Name:1. MatchingExperimentThe Addition Rule for P(A or B) for non-mutually exclusive events.а.b. P(E) = (Number of Outcomes in E/(Total Number of Outcomes in theSample Space isc. The occurrence of one of the events does not affect the probability ofthe other eventOutcomeProbabilitySample SpaceEventd. The set of all possible outcomes of a probability experimentTree Diagramprobability is the probability of an event occurring, given thatе.another event has already occurred.Theoreticalf.A subset of the sample spaceg. An action, or trial, through which specific results (counts,measurements, or responses) are obtainedEmpiricalSubjectiveK. The result of a single trial in a probability experịmentComplementi.Events A and B areevents if they cannot occur at the same timeConditionalj.Probability is based on observations obtained from experimentsK. Theof Event E is the set of all outcomes in a sample space thatIndependent Eventsare not included in event E1.Probabilities are based on intuition, educated guesses, andDependent EventsestimatesAMutually Exclusivem. The occurrence of one of the events affects the probability of theoccurrence of the other eventn. A visual display of the outcomes of a probability experiment by usingbranches that originate from a starting pointo. Mean of a discrete probability distributionP(A or B) = P(A)+P(B)-P(A and B)Random Variablep. The probability of exactly x success in n trials of a binomialexperimentDiscreteDiscrete Probability Distributionq. Variance of a discrete probability distribution0 S P(x) <1r. Population parameter of a binomial distribution for the mean.s. A type of random variable with an uncountable number of outcomes.Expected ValueStandard Deviation of a discrete probability distributiont.u. Represents a value associated with each outcome of a probabilityexperiment.Vnpq>[(x - 4)²P(x)]v. A type of random variable with finite / countable number of outcomes.w. Possible probabilities of each value of a probability distributionLists each possible value the random variable can assume, togetherwith its probability.y. Population parameter of a binomial distribution for the standarddistributionnpn!P(x) =(n - x)!xP*qn-xJ (x - 4)²P(x)]Continuousz. What you would expect to happen over thousands of trials

1) Experiment is an activity that yields outcome or result Option (g): An action or a trail through…

1. Matching a. The Addition Rule for P(A or B) for non-mutually exclusive events. b. P(E)= (Number of Outcomes in EV(Total Number of Outcomes in the Sample Space is The occurrence of one of the events does not affect the probability of the other event Experiment Outcome Probability с. Sample Space Event d. The set of all possible outcomes of a probability experiment Tree Diagram probability is the probability of an event occurring, given the е. another event has already occurred. Theoretical f. A subset of the sample space g. An action, or trial, through which specific results (counts, measurements, or responses) are obtained K. The result of a single trial in a probability experịment Empirical Subjective K Complement EuenteA R ore Quente if they cannot occur at the same tim

1. Matching a. The Addition Rule for P(A or B) for non-mutually exclusive events. b. P(E)= (Number of Outcomes in EV(Total Number of Outcomes in the Sample Space is The occurrence of one of the events does not affect the probability of the other event Experiment Outcome Probability с. Sample Space Event d. The set of all possible outcomes of a probability experiment Tree Diagram probability is the probability of an event occurring, given the е. another event has already occurred. Theoretical f. A subset of the sample space g. An action, or trial, through which specific results (counts, measurements, or responses) are obtained K. The result of a single trial in a probability experịment Empirical Subjective K Complement EuenteA R ore Quente if they cannot occur at the same tim

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

A probability experiment is conducted in which the sample space of the experiment is S= {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}, event F = {3, 6, 7}, and event G = {9, 10, 12}. Assume that each outcome is equally likely. List the outcomes in F or G. Find P(F or G) by counting the number of outcomes in F or G. Determine P(F or G) using the general addition rule. %3D List the outcomes in F or G. Choose the correct answer below. О А. For G%3 {3, 6, 7, 9, 10, 12} B. For G= {3, 6, 7} C. For G= {9, 10, 12} D. For G= {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12} Find P(F or G) by counting the number of outcomes in F or G. P(F or G) = (Type an integer or a simplified fraction.) Determine P(F or G) using the general addition rule. P(F or G) = (Type an integer or a simplified fraction.) %D
Conditional Probability outcome of one event depends on а. another Experiment b. another condition С. all answers d. another event
40
Identify the sample space of the probability experiment and determine the number of outcomes in the sample space. Draw a tree diagram. Determining a person's grade (freshman (F), sophmore (So), junior (J), senior (Se)) and gender (male (M), female (F)) Identify the sample space. O A. {FM, FF, SOM, SoF, JM, JF, SeM, SeF} B. {FM, FF, FJ, SOM, SoF, SoJ, JM, JF, JJ} C. {FM, FF, SOM, SoF, JM, JF, SeM, SeF, SoM, SoF} D. {FM, FF, SOM, SoF, JM, JF} There are Choose the correct tree diagram below. O A. outcomes in the sample space. O C. F So F J So Se M F M F M F M F M F So Se M F M F M F M F B. D. F So M F J M F F So J J M F J M F M F M F
6.1 : Answer
Assume that there are 4 white, 2 black and 3 red balls in a bowl. Two balls selected as randomly;a. If these selected balls assumed to be White and Black, what are the probabilities for all number of white and black ball pairsb. What is the general probability function for this experiment?c. What is marginal probability function for “white” balls?
6. Suppose two dice are tossed. Let X be the sum of the dots on the top faces of the two dice. Find the probability distribution of X.
S5.2. Only 2% of the items produced on a new machine are defective. Assume that two parts produced on the machine are selected randomly and you are interested in the number of defective parts.a) Draw a tree diagram showing this as a two-step experiment.b) Build the probability distribution of X.
None
Note. Get the possible values of a random variable first. A pair of fair dice is rolled. Let X denote the sum of the number of dots on the top faces. a. Constuct the probability distribution of X. b. Find P(X>9)
The probability of 6 P events when N = 10 and P = .7 is the same as 4 Q events if Q=.3 and N=10. a. False O b. True O c. Cannot say
Below is a sample space of possible outcomes for flipping a coin 3 times. Heads ННН Heads Tails ННТ Heads Heads HTH Tails Tails HTT Heads THH Heads Tails THT Tails Heads TTH Tails Tails TTT A compound event E occurs when any of the highlighted outcomes in the sample space occurs. What is the probability of E? A. 1 4 В. 3 C. 1 2 D. 3 3