Need to develop a contingency table (often used for calculating probabilities when the focus is on conditional probability).
The nurse is either M or F.
The nurse either has a BS degree or does not.
Since there are 125 female nurses, and 56 of those held bachelors degrees, that leaves (125-56), or 69, who did not hold bachelors degrees. Complete this table. I found that there are 75 male nurses and 125 female nurses. Note that 75 and 125 add up to 200 (which is the given number of nurses).
2/12 because of April and August but in simplest form it would be 1/6
<span>A </span>continuity correction factor<span> is used when you use a continuous
function to approximate a discrete one. For example, when you want to
approximate a binomial with a </span>normal distribution<span>. According to the </span>Central Limit Theorem<span>, the </span>sample
mean<span> <span>of a
distribution becomes approximately normal if the </span></span>sample size<span> <span>is
large enough. The </span></span><span>binomial distribution </span><span>can be approximated with a </span>normal distribution<span> too, as
long as n*p and n*q are both at least 5. So the answer is large</span>
