I'm assuming the data are normally distributed. You should be able to use the z-test tables. Less than 250 means that it includes everyone less than the mean, plus those between the mean and 31 from the mean (250-219=31). Divide 31 by the standard deviation 41.6 to get 0.7542. Look this value up on a z-table and you come up with .7704 at 0.754 and .7734 at 0.755. Interpolating 0.7542 you will come up with a z value of about .7717. Multiply 200 by 0.7717 and you get 154.34. Since you can't have .34 women, your answer should be 154.

Have a cream cake 🍰

I am usually good at math but probabilities/statistics are not my forte