Statistics

What’s the probability of a type 1 error. What happens when the sampling distribution is altered (e.g. filtering out all values below the mean) and how does it effect type 1 errors?

Data Scientist

Google

Flexport

Roblox

Credit Karma

Tesla

Agoda

Did you come across this question in an interview?

  • What’s the probability of a type 1 error. What happens when the sampling distribution is altered (e.g. filtering out all values below the mean) and how does it effect type 1 errors?
  • Tell me about the probability of type 1 errors. If we modify the sampling distribution and disregard all measurements below the mean, what would be the outcome in terms of making type 1 errors?
  • What is the chance of making a type 1 error, and can you elaborate on it? If we modify the sampling distribution by filtering out data below the mean, how will it affect the probability of a type 1 error?
  • Could you explain what type 1 errors are? If we filter out all measurements below the mean while modifying the sampling distribution, how does it influence the possibility of making type 1 errors?
  • Explain type 1 errors and their likelihood. If we change the sampling distribution and omit all measurements below the mean, what impact will this have on the possibility of a type 1 error?
  • How would you describe the possibility of making a type 1 error? When we modify the sampling distribution by filtering out data below the mean, how does this affect type 1 errors?
  • What is the chance of committing a type 1 error? Suppose we change the sampling distribution by disregarding all measurements below the mean. How does this affect the likelihood of a type 1 error?
  • How would you define type 1 errors, and what is their probability? If we alter the sampling distribution and filter out data below the mean, how will this influence the likelihood of type 1 errors?
  • Can you tell me about the likelihood of making a type 1 error, please? If we adjust the sampling distribution by eliminating all measurements below the mean, how does this impact the possibility of making a type 1 error?
  • Can you explain the likelihood of committing a type 1 error? Suppose we filter out data below the mean while altering the sampling distribution. How does this affect the possibility of making a type 1 error?

Interview question asked to Data Scientists interviewing at Amadeus, Google, Digit and others: What’s the probability of a type 1 error. What happens when the sampling distribution is altered (e.g. filtering out all values below the mean) and how does it effect type 1 errors?.