mpute the discriminant. Then determine the number and type of solutions of the given equation. 2 X x4x-3=0 What is the discriminant? bur (Simplify your answer.) Choose the sentence that describes the number and type of solutions of the quadratic equation. A. There is one real solution. en B. There are two unequal real solutions. 65s 0ie C. There are an infinite number of real solutions. bsqanp D. There are two imaginary solutions. 9I8 JAL 10/11 1B tn pe s edd to 12. Compute the discriminant. Then determine the number and type of solutions of the given equation. 2x2 - 7x + 4 0 www What is the discriminant? (Simplify your answer.) Choose the sentence that describes the number and type of solutions of the quadratic equation. A. There are two unequal real solutions. B. There are two imaginary solutions. C. There is one real solution. O D. There are an infinite number of real solutions. choice. your 13. Solve the equation by the method of 2 2x 7x 15 The solution set is (Type an exact answer, using radicals as needed. Use a comma to separate answers as needed.) choice. your 14. Solve the equation by the method of 2 6x =240 The solution set is (Simplify your answer. Type an exact answer, using radicals and i as needed. Use integers or fractions for any n the expression. Use a comma to separate answers as needed.) 15. Find all values of x satisfying the given conditions. 2 -2x+3x and y= -2 У- The solution set is { (Type an exact answer, using radicals as needed. Use a comma to separate answers as needed.)
Addition Rule of Probability
It simply refers to the likelihood of an event taking place whenever the occurrence of an event is uncertain. The probability of a single event can be calculated by dividing the number of successful trials of that event by the total number of trials.
Expected Value
When a large number of trials are performed for any random variable ‘X’, the predicted result is most likely the mean of all the outcomes for the random variable and it is known as expected value also known as expectation. The expected value, also known as the expectation, is denoted by: E(X).
Probability Distributions
Understanding probability is necessary to know the probability distributions. In statistics, probability is how the uncertainty of an event is measured. This event can be anything. The most common examples include tossing a coin, rolling a die, or choosing a card. Each of these events has multiple possibilities. Every such possibility is measured with the help of probability. To be more precise, the probability is used for calculating the occurrence of events that may or may not happen. Probability does not give sure results. Unless the probability of any event is 1, the different outcomes may or may not happen in real life, regardless of how less or how more their probability is.
Basic Probability
The simple definition of probability it is a chance of the occurrence of an event. It is defined in numerical form and the probability value is between 0 to 1. The probability value 0 indicates that there is no chance of that event occurring and the probability value 1 indicates that the event will occur. Sum of the probability value must be 1. The probability value is never a negative number. If it happens, then recheck the calculation.
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