16% probability that a K-cup will have more than .33 ounces.
  • 20 of them will weight <u>less than 0.23 ounces.</u>
  • 2.5% of K-cups are considered weak.
  • 36 will weigh <u>between 0.23 and 0.38 ounces</u>.
  • 30 of the Sam's Club box of K-cups are ideal.

The Empirical Rule states that, for a normally distributed random variable:

Approximately 68% of the measures are <u>within 1 standard deviation</u> of the mean.

Approximately 95% of the measures are <u>within 2 standard deviation</u>s of the mean.

Approximately 99.7% of the measures are <u>within 3 standard deviations</u> of the mean.

In this problem:

  • The mean is of 0.28 ounces.
  • The standard deviation is of 0.05 ounces.

First, by the <u>Empirical Rule</u>, 95% of K-cups can be expected to fall within 2 Standard Deviations of the mean.

0.33 ounces is <u>one standard deviation above the mean</u>.

  • 68% of the measures are between 0.23 and 0.33 ounces.
  • The normal distribution is symmetric, which means that of the remaining 100 - 68 = 32%, 16% are less than 0.23 ounces and 16% are more than 0.33 ounces, thus:

0.16 = 16% probability that a K-cup will have more than .33 ounces.

16% weigh <u>less than 0.23 ounces.</u> Out of 128:

0.16(128) = 20

20 of them will weight <u>less than 0.23 ounces.</u>

5% of the measures are more than 2 SD from the mean. Due to the symmetry of the normal distribution, 2.5% are more than 2 SD below the mean, thus, 2.5% of K-cups are considered weak.

  • 0.23 is one standard deviation below the mean.
  • 0.38 is two standard deviations above the mean.
  • Of the 50% below the mean, 68% are above 0.23.
  • Of the 50% above the mean, 95% are below 0.38.

Thus, the proportion <u>between 0.23 and 0.38</u> is:

p = 0.68(0.50) + 0.95(0.5) = 0.815

Out of 44:

0.815(44) = 36

36 will weigh <u>between 0.23 and 0.38 ounces</u>.

68% are within 1 standard deviation of the mean.

Out of 44:

0.68(44) = 30

30 of the Sam's Club box of K-cups are ideal.

A similar problem is given at brainly.com/question/13503878

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