"\\mu=1150"
"\\sigma=175"
"P(X>1000) = 1-P(X<1000)=1-P(Z<\\frac{1000-\\mu}{\\sigma})="
"=1-P(Z<\\frac{1000-1150}{175})=1-P(Z<-0.86)=1-0.1949=0.8051"
Answer: the probability that a randomly chosen light bulb will have a life time of more than 1000 hours is 0.8
"P(1000<X<1500)=P(1000<X<1500)="
"=P(\\frac{1000-\\mu}{\\sigma}<Z<\\frac{1500-\\mu}{\\sigma})="
"=P(\\frac{1000-1150}{175}<Z<\\frac{1500-1150}{175})=P(-0.86<Z<2)="
"=P(Z<2)-P(Z<-0.86)=0.9772-0.1949=0.7823"
Answer: 78.23% of the light bulbs would be expected to last between 1000 and 1500
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Dear JG, please use the panel for submitting new questions.
A survey was conducted among some first graders and one of the questions was how much money they spent on their school cafeteria. The random variable x represents the amount of money spent on a particular day with the corresponding probability P(X). x 1 3 5 10 20 P(X) 0.16 ? 0.22 0.22 0.08 a) What is the probability that a 1st grader spends exactly 3 dollars? b) Calculate the expected value, variance and standard deviation of the random variable X?
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