I applied online. I interviewed at State Farm (Athens, GA) in Jun 2020
Interview
Interview was about one hour. I was asked fairly basic statistical questions about linear logistic regressions. I have a background in Computer Science, but the two statistics classes I took as an undergrad was enough for me to get an offer.
I applied online. The process took 4 weeks. I interviewed at State Farm (Athens, GA) in Oct 2022
Interview
MAGnet program explanation - 20 minutes. I was interviewed by two people (Athens, GA). 0 programming questions 0 behavioral questions Statistical technical questions 50 minutes. Questions at the end - 5 minutes Good luck people you need to know statistics like the back of your hand for this internship.
Interview questions [1]
Question 1
What does it mean when R^2 is 0? What does it mean when R^2 is 1? Can R^2 be negative? Given a linear regression equation y=10+5X and a R^2 value of 0.65, what does the R^2 value represent? Given a linear regression equation y=10+5X and a R^2 value of 0.65, if the data changes from days to years does the value of "R^2" increase, decrease, or stay the same. Given a linear regression equation y=10+5X and a R^2 value of 0.65, if the data changes from days to years does the value of the "coefficient" increase, decrease, or stay the same. What does the coefficient tell you in linear regression? Given a linear regression equation y=10+5X and a R^2 value of 0.65, explain what the coefficient means to a business client. What does the Total sum of squares measure? How do you measure variability in the total sum of squares? What is the 99% confidence interval? The sample mean of a claim amount in Georgia is $175 and in Illinois is $200 for the 95% confidence interval. With a margin of error of 15 which cost is higher and why? What is the alpha in hypothesis testing? How do you decrease a type 2 error? How would you decrease a type 2 error in your model? What is the power of a hypothesis test? What is the binomial distribution? I was given a problem and asked to fill in what the parameters were for a binomial distribution.