Name three types of biases that can occur during sampling?
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A jar has 1000 coins, of which 999 are fair and 1 is double headed. Pick a coin at random, and toss it 10 times. Given that you see 10 heads, what is the probability that the next toss of that coin is also a head?
What is a/b testing in data science?
What is selection bias?
What is need of principal component analysis?
What do you understand by type I vs type ii error?
What is an example of a data set with a non-gaussian distribution?
What do you understand by the term data science?
what is json and what is xml?
What is the difference between data science, machine learning and artificial intelligence?
What is pylab?
A box has 12 red cards and 12 black cards. Another box has 24 red cards and 24 black cards. You want to draw two cards at random from one of the two boxes, which box has a higher probability of getting cards of same colour and why?
What is the central limit theorem? How is a normal distribution different from chi square distribution?
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