A coin is flipped 10 times. What is the empirical proability of getting tails? Suppose someone doubts this is fair coin, so they repeat the experiment, and get that this time there are 2 tails and 8 heads. What can be concluded about the tthis coin?
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A coin is flipped 10 times.
What is the empirical proability of getting tails?
Suppose someone doubts this is fair coin, so they repeat the experiment, and get that this time there are 2 tails and 8 heads. What can be concluded about the tthis coin?
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- Explain properly.Wrong answer will be reported.skip if u don't know.If I randomly draw a card from a standard deck of cards 50 different times and guess the suit correctly 15 times. How would I preform a hypothesis test to see if I am statistically better than the average of 25%.if Amy Cuddy and her research team originally established a sample size of n=200 (100 in each group) and then discovered that 86% of the high-power group (86 of 100) took a gambling risk while 60% of the low-power group (60 of 100) took the risk, then the p-value would have been much lower than that This p-value would have been less sensitive and would have provided stronger evidence for the researcher's hypothesis. State the p-value, rounding to 5 decimal places.
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- 2. a). The term error is used in two different ways in hypothesis testing: a Type I error (or Type II) and the standard error. What can a researcher do to influence the size of the standard error? Does this action have any effect on the probability of a Type I error? b). What are the major steps involved in hypothesis testing?The coach of a basketball team thinks the referee is using a weighted coin to decide which team gets the ball. He looks at the last 140 coin tosses and observes that there were 85 heads and 55 tails. Answer the following questions. (1) What is the null hypothesis? The observed frequency is not different than the expected frequency, meaning that the coin is biased The observed frequency is not different than the expected frequency, meaning that the coin is fair. The observed frequency is different than the expected frequency, meaning that the coin is fair. The observed frequency is different than the expected frequency, meaning that the coin is biased. (2) What is the calculated value of chi-square? (3) How many degrees of freedom are there? (4) Assuming alpha is equal to .05, what is the critical value? (5) What is your decision? Fail to reject the null and decide that the coin is fair. Fail to reject the null and decide that the coin is biased. Reject the null and decide that…A demographer wants to know what proportion of women in different countries dye their hair. They take a random sample of women from Korea and another random sample of women from China. In Korea, 47% dyed their hair. In China, 56% dyed their hair. (a) What hypotheses would the demographer use to test if women in China are more likely to dye their hair than women in Korea? H0: pChina=pKorea vs. Ha: pChina ≠ pKoreaH0: pChina - pKorea = 0 vs. Ha: pChina - pKorea > 0 H0: μChina-μKorea = 0 vs. Ha: μChina-μKorea ≠ 0H0: pChina-pKorea = 0.09 vs. Ha: pChina-pKorea ≠ 0.09H0: μChina = 0.56 vs. Ha: μKorea = 0.47 (b) Suppose their test yielded a p-value of 0.079. What does this mean in the context of the test? We are 7.9% confident that the results of our test are correct.If the women of two countries have the same rates of coloring their hair, the probability of getting a difference at least this large is 0.079. If we take another sample, the probability of getting the same p̂China and…