MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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- Management of a company that produces a medical device has carefully selected and screened 220 finished items (packaged, ready to ship). The team agrees that the sample contains 33 defective items, all for various visual defects on the package such as crooked labels, poor seal, errant marks on package, etc. The items are then given to an inspector for classification into “defective” and “non-defective” piles. The inspector ends up rejecting 9 non-defective items, and accepting 11 defective items. The inspector classifies the remaining items in the sample correctly. Find the following (answer as a probability, NOT a percentage. Use 2 decimal places: P(inspector accepts the item and its actually defective) =arrow_forwardResults of a poll evaluating support for drilling for oil and natural gas off the coast of California. Suppose the number of college grads and non-college grads was fixed prior to the study. College Grad Not College Grad Support Oppose or Do not Know Total 164 132 236 268 400 400 (a) What percent of college graduates and what percent of the non-college graduates in this sample support drilling for oil and natural gas off the Coast of California? (b) Conduct a hypothesis test to determine if the data provide strong evidence that the proportion of college graduates who support off-shore drilling in California is different than that of non-college graduates. Be sure to clearly state the null and alternative hypotheses in symbols and in words, the test statistic you choose to use, it's distribution, the p-value, and your conclusions. (Use a = = 0.05)arrow_forwardFind the area of the indicated region under the standard normal curve. Click here to view page 1 of the standard normal table. Click here to view page 2 of the standard normal table. -1.4 0 0.7 The area between z= - 1.4 and z= 0.7 under the standard normal curve is (Round to four decimal places as needed.)arrow_forward
- How do high school students feel about trust and honesty in the workplace? A random sample of 9542 high school males, and a separate random sample of 11,420 high school females were asked whether they though trust and honest were essential in business and the workplace. Here are the results. Male Female Total Agree 9097 10935 20032 Disagree 445 485 930 Total 9542 11420 20962 a) Use PMACC (clearly label each step on your paper) to determine if there is a difference in the distribution of how high school students feel about trust and honest in business and the workplace among males and females. Use a significance level of 0.05. b) Show how to calculate the expected count for males who disagree.arrow_forward16. Researchers claim that 60 tissues are the average number of the tissues a person uses during the course of a flue. The company who makes Kleenex brand tissues that thinks that fever of the tissues are needed. What are their null and alternative hynothesis 17. A randomly selected ample of 1,000 college students was asked whether they had ever drunk alcohol. Sixteen percent of the 1000 students surveyed said they had. Which one of the following statements about the number 0.16 is correct? A. Itis a sample proportion B. It is a population proportion C. It is a margin error D. It is a randomly chosen number 18. A random sample of 100 voters in a community produced 59 voters in faxour of candidate A. The observed value of the test statistics for testing the null hypothesis Ho pi = 0.5 versus the alternative hypothesis Ha pi is not equal to 0.5. a (0.05) А. 1.80 В. 1.90 С. 1.83 D. 1.28arrow_forward4arrow_forward
- A high school track coach wanted to test whether giving the students an energy drink could affect performance during the 100 meter race. The coach split the 26 boys into two equal sized groups, where Group 1 was given the energy drink and Group 2 was not. The 100 meter race times were recorded during practice and shown in the table below. What inference can be made about the results? Group 1 Group 2 12.2 13 12.5 12.3 13.3 12.8 12.9 13 13 13.8 12.1 13 13 13 13 13 12.1 13 13 13 12.1 13 12.8 13 13 12.6 Mean: 12.7 Mean: 13 Since the simulation shows ( many cases or free cases )? where a mean difference of ( solve for this answer ) or less occurred when the groups were re-randomized, it can be inferred that the mean difference observed in the study was ( very possibly or very unlikely ) ?due to the random assignment of participants into groups, so the results of the study are (…arrow_forwardManagement of a company that produces a medical device has carefully selected and screened 220 finished items (packaged, ready to ship). The team agrees that the sample contains 33 defective items, all for various visual defects on the package such as crooked labels, poor seal, errant marks on package, etc. The items are then given to an inspector for classification into “defective” and “non-defective” piles. The inspector ends up rejecting 9 non-defective items, and accepting 11 defective items. The inspector classifies the remaining items in the sample correctly. Find the following (answer as a probability, NOT a percentage. Use 3 decimal places. Notice that alpha = 9/187, Beta = 11/33, and p = 33/220. P(inspector accepts the item and its actually non-defective) =arrow_forwardManagement of a company that produces a medical device has carefully selected and screened 220 finished items (packaged, ready to ship). The team agrees that the sample contains 33 defective items, all for various visual defects on the package such as crooked labels, poor seal, errant marks on package, etc. The items are then given to an inspector for classification into “defective” and “non-defective” piles. The inspector ends up rejecting 9 non-defective items, and accepting 11 defective items. The inspector classifies the remaining items in the sample correctly. Find the following (answer as a probability, NOT a percentage. Use 3 decimal places: What is the proportion of accepted items that are actually defective (escapes)?arrow_forward
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