For a random variable,
"X \\sim N(\\mu,\\sigma^2), \\ z=\\frac{X-\\mu}{\\sigma} \\sim N(0,1) \\newline"
The given weight,
"W \\sim N(60,9^2), Z=\\frac{W-60}{9} \\sim N(0,1) \\newline\nP(Z>a)=0.69"
From the normal distribution Z table,
"a=-0.50,"
"P(Z>-0.5)=P(\\frac{X-\\mu}{\\sigma}>\\frac{W-60}{9}) \\newline \\because \nW=-0.5 \\cdot 9+60=55.5"
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