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Use the following description to answer the next 3 questions. The breaking strength (X), in MPa,...
The breaking strength of a rivet has a mean value of 10,100 psi and a standard deviation of 502 psi. (a) What is the probability that the sample mean breaking strength for a random sample of 40 rivets is between 10,000 and 10,300? (Round your answer to four decimal places.) (b) If the sample size had been 15 rather than 40, could the probability requested in part (a) be calculated from the given information? Explain your reasoning. O Yes, the...
Question 7 The mean breaking strength of yarn used in manufacturing drapery material is required to be more than 100 psi. Past experience has indicated that the standard deviation of breaking strength is 2.9 psi. A random sample of 9 specimens is tested, and the average breaking strength is found to be 100.6 psi. Statistical Tables and Charts (a) Calculate the P-value. Round your answer to 3 decimal places (e.g. 98.765). If a = 0.05, should the fiber be judged...
pom DevoPeStat9 5.E.504.XP. My Notes Ask Your Teacher breaking strength of a rivet has a mean value of 10,100 psi and a standard deviation of 499 psi. (a) What is the probability that the sample mean breaking strength for a random sample of 40 rivets is between 10,000 and 10,300? (Round your answer to four decimal places.) 0.0963 (b) If the sample size had been 15 rather than 40, could the probability requested in part (a) be calculated from the...
The tensile strength in MPa (megapascals) measured for a random sample of 20 pieces of die-cast aluminium is displayed in the following stem-and-leaf plot: 17 007 leaf unit = 1 18 3 19 47 20 125 21 22 23 23 04448 24 014 25 26 2 The sample mean and standard deviation are: y = 215.05 s=27.19225 Assuming that the tensile strength measurements are Normally distributed, what is the width (upper limit minus lower limit) of the 90% confidence interval...
Questions 15–17. A newspaper reported that 90% of youths use the Internet. Use this reported number as the population proportion. A random sample of 900 youth is selected. Let p be the sample proportion of youths who use the Internet. 15. The distribution of p is closest to ✓(a) normal with mean 0.9 and standard deviation 0.01 (b) normal with mean 0.9 and standard deviation 0.3 (c) binomial with mean 0.9 and standard deviation 0.01 (d) binomial with mean 0.9...
Suppose the proportion of people affected by gluten sensitivity in the United States is 0.2. If we let (p^) be the proportion in a random sample of size n = 120, write the mean, standard deviation and sampling distribution of sample proportion, and find the approximate probability that the value of (p^) is less than the population proportion (p) by 0.01 or more within 0.01 of the p not within 0.01 of the p
Use the information in the following table for the next few questions. The following statistics represent samples of copper wire submitted by two companies for tensile strength testing (psi). Statistic Company A Company B Arithmetic Mean 500 600 Median 500 500 Mode 500 300 Standard Deviation 40 ...
1 points Use the following data to answer the next three questions. A group of students are classified according to their gender and major. The results of this classification is presented in the following table Marketing Finance Accounting Cis Total Female 45 50 60 190 Male 60 70 50610 110 130 85400 1. If a student is selected at random, what is the probability that this student is male given that this student is majoring in Marketing 0.40 0.60 0.075...
Determine if the finite correction factor should be used. If so, use it in your calculations when you find the probability. In a sample of 700 gas stations, the mean price for regular gasoline at the pump was $ 2.854 per gallon and the standard deviation was $0.009 per gallon. A random sample of size 45 is drawn from this population. What is the probability that the mean price per gallon is less than $2.851? The probability that the mean...
Determine if the finite correction factor should be used. If so, use it in your calculations when you find the probability. In a sample of 800 gas stations, the mean price for regular gasoline at the pump was $ 2.849 per gallon and the standard deviation was $0.008 per gallon. A random sample of size 50 is drawn from this population. What is the probability that the mean price per gallon is less than $2.847? The probability that the mean...