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A manufacturer wishes to estimate the proportion of washing machines leaving the factory that is defective. How large a sample should she check in order to be 93 percent confident that the true proportion is estimated to within 0.014?
It has been estimated that 30% of all farms are family-owned. In a sample of 12 farms, what is the probability that exactly three farms are family owned?
A researcher wants to determine a 95% confidence interval for the mean number of hours that UMKC students spend doing homework per week.
She selected a random sample of 50 students from each of the four dormitories. What is the null hypothesis for this situation?
Develop a 95% confidence interval to estimate the difference in SAT math scores from students in Delaware and New jersey.
There are 6 different factors labeled as A, B, C, D, E, and F. Given that D=AB, E=-AC, F=-BC, please provide the corresponding 26-3 design table. Also, please write down the complete defining relation and the complete effect alias structure.
If the airline sells 160 tickets for a flight that has only 155 seats, what is probability that a seat will be available for every person holding a reservation and planning to fly?
A regression line for a certain set of data is found to be y = 14 + 9x. The mean of y , or y bar, is 27. A particular data point is (2,40). What is the total variation in this point?
State the hypothesis test (with the formula of test statistic) could be used to see if the show-up ratio of people booked tickets is larger than 0.7.
The machine will stop working if more than three components fail. Find the probability that the machine will be working.
Discuss the subject matter in the article, and interpret the results and what the confidence interval and margin of error mean as they apply to the specific subject matter.
The combined SAT scores of students are normall distributed with a mean of 950 and a standard deviation of 200. What are the minimum and the mximum values of the middle 87.4% of the scores.
The company recorded the type of the most recent visit to a doctor by each employee.State the decision rule. Use 0.01 significance level. Comute the value of teh Chi-Square.
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