Kindly help with the attached question.
The coin has 95 percent confidence interval on the probability that it will come up head.
So to test it's fairness we can practically flip a coin 10 to15 times or 20 times and find out the probability of occurrence of head and calculate it's percentage of occurrence of head.Then we can check it's fairness,if it's more than 50 percent then it's biased or unfair coin.
For the above coin, it's given the probability of head is 95 percent,so if I toss the coin for 10 times,then at least 9 times head will occur and almost 10 times head will occur.
Hence we checked and verified the unfairness of the coin by the above method.
Kindly help with the attached question. Problem 5 (6.6). Describe how you would test for the fairness of a coin with a 9...
8.46 Sample size for tossing a coin. Refer to Exercise 8.39 where we analyzed the 10,000 coin tosses made by John Kerrich. Suppose that you want to design as a study that would test the hypothesis that a coin is fair if versus the alternative that the probability of a head is 0.05. what sample 0.51. Using a two-sided test with a = size would be needed to have 0.80 power to detect this alternative? us 8.39 Tossing a coin...
PLEASE ANSWER QUESTION # 5 a and b !!!!!!!!!! 4) Chapter 4-5: a) You flip a balanced coin 3 times. What is the probability that you get 3 heads? b) You flip a balanced coin 3 more times. What is the probability that you get 3 tails? c) What is the probability that you get 3 heads followed by 3 tails? d) What is the probability that you get exactly 1 head in the 6 flips? 5) Chapter 6: a)...
Hello! Can you help me understand how to approach to solve the following problem (viewing this as a Markov Chain problem)? In a sequence of independent flips of a fair coin that comes up heads with probability .6, what is the probability that there is a run of three consecutive heads within the first 10 flips?
Question 2 Suppose you have a fair coin (a coin is considered fair if there is an equal probability of being heads or tails after a flip). In other words, each coin flip i follows an independent Bernoulli distribution X Ber(1/2). Define the random variable X, as: i if coin flip i results in heads 10 if coin flip i results in tails a. Suppose you flip the coin n = 10 times. Define the number of heads you observe...
Test the claim that your coin is fair, using a 5% level of significance. Use the Chi-Square Goodness of Fit Test. Toss a coin at least 12 times (why?). a) What is n? What are the number of Tails and Heads? These are the Observed frequencies. b) What are the Expected frequencies? c) What is the Null Hypothesis H0? d) What is the Alternative Hypothesis H1? e) Is this a left, right, or two-tailed test? f) Chi-Square Test Statistic =?...
5. Describe in detail how you would construct a 95% confidence interval for a set of 30 data (4 points) points whose mean is 20 and population standard deviation is 3. Be sure to show that you know the formula and how to plug into it. Also, clearly state the margin of error 6. If the margin of error in an estimate for the mean weight of a shipment is + or -2 pounds at a (4 points) confidence level...
Chapter 5: Discussions 1. Scheduling Employees: Suppose you own a catering company. You hire temporary employees to act as servers from the local college. Not being the most reliable employees, there is an 80% chance that any one server will actually show up for a scheduled event. For a wedding scheduled on a given Saturday you need at least 5 servers. (a) Suppose you schedule 5 employees, what is the probability that all 5 come to work? (b) Suppose you...
Name: Lab Partner(s) Date: Question What would be the density of lab gas at STP (o C and i atm)? (Hints (You do NOT have to answer these questions in italics; they are only here to help you answer the actual question.): There are TONS of different ways to approach this problem. If you were to bring your sample of lab gas to STP, what (from the ideal gas equation) would change? How would you expect this change to affect...
5) Let's examine the relationship between CI's and hypothesis tests: (a) You calculate a 90% confidence interval for p and come up with (-10, 26). If you test Hay=-12 and use a = .10, will you reject H.? Why or why not? (b) Now you calculate a 95% CI for and come up with (-3,7). If you test Hiu= 8 and use a = .10, will you reject H.? Why or why not? (c) Finally, you calculate a 95% CI...
This Question: 1 pt 5 of 15 (3 complete) This Test: 15 pts possit Question Help In a random sample of 18 people, the mean commute time to work was 34.7 minutes and the standard deviation was 73 minutes. Assume the population is normally distributed and use a t-distribution to construct a 95% confidence interval for the population mean . What is the margin of error of Interpret the results The confidence interval for the population mean is ( (Round...