6. Determine the constant that should be added to the binomial so that it be factor the trinomial. prinobst ydnodsoge a 2 x-12x trinomial? What is the constant that should be added to the binomial so that it becomes a perfect square ileenolok onoituloa dose 9qvT bb9on a6 219w etss Write the trinomial. (Do hot factor.) popnau ya aotedua yd XosdO noiteup pitnbusarvie o m Factor the result. StTA XA (Simplify your answer.) ulo2 sit a fsa n 9e E5 219WBOG h 7. Solve the quadratic equation by completing the square. itcupe ed whagoig fogon piGupe ori 2 x +8x 33 { The solution set is 20rimau aitorw (Type an integer or a simplified fraction. Use a comma to separate answers as needed.) Solve the quadratic equation by completing the square. 9 8 1ee plBithooS x2-2x 4 enenlootnsge.co dnegisre adh NCu 100G 200 The solution set is { Cea 8-- 0:0 (Type an exact answer, using radicals as needed. Use a comma to separate answers as needed.) 9. Solve the equation using the quadratic formula. vilemie) 2 X + 11x + 30 = 0 { The solution set is (Simplify your answer. Type an exact answer, using radicals and i as needed. Use integers or fractions for the expression. Use a comma to separate answers as needed.) numbers any 10. Solve the equation using the quadratic formula. etne lonkant 2 x +9x+ 5 0 The solution set is (Simplify your answer. Type an exact answer, using radicals and i as needed. Use integers or fractions for the expression. Use a comma to separate answers as needed.) numbers any
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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