I need help with my statistics homework. Its attached below. THIS IS NOT A QUIZ. I also attached the screenshots for the select answer choices of the polls and vaccine. questions. I've added all the selections there is to add. There is nothing more to add to this question. The screenshots have all of the information, and there is no reason to send it back.

Assume this year's flu vaccine has a 60% chance of being effective. If the vaccine is given to 332 randomly selected people, answer the following. a) Which is the correct wording for the random variable? Select an answer ry X- the number of randomly selected people who got the vaccine that did not get the flu ry X - the number of 332 randomly selected people who got the vaccine that did not get the flu ry X - the probability that a randomly selected person who got the vaccine did not get the flu ry X - did not get the flu ry X - all people who got the vaccine that did not get the flu d ry X - a randomly selected person who got the vaccine that did not get the flu ry X - a randomly selected person who got the vaccine Round final answer to 4 decimal places.A poll is given, showing 35% are in favor of a new building project. If 123 people are chosen at random, answer the following- a) Which is the correct wording for the random variable? Select an answer ry X = is in favor of a new building project b rv X - a randomly selected person that is in favor of a new building project ry X - all people that are in favor of a new building project C rv X - the probability that a randomly selected person is in favor of a new building project rv X - the number of 123 randomly selected people that are in favor of a new building project d rv X = a randomly selected person rv X- the number of randomly selected people that are in favor of a new building projectContinuous Random Variable Geometric Distribution Binomial Distribution Random variable Discrete Random 'v'ariable Expected value a. An experiment with a fixed number of independent trials each of which can only have two possible outcomes b. A random variable that can take on any value within a range of values c. a predicted value of a variable calculated as the sum of all possible values each multiplied by the probability of its occurrence d. a probability distribution that applies to binomial trials - until you get the 1st success e. a random variable that can take on only whole number values 1'. When the value of a variable is determined by a chance event d. The probability that one event occurs in no way affects the probability of the other event occurring e. A set of elements that represents all possible outcomes of a statistical experiment f. The probability of one event occurring influences the likelihood of the other event g. Using random numbers to represent the probability of real world situations h. The likelyhood of an event ocurring in a long series of repititions - Continuous Random Variable |Geometric Distribution |Binomial Distribution Random Variable |Discrete Random Variable - |Expected Value a. An experiment with a fixed number of independent trials - each of which can only have two possible outcomes b. A random variable that can take on any value within a range of values c. a predicted value of a variable - calculated as the sum of all possible values each multiplied by the probability of its occurrence d. A probability distribution that applies to binomial trials - until you get the ist success e. a random variable that can take on only whole number values f. When the value of a variable is determined by a chance event Submit Question- ontinuous Random Variable a jeometric Distribution C linomial Distribution d landom Variable Discrete Random Variable Expected Value a. An experiment with a fixed number of independent trials - each of which can only have two possible outcomes b. A random variable that can take on any value within a range of values c. a predicted value of a variable - calculated as the sum of all possible values each multiplied by the probability of its occurrence d. A probability distribution that applies to binomial trials - until you get the ist success e. a random variable that can take on only whole number values f. When the value of a variable is determined by a chance eventCh 14-17 Probability Terms ample Space b landom C 'robability e ndependence lependence g imulation Y Mutually Exclusive/Disjoint Law of Large Numbers a. Two events that cannot ocurr at the same time b. Individual outcomes are uncertain - but in the long run a uniform distribution of outcomes emerges c. The idea that the relative frequency of an event will converge on the probability of the event - as the number of trials increases d. The probability that one event occurs in no way affects the probability of the other event occurring e. A set of elements that represents all possible outcomes of a statistical experiment f. The probability of one event occurring influences the likelihood of the other event