DEV JAINNew Member An Analyst concludes from an empirical study that the number of children, X, per family in a certain region has the following distribution: Number of children, x 0 1 2 3 More than 3 Probability px = P[X = x] 0.05 0.42 0.4 0.1 0.03 When asked for the expected number of children per family, the Analyst claims that an exact value cannot be calculated for the expectation, but that a lower limit can be provided. (i) Explain whether the Analyst is right. [3] (ii) Calculate a lower limit for E[X], the expected number of children per family in this region. [3] can we calculate the lower limit of mean by making. A truncated data tilll 3 children and removing P(X>3) and dividing the remaining
Truncating the distribution loses valuable information. So keep the more than 3 but treat them as 3. This will give a lower limit.
and please can you clear my one doubt that there was a question in cs1 paper a of Bayes theorem of a coin of 7 marks in which I mistakenly calculated p(a|b1) wrong by taking 1-p = 0.85 instead of 0.65 , so my calculation got wrong , but correctly calculated P(A|b2) and the whole steps after , but due to calculation error my ans different , how much should I will get in the question , this was of 7 marks
and please can you clear my one doubt that there was a question in cs1 paper a of Bayes theorem of a coin of 7 marks in which I mistakenly calculated p(a|b1) wrong by taking 1-p = 0.85 instead of 0.65 , so my calculation got wrong , but correctly calculated P(A|b2) and the whole steps after , but due to calculation error my ans different , how much should I will get in the question , this was of 7 marks
I'm not sure what benefit my opinion is, when it's the examiner's opinion that counts! When you get your results back later this month, you can ask for a breakdown of your marks and will be able to clearly see what you lost for each question.
