Respuesta :
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 less than 0.23 ounces.
- 2.5% of K-cups are considered weak.
- 36 will weigh between 0.23 and 0.38 ounces.
- 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 within 1 standard deviation of the mean.
Approximately 95% of the measures are within 2 standard deviations of the mean.
Approximately 99.7% of the measures are within 3 standard deviations of the mean.
In this problem:
- The mean is of 0.28 ounces.
- The standard deviation is of 0.05 ounces.
First, by the Empirical Rule, 95% of K-cups can be expected to fall within 2 Standard Deviations of the mean.
0.33 ounces is one standard deviation above the mean.
- 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 less than 0.23 ounces. Out of 128:
[tex]0.16(128) = 20[/tex]
20 of them will weight less than 0.23 ounces.
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 between 0.23 and 0.38 is:
[tex]p = 0.68(0.50) + 0.95(0.5) = 0.815[/tex]
Out of 44:
[tex]0.815(44) = 36[/tex]
36 will weigh between 0.23 and 0.38 ounces.
68% are within 1 standard deviation of the mean.
Out of 44:
[tex]0.68(44) = 30[/tex]
30 of the Sam's Club box of K-cups are ideal.
A similar problem is given at https://brainly.com/question/13503878