1. Suppose X is normally distributed with a mean of 5 and a standard deviation of 0.4. Using the standard score formula, we find P (X ≤ X0) = P (Z ≤ 1.3). What is the value of X0?
2. What will be the value of P (X ≥ 235) given that a normal distribution has µ = 241 and d = 2?
3.The average hourly wage of workers at a fast food restaurant is P338.10/hr. Assume the wages are normally distributed with a standard deviation of P23.41. If a worker at this fast food restaurant is selected at random, what is the probability that the worker earns more than P351.10?
Solution:
1)
"\\mu=5;" - mean;
"\\sigma=0.4" - standard deviation;
Let's find "X" at "z=1.3;"
"z=\\frac{X-\\mu}{\\sigma};"
"X=z\\sigma+\\mu=1.3\\times0.4+5=5.52;" So, "z=1.3" score 0.4032. It means 40.32% of X values is less than 5.52. And when "X<5.52;" then "z<1.3". So, the result:
"X_0=5.52;"
2)
"\\mu=241;" "\\sigma=2;" "X_0=235;"
Let"s find "z" :
"z=\\frac{X_0-\\mu}{\\sigma}=\\frac{235-241}{2}=-3;" when "z=-3" the score equal 0.0013. It means 0.13% of X values is less than 235. So, "1-0.0013=0.9987;"
"P(X\\ge235)=99.87\\%."
3)
"\\mu=P338.1\/h;"
"\\sigma=P23.41;"
"X_0=351.1;"
Let's find "z:"
"z=\\frac{X_0-\\mu}{\\sigma}=\\frac{351.1-338.1}{23.41}=0.55;" when "z=0.55" the score 0.7088. It means 70.88% of workers' earn less than P351.1. So, "1-0.7088=0.2912;"
"P(X>351.1)=29.12\\%;"
Answer:
1) "X_0=5.52;"
2) "P(X\\ge235)=99.87\\%;"
3) "P(X>351.1)=29.12\\%."
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