An urn contains 3 red balls and 2 blue balls. A ball is drawn. If the ball is red, it is kept out of the urn and a second ball is drawn from the urn. If the ball is blue, then it is put back in the urn and a red ball is added to the urn. Then a second ball is drawn from the urn. Find the probability (i) that both balls drawn are red. (ii) that the second drawn ball is blue. (iii) that the first drawn ball was blue, if the second drawn ball is red.

Q: 1 4 1 -1 1 SIf A = 4 1 2 and B = -2 1 then -4 2 3 -4 4 A + B =

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Q: (b) A king and a club P(king and club) = %3D

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Q: Can you please give more of an explanation on how you got these answers? Can you show the steps on…

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Q: 1. Normalıze 2s orbital, ½:(1) =| and then find the average value of the e 1 potential energy V(r) =…

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Q: Can you solve part D and E as well.

A: We have to state whether d, e are true or false with justification.

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A: We will solve the problem.

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Q: could you maybe elaborate a bit more and how you find these answers? especially with b?

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Q: Could you provide more detailed proof for each part?

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Q: Problem 4 (6.EE.A.3) Which expression is equivalent to 5(4x+ 3)-2x? A. 18x+15 B. 18x +3 C 7x+8 D.…

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Q: 2. (14 points) Let X and Y have the following joint probability density function(pdf): if 0 < x < 1,…

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Q: please answer part d as well. i dont see the solution anywhere here.

A: According to the given information in this question We need to answer part d

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Q: 6. 1 [1 3 5) 4 -3 2 12 -4 -2 4.

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Q: 11/12-3/8?

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Q: Hello, Can you explain problem c) I do not understand the solution.

A: From the obtained results, the test statistic is 4.41. The test is two-tailed.

Q: x12 3 4 5 67 y 148 12 ? ? ?

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Types of Bias

Statistics is the study of data collection, organization, analysis, interpretation, and presentation. Statistical bias is a characteristic of a statistical technique or its findings in which the expected value deviates from the actual root quantitative parameter being estimated. According to the actual definition of bias, it refers to the tendency of a statistic to overestimate or underestimate a parameter.