you flip a coin 8 times and record the results using zero four heads and one for tails you find the variance is investigating the sample variance the same as investigating the sample distribution of the variance ?
No. Investigating the sample variance is not the same as investigating the sample distribution of the variance.
Because the sample distribution of the variance is the distribution of the means from all samples, not just one.
Here, flipping a coin 8 times and finding variance is a variance obtained from a single sample(sample size =8).
you flip a coin 8 times and record the results using zero four heads and one...
Flip a coin 10 times and record the observed number of heads and tails. For example, with 10 flips one might get 6 heads and 4 tails. Now, flip the coin another 20 times (so 30 times in total) and again, record the observed number of heads and tails. Finally, flip the coin another 70 times (so 100 times in total) and record your results again. We would expect that the distribution of heads and tails to be 50/50. How...
You have five coins in your pocket. You know a priori that one coin gives heads with probability 0.4, and the other four coins give heads with probability 0.7 You pull out one of the five coins at random from your pocket (each coin has probability 릊 of being pulled out), and you want to find out which of the two types of coin it is. To that end, you flip the coin 6 times and record the results X1...
Answer part a and part b please!!! (a) What is the conditional probability that exactly four Tails appear w when a fair coin is flipped six times, given that the first flip came up Heads? (I.e. the coin , then is flipped five more times with Tails appearing exactly lour times.) (b) What if the coin is biased so that the probability of landing Heads is 1/3? (Hint: The binomial distribution might be helpful here.) (a) What is the conditional...
If you flip a fair coin six times, what is the probability of having more heads than tails?
Suppose you flip an ordinary fair coin 60 times and amazingly it lands on heads every single time. What is the probability that on your next flip, it lands on tails?
Flip a coin 50 times, create a table to tally your results, then create a graph of your results to display the percentage of heads or tails.
You suspect that a coin is biased such that the probability heads is flipped (instead of tails) is 52%. You flip the coin 51 times and observe that 31 of the coin flips are heads. The random variable you are investigating is defined as X = 1 for heads and X = 0 for tails, and you wish to perform a "Z-score" test to test the null hypothesis that H0: u = 0.52 vs. the alternative hypothesis Ha: u > 0.52....
Problem 02 Design a finite-state machine that records the results of flipping a coin a certain number of times. The state machine takes as an input flip which is zero for heads and one for tails. The states are labeled so as to indicate the numbers of heads and the nurnber of tails, NONE. H. T, HH, TT HT, HHH, etc. The order that the heads or tails was flipped does not matter, only the total numbers of heads and...
Suppose we flip a fair coin n times. We say that the sequence is balanced when there are equal number of heads and tails. For example, if we flip the coin 10 times and the results are HT HHT HT T HH, then this sequence balanced 2 times, i.e. at position 2 and position 8 (after the second and eighth flips). In terms of n, what is the expected number of times the sequence is balanced within n flips?
You flip the same coin 90 mores times (100 total flips). If half of the 90 additional flips are heads (45 heads) and half are tails (45 tails), what is the empirical probability of getting a heads for this coin? (So there are the original 10 heads plus an additional 45 heads for a total of 55 heads in 100 flips) (You can give the answer as either a decimal or percent. Give the answer to two decimal places.)