Due to random variations in the operation of an automatic coffee machine, not every cop is filled with the same amount of coffee. Assume that mean amount of coffee dispense is 9 ounces and a standard deviation is 0.6 ounce. Use the 68-95-99.7 rule to complete the following. a. What percent of the cup should have less than 9 ounces of coffee? b. What percent of the Cups should have less than 8.4 ounces of coffee? Approximately what percent of the cups should have less than 9 ounces? (Type an integer or a decimal) Approximately what percent of Cups should have 8.4 ounces. (Type an integer or a decimal)

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Due to random variations in the operation of an automatic coffee machine, not every cop is filled with the same amount of coffee. Assume that mean amount of coffee dispense is 9 ounces and a standard deviation is 0.6 ounce. Use the 68-95-99.7 rule to complete the following. a. What percent of the cup should have less than 9 ounces of coffee? b. What percent of the Cups should have less than 8.4 ounces of coffee? Approximately what percent of the cups should have less than 9 ounces? (Type an integer or a decimal) Approximately what percent of Cups should have 8.4 ounces. (Type an integer or a decimal)
Section 14.4- The Normal Distribution
The normal distribution (normal curve) is a way to study data using the information you
.ave learned about. A normal distribution is a bell shaped curve that is symmetric with
respect to the mean. A normal distribution usually applies to a whole population, not a
sample, therefore the mean is now called u (mu).
34%
34%
1158
-30
-351
2.35%
-20
-2
13.5%
-10
1159
μ
M
68%
95%
99.7%
13.5%
+10
SD
+20
2.35%
+30
SD
Transcribed Image Text:Section 14.4- The Normal Distribution The normal distribution (normal curve) is a way to study data using the information you .ave learned about. A normal distribution is a bell shaped curve that is symmetric with respect to the mean. A normal distribution usually applies to a whole population, not a sample, therefore the mean is now called u (mu). 34% 34% 1158 -30 -351 2.35% -20 -2 13.5% -10 1159 μ M 68% 95% 99.7% 13.5% +10 SD +20 2.35% +30 SD
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