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Yue Business Analytics Assignment #1, Due 2013/07/15 July 8, 2013 1. The SAT scores have an average of 1200 with a standard deviation of 60. A sample of 36 scores is selected. (a) What is the probability that the sample mean will be larger than 1224? (b) What is the probability that the sample mean will be less than 1230? (c) What is the probability that the sample mean will be between 1200 and 1214? (d) What is the probability that the sample mean will be greater than 1200? (e) What is the probability that the sample mean will be larger than 73.46? 2. A random sample of 100 credit sales in a department store showed an average sale of $120.00. From past data, it is known that the standard deviation of the population is $40.00. (a) Determine the standard error of the mean. (b) With a 0.95 probability, determine the margin of error. (c) What is the 95% confidence interval of the population mean? 3. A simple random sample of 1,067 people resulted in a sample proportion of 0.4 in favor of candidate A. (a) Construct a 95% confidence interval for the population proportion. (b) Suppose the margin of error is set to be 4% for another survey. Calculate the sample size needed. (c) In class, we mentioned that, if given the margin error is 3% and 95% confidence coefficient, a sample of size 1,067 will be needed. Write down the statistical assumption for this statement. 4. Ahmadi, Inc. has been manufacturing small automobiles that have averaged 50 miles per gallon of gasoline in highway driving. The company has developed a more efficient engine for its small cars and now advertises that its new small cars average more than 50 miles per gallon in highway driving. An independent testing service road-tested 64 of the automobiles. The sample showed an average of 51.5 miles per gallon with a standard deviation of 4 miles per gallon. (a) Formulate the hypotheses to determine whether or not the manufacturer's advertising campaign is legitimate. (b) What is the appropriate distribution to conduct the statistical test? Compute the test statistic and the p-value. (c) Using α=0.05, draw a conclusion. (State it clearly) 5. A volleyball coach claims that that a team member can force more than 3.4 liters out of her lungs (more than the claimed average for female college students). A sample of nine observations yields the following results 3.4, 3.6, 3.8, 3.3, 3.4, 3.5, 3.7, 3.6, 3.7 Is there reason to believe that women that play volleyball can force more air out of their lungs then other female college students? (a) Write down the null hypothesis and alternative hypothesis. (b) Construct a 95% confidence interval for the mean air out of the lungs from the female volley team members. (c) Compute the p-value of the statistical test and give your conclusion if = .01. 6. In class, we use the court as an example to explain the null and alternative hypotheses. Based on the case of People vs. Collins (1969), discuss the following topics: (a) What are the null hypothesis and the alternative hypothesis? (b) Explain your reasons for the choice of the null hypothesis. (c) Do you think the testimony of eyewitnesses can be used to charge the couples? Explain.