Quote:
Originally Posted by kclark36 Given a random variable X with distribution N(mu,225) how can I find the sample size n required for a 95% confidence interval for the mean mu with an error of at most epsilon=0.01?
The only formula I can find is n=(z^2*s^2)/.25 Can I somehow use the population variance (take the square root of 225) and substitute it into an equation? I hope someone can help me. My search through websites has only made it worse. THANKYOUUUU! | Since variance is given to you, you can apply the following formula  , where  and  . Can you find  and take it from here?
__________________ To view links or images in signatures your post count must be 10 or greater. You currently have 0 posts.
To view links or images in signatures your post count must be 10 or greater. You currently have 0 posts.
To view links or images in signatures your post count must be 10 or greater. You currently have 0 posts.
(Will be MIA until December 17th)
Stuck on DE's? See To view links or images in signatures your post count must be 10 or greater. You currently have 0 posts.!
See To view links or images in signatures your post count must be 10 or greater. You currently have 0 posts. for Maple programming tips.
Become a fan of To view links or images in signatures your post count must be 10 or greater. You currently have 0 posts.! |