The lecture Probability Models by David Spade, PhD is from the course Statistics Part 1. It contains the following chapters:
Which of the following is true of a Bernoulli trial?
Suppose we are flipping a coin that comes up heads 40% of the time. What is the probability that, in an independent sequence of flips, the first flip that comes up heads is on the fourth trial?
Suppose we are flipping a coin that comes up heads 40% of the time. What is the probability that, in an independent sequence of 10 flips, heads comes up exactly twice?
Suppose we are flipping a coin that comes up heads 40% of the time. What is the probability that, in an independent sequence of 100 flips, heads comes up between 30 and 45 times? Use the normal approximation to do this, assuming all of the conditions are satisfied.
Which of the following is NOT true of the normal approximation to the binomial model?
If the probability of success is 0.2 and X is the random variable corresponding to the trial on which the first success occurs then what is E(X)?
If the probability of success is 0.2 and X is the random variable corresponding to the trial on which the first success occurs then what is SD(X)?
What is the value of 5!?
What is the value of E(Y) under binomial distribution if n = 2 and p = 0.5
What is the value of SD(Y) under binomial distribution if n = 2 and p = 0.5
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