The lifetime of a lightbulb in a certain application is normally distributed with mean μ = 1500 hours and standard deviation σ = 200 hours. NOTE: This is a multi-part question. Once an answer is submitted, you will be unable to return to this part. What is the probability that a lightbulb will last more than 1800 hours?

I'm confused on this could anyone me and show me what i need to do to solve it.

For a science project, a high school research team conducted a survey of local air temperatures. based on the results of the survey, the found that the average temperatures were around 10 degrees higher than expected. this result was wrong. the trouble with the survey was that most of the locations were exposed to direct sunlight and located over asphalt or sand, which resulted in higher temperatures than normal. this is a classic example of an error in which phase of inferential statistics?

Show all work to identify the discontinuity and zero of the function f of x equals 6 x over quantity x squared minus 36