Question 16 As genetic theory shows, there is very close to an even chance that both children in a two-child family will be of the same sex. Here are two possibilities Not at anszered (i) 15 couples have two children each, In 10 or more of these families, it will turn out that both children are of the same sex, 333'\" m" f (ii) 30 couples have two children each, In 20 or more of these families, it will turn outthat both children are of the same sex, '7 Flag According to the laws of probability, which of (i) and (ii) is more likely to be observed? question Select one: Oa. (i) is more likely to be observed than (ii)' 0 b' (ii) is more likely to be observed than (i)' Question 17 N\" 3"\" According to the Law of Large Numbers, answered 2'33\"\" \"' \"f Select one: {7 F, O a. The probability that a package sent within the state of California for 2day delivery will actually arrive within one day can not be approximated by experimentation as \"\"95\"" O b. The probability that a package sent within the state of California for 2day delivery will actually arrive within one clay can be approximated by sending many packages, a large number, and observing how many of them arrive within one day O or The probability of at least one of several events happening is the complement of the union of those events. - Question 18 Not yet an swered which of the following statements is not true according to the Central Limit Theorem? a. (a) The mean of a distribution of sample means is equal to the population mean divided by the square root of the sample size. Marked out of 1'00 C] b. The larger the sample size, the more the distribution of the sample means resembles the shape of the original distribution of one single random variable \\7 Flag \"\"35\"\" at The mean of the distribution of sample means for samples of size n=15 will be the same as the mean of the distribution for samples of size n=100 do The larger the sample size, the more the distribution of sample means will resemble a normal distribution. e. An increase in n will produce a distribution of sample means with smaller standard deviation