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    Probability

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    Statistics Control charts, probabilities

    This is for Quality Control Consider the xbar chart for the piston-ring example as follows, let ring diameter be normally distributed, and the sample size is n = 5. a) Find the two-sigma control limits for this chart. b) Suppose it was suggested that the two-sigma limits be used instead of the typical three-sigma limits.

    Normal Random Variable

    Please label your answers in bold and away from any calculations.. Note: I cannot read .xls files. I could only view .doc files. Let be a standard normal random variable. Calculate the following probabilities. Round your responses to at least three decimal places. a. P {Z > 2.10} = b. P {Z is less than or equal to 1.93}

    Mutually exclusive and independant events

    Please see the attachment for the question. Let B and C be two events such that P(B) = 0.50 and P(C) = 0.05. a. Determine P(B U C), given that B and C are mutually exclusive. b. Determine P(B U C), given that B and C are independent.

    Probability

    Suppose that A and B are independent events such that P(A)=0.30 and P(B)=0.40. Find the following probabilities... (see attachment for full question)

    Probability distribution function

    Please see the attached file for full problem description with all proper "X" symbols. --- Can you show me how to complete this kind of problem? Suppose that the genders of the three children of a certain family are soon to be revealed. Outcomes are thus triples of "girls" ( ) and "boys" ( ), which we write , , etc. For ea

    Normal distribution, probabilities (3 problems)

    Problem 1 We know the IQ of people is normally distributed with mean 120 and standard deviation (SD) of 25. Calculate the probability that an adult will have a ) IQ less than 100 b) IQ greater than 150 c) IQ between 100 and 150 d) Any person with a score over 200 is considered a genius. In a population of 10000

    Explanation of odds ratio in a study of smoking.

    Those who have quit smoking often return to the habit. The authors of a paper concluded that forbidding smoking in the smoker's residence was a significant predictor of the ability to abstain from smoking. They collected data, calculated statistics, and presented the following as support for their conclusion: OR=1.95 C.I.

    PROBABILTY

    PROBLEM 4 Out of 11 people applying for an assembly job, 3 cannot do the work. Suppose two persons will be hired. (a) How many distinct pairs are possible? (b) In how many of the pairs will 0 or 1 people not be able to do the work? (c) If two persons are chosen in a random manner, what is the probability that neither will b

    Finding the probability of observing an event.

    PROBLEM 3 Items coming off a production line are categorized as good (G), slightly blemished (B), and defective (D), and the percentages are 80%, 15% and 5%, respectively. Suppose that two items will be randomly selected for inspection and the selections are independent. (a) List all outcomes and assign probabilities. (b) Fin

    PROBABILTY

    PROBLEM 1 PART ONE In a shipment of 15 room air conditioners, there are 3 with defective thermostats. Two air conditioners will be selected at random and inspected one after another. Find the probability that (a) The first is defective. (b) The first is defective and the second is good. (c) Both are defective. (d) The sec

    PROBABILTY

    Records of student patients at a dentist's office concerning fear of visiting the dentist suggest the following proportions: (see attachment for full question).

    What is the probability that an assembly will have exactly one defect? What is the probability that it contains one or more nonconformances? How many would have a tensile strength in excess of 48 lb? What fraction of these batteries would be expected to survive beyond 1000 days?

    2-17 A mechatornic assembly is subjected to a final functional test. Suppose that defects occur at random in these assemblies, and that defects occur according to a Poisson distribution with parameter = 0.02 a) What is the probability that an assembly will have exactly one defect? b) What is the probability that an assemb

    PROBABILTY

    THE PROBLEM IS ATTACHED AS MICROSOFT WORD.

    Probability of Two Events

    For two events A and B, the following probabilities are specified. P (A) = 0.52 P (B) = 0.36 P (AB) =0.20 (a) Enter these probabilities in the following table, See attached file for full problem description.

    Probability

    Suppose you are eating at a pizza parlor with two friends. You have agreed to the following rule about who will pay the bill: Each person will toss a coin. The person who gets a result that is different from the other two will pay the bill. If all three tosses yield the same result, the bill will be shared by all. Find the proba

    Simulation Model for Meeting Reservations

    Dr. Sarah Benson is an ophthalmologist who, in addition to prescribing glasses and contact lenses, performs optical laser surgery to correct nearsightedness. This surgery is fairly easy and inexpensive to perform. Thus, it represents a potential gold mine for her practice. To inform the public about this procedure, Dr. Benson ad

    Standard Normal Random Variables

    Let X1 and X2 be two independent standard normal random variables. Let Y1 = X1+X2 and Y2=X1/X2. a) Find the joint density of Y1 and Y2 b) Find the marginal density of Y1 and Y2 (The distribution of Y2 is known as the Cauchy distribution).

    Random Independent Exponential Variables

    Suppose X1 and X2 are independent exponential (λ) random variables. Let Y1=X1-X2 and Y2=X2. a) Find the joint density of Y1 and Y2. b) Find the marginal density of Y1.

    Random Variable Functions

    Suppose X and Y are independent chi-square random variables with m and n degrees of freedom respectively. Let U = (X/m) / (Y/n) a) Find the density of U (The distribution of U is called the F-Distribution with m and n degrees of freedom). b) Find the density of V = U / (1+U)

    Joint Probabilities Variables

    Let Z be a standard normal random variable and let V have a chi-square distribution with n-degrees of freedom. Assume that Z and V are independent and let T = Z / √ (V/n) Find the density of T (The distribution of T is known as the t-distribution with n degrees of freedom.)

    Probability in Various Situations

    Find the probability for the various situations 1. 5 individuals enter the ground floor of an elevator of a building which has 10 floors(9 floors above the ground floor). Assuming that each of the 5 individuals is going to depart the elevator on one of the 9 floors above the ground floor, (a) what is the probability that all

    Decision tree? Expected value?

    To answer this question, I am supposed to utilize one or more of the following techniques. -Confidence intervals and hypothesis testing -Decision trees (and their use in solving managerial problems), -Critical fractile analysis (and its use in determining optimal demand levels), -Analysis of variance/ANOVA (and its use in

    New Source, Inc. - Probability

    NewSource Inc. uses natural gas in its production-processing operations. Neighboring companies in its upstate Ohio area have successfully drilled for gas on their premises, and NewSource is considering following suit. Their initial expenditure would be drilling, which would cost $80,000. If they strike gas, they would have to

    Probability of Events: Sum Rule

    Our psychology department received a new statistics text for review. Prof. Smart in his review provided an interesting table of corrections. Type: Alterations: 20%, Spelling 50%, Spelling and alterations: 10%. Assuming that spelling and alterations are the only possible types of corrections, calculate the probability of spot

    probabilities of events

    1. What are the steps I need to calculate probability of events occurring? 2. Could you apply these steps to the following example: A fair die is tossed, and the up face is observed. If the face is even, you win $5. Otherwise, you lose $5? What is the probability?