The belief that if an event happens less frequently than normal during the past it is...

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The belief that if an event happens less frequently than normal during the past it is more likely to happen in the future is an example of . the law of large numbers empirical probability • • The expected value of a discrete probability distribution is equal to the mean of the distribution. XXX)-EXUA ETX)-xip x2p23/2 all the above It is stated that the mean of a probability distribution is a weighted average. What is it weighted by? the range of possible values probabilities associated with the outcomes the moving average of the data probability of success vs. failure . Interpret P(x)037 . . . the gambler's fallacy the non-independence of events . The probability of obtaining the outcome denoted by x is 3.7% Determine whether the distribution below represents a probability distribution. P(x) . . . It is just a formula. x = .037 P-037/x . X 1 2 3 4 5 1.2 1.2 1.4 1.1 A listing of the possible outcomes of an experiment and their corresponding probability is called Random Variable 1.1 Is a probability distribution; the probabilities sum to 1. Not a probability distribution, a probability value cannot be negative. Not a probability distribution; a probability cannot be greater than one. Contingency table Probability Distribution Frequency Distribution Determine the probability distribution's missing value. The probability that a tutor will see 0, 1, 2, 3, or 4 students 1 .07 . . . 36 -.82 .18 .82 A random variable is defined by a rule that assigns a number . . . . . • • . J'(x) X . • • 0 event Jetter probability . .57 A random variable differs from other variables in that it is subject to variations due to chance. it can take on a set of possible different values it is associated with probabilities all of the above Which of the following is NOT a property of a random variable? The sum of the probabilities is equal to 1. A random variable cannot be negative. A random variable represents numerical outcomes for different situations or events. A random variable can he discrete or continuous. 2 .16 Which of the following variables would be considered a discrete random variable? The duration of the lunch period at school. The number of races a race car driver competes in during a given year. The average speed of a race car during a given race. • The time it takes a student to finish his/her lunch. to every outcome in a sample space. State whether the variable is discrete or continuous. The speed of a car on a Phoenix freeway during rush hour traffic. . discrete . continuous 3 02 4 ? The belief that if an event happens less frequently than normal during the past it is more likely to happen in the future is an example of . the law of large numbers empirical probability • • The expected value of a discrete probability distribution is equal to the mean of the distribution. XXX)-EXUA ETX)-xip x2p23/2 all the above It is stated that the mean of a probability distribution is a weighted average. What is it weighted by? the range of possible values probabilities associated with the outcomes the moving average of the data probability of success vs. failure . Interpret P(x)037 . . . the gambler's fallacy the non-independence of events . The probability of obtaining the outcome denoted by x is 3.7% Determine whether the distribution below represents a probability distribution. P(x) . . . It is just a formula. x = .037 P-037/x . X 1 2 3 4 5 1.2 1.2 1.4 1.1 A listing of the possible outcomes of an experiment and their corresponding probability is called Random Variable 1.1 Is a probability distribution; the probabilities sum to 1. Not a probability distribution, a probability value cannot be negative. Not a probability distribution; a probability cannot be greater than one. Contingency table Probability Distribution Frequency Distribution Determine the probability distribution's missing value. The probability that a tutor will see 0, 1, 2, 3, or 4 students 1 .07 . . . 36 -.82 .18 .82 A random variable is defined by a rule that assigns a number . . . . . • • . J'(x) X . • • 0 event Jetter probability . .57 A random variable differs from other variables in that it is subject to variations due to chance. it can take on a set of possible different values it is associated with probabilities all of the above Which of the following is NOT a property of a random variable? The sum of the probabilities is equal to 1. A random variable cannot be negative. A random variable represents numerical outcomes for different situations or events. A random variable can he discrete or continuous. 2 .16 Which of the following variables would be considered a discrete random variable? The duration of the lunch period at school. The number of races a race car driver competes in during a given year. The average speed of a race car during a given race. • The time it takes a student to finish his/her lunch. to every outcome in a sample space. State whether the variable is discrete or continuous. The speed of a car on a Phoenix freeway during rush hour traffic. . discrete . continuous 3 02 4 ?

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The missing value in the probability distribution is 82 as the sum of probabilities must be ... View the full answer