he Weibull distribution is widely used in statistical problems relating to aging of solid insulating materials subjected to aging and stress. Use this distribution as a model for time (in hours) to failure of solid insulating specimens subjected to AC voltage. The values of the param epend on the voltage and temperature; suppose a = 2.2 and - 220. (a) What is the probability that a specimen's lifetime is at most 250? Less than 250? More than 300? (Round your answers to five decimal places.) at most 250 0.75199 less than 250 0.75199 more than 300 0.10648 (b) What is the probability that a specimen's lifetime between 100 and 250? (Round your answer to four decimal places.) (c) What value (in hr) is such that exactly 50% of all specimens have lifetimes exceeding that value? (Round your answer to three decimal places.)

In my homework these options were marked as wrong. Could there be another way to match these options?

In 2019, the United States Department of Education defined a "credit hour" as one hour per week of instruction, and two additional hours of work outside of class. So, for example, a 3 credit hour class should aim to have about 6 hours of outside-of-class work per week.Earlier this semester, I asked students how many hours they spent on the course outside of class time. A couple students provided helpful, but non-numeric, responses, so I omitted them from the data set. Below is a dotplot and summary statistics from the other responses: a)suppose we want to view this data as a sample of students from sections of Math 104. Then: n= xˉ= s=   b)List at least one concern you might have about using this sample to do inference on the number of study hours for all students taking Math 104.   c)Putting aside the concerns you raised in (b) the Professor is wondering if the sample demonstrates that the amount of work he assigns in the course is reasonable under the federal guidelines for a…

I want my question tokens refunded to me since all the ones i sent to an expert were wrong