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Probability: Working with the standard distribution curve.A company installs 5000 light bulbs, each with an average life of 500 hours and a standard deviation of 100 hours, and a distribution approximated by a normal curve. Find the percentage of bulbs that can be expected to last the period of time between 540 hours and 780 hours? Less than 690 hours?
Description of Find the probability. A drug tester claims that a drug cures a rare skin disease 78% of the time. The claim is checked by testing the drug on 100 patients
Calculate an adjusted exponentially smoothed forecast
At the 0.01 level of significance, test the claim that the mean reading times lour the lour age groups are equal.
Discrete Distributions : Bernoulli, Binomial, Discrete Uniform, Geometric Negative Binomial or Poisson, My main problem is deciding with discrete distribution to use: BERNOULLI, BINOMIAL, DISCRETE UNIFORM, GEOMETRIC NEGATIVE BINOMIAL, OR POISSON.
Suppose that each time that you buy a car, you choose between Ford and General Motors. Suppose that each time after the first, you stay with the same company with probability 2/3 and switch with probability 1/3
The following random sample was selected from a normal distribution: 10, 12, 12, 15, 13, 15 & 16.Test the hypothesis that the true mean exceeds 12. [Use α =.01]
What is the probability of drawing a red ball on the second draw if the first one is not put back in the box after it is drawn?
Probability : Percentage of Defective Chips and Normal Distribution, A student needs 12 chips of a certain type to build a circuit. It is known that 5% of these chips are defective.
Find the sum/difference as a product of sine’s or cosines.
Stating the null & alternate hypotheses
Test at the 5% level of significance.
Constraints, Decision variables, Objective functions
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