duration of a lunch break for one employee at a manufacturing company follows a normal distribution with mean μ minutes and standard deviation 5 minutes. The probability that a lunch break lasts for more than 52 minutes is 0.25. Find the value of μ.
A. 55.37
B. 46.25
C. 57.75
D. 48.63
P[x>52]=0.25P{x−μb>(52−μ)b}=0.25\begin{aligned} &P[x>52]=0.25 \\ &P\left\{\frac{x-\mu}{b}>\frac{(52-\mu)}{b}\right\}=0.25 \\ \end{aligned}P[x>52]=0.25P{bx−μ>b(52−μ)}=0.25
Use the Normal distribution approximation
z=x−μbp{z2<52−μ5}=1−0.25p{z<52−μ5}=0.7552−μ5=0.68→ from z-table 52−μ=5×0.6852−μ=3.4μ=52.3.4μ=48.6\begin{aligned} z &=\frac{x-\mu}{b} \\ p\left\{z_{2}<\frac{52-\mu}{5}\right\} &=1-0.25 \\ p\left\{z<\frac{52-\mu}{5}\right\} &=0.75 \\ \frac{52-\mu}{5} &=0.68 \quad \rightarrow \text { from z-table } \\ 52-\mu &=5 \times 0.68 \\ 52-\mu &=3.4 \\ \mu &=52.3 .4 \\ \mu &=48.6 \end{aligned}zp{z2<552−μ}p{z<552−μ}552−μ52−μ52−μμμ=bx−μ=1−0.25=0.75=0.68→ from z-table =5×0.68=3.4=52.3.4=48.6
Option (D) is correct
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