The Acme Company manufactures widgets. The distribution of widget weights is bell-shaped. The widget weights have a mean of 61 ounces and a standard deviation of 4 ounces.
Use the Standard Deviation Rule, also known as the Empirical Rule (see image below). Do not use normalcdf on your calculator.
Suggestion: sketch the distribution in order to answer these questions.
a) 68% of the widget weights lie between and
b) What percentage of the widget weights lie between 49 and 65 ounces? %
c) What percentage of the widget weights lie below 69 ? %
Given:
X: Widget weights
Mean = μ = 61
Standard deviation = σ = 4
Empirical rule tells us that within one standard deviation from mean 68% of data lie, within two standard deviations from mean 95% of data lie, and within 3 standard deviations from mean 99.7% of data lie as shown in figure.
34% 34% 13.5% 2.4% 13.5% 2.4% μ+σ μ+ 2σ μ+3 μ-3σ μ - 2σ μ- σ 68% 95% 99.7%
Therefore, 1 standard deviation, L-61-4= 57 La614= 65 That is P(57< X<65)= 0.68=68% 2 standard deviation, -20 61-2x4 = 53 +20 612x 4 69 That is, P(53X<69) =0.95-95% 3 standard deviation, -30 61-3x4= 49 30 61+3x 4 = 73 That is, P/49 X<73) -0.997=99.7%
a)68% of the widget.
So, we can say 68% of the data lie...
-a61-4 57 a61 4 = 65 Therefore, we can say 68% of the widget lie between 57 and 65 65 57 34% 34% /3.5% 2.4% 13.5% 2.4% μμ+σ μ+2σ μ+ 3σ μ-36 μ- 2σμ-σ 68% 95% 99.7%
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