QUESTION 4An electronic engineer in a manufacturing company is investigating two types of resistors. Arandom sample of 6 resistors from each type was installed in smart televisions. Each televisionwas then applied with a high voltage of 300 volts causing damage to the electronic components.The following are the cost of repairs (in RM):Resistor Type 1Resistor Type 2450360400300360485Table 3336363345420405305Construct the 90% confidence interval (CI) for the mean cost of repairs using each type ofresistor. State three (3) conditions for constructing the CI and give your observation from theconfidence intervals.

Given data: Resistor Type 1 450 400 360 336 345 405 Resistor Type 2 360 300 485 363 420 305…

Answered: QUESTION 4 An electronic engineer in a…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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Question 3 A group of engineers developed a new design for a steel cable. They need to estimate the amount of weight the cable can hold. The weight limit will be reported on cable packaging. The engineers take a random sample of 41 cables and apply weights to each of them until they break. The 41 cables have a mean breaking weight of 772.3 lb. The standard deviation of the breaking weight for the sample is 15.3 lb. Find the 95% confidence interval to estimate the mean breaking weight for this type cable. ( ) Your answer should be to 2 decimal places.
Question 2: give the rejection region.
QUESTION 28 The following are body mass index (BMI) scores measured in 12 patients who are free of diabetes and are participating in a study of risk factors for obesity. Body mass index is measured as the ratio of weight in kilograms to height in meters squared. Generate a 95% confidence interval estimate of the true BMI. 25 27 31 33 26 28 38 41 24 32 35 40
Question 3 Create a 90% confidence interval for a population proportion from a sample of size 84 with sample 46 proportion p 84 [three decimal accuracy] [three decimal accuracy] Submit Question a山T0 MAR 18 MacBook Air 80 F1 F2 F3 F4 F5 F6 F @ # $ 1 2 3 4 5
QUESTION 3 The GPAs of nursing students (p1) were compared to GPAs of student-athletes (p2) were compared. Of a sample of 400 randomly and independently selected nursing students, 75% were placed on honor roll. Of a sample of 100 athletes, 80% of the students were placed on honor roll. Calculated the UPPER bound of the 95% confidence interval for the two samples. Round to the nearest hundredth.
Question 18 A smart phone manufacturer is interested in constructing a 95% confidence interval for the proportion of smart phones that break before the warranty expires. 87 of the 1503 randomly selected smart phones broke before the warranty expired. Round answers to 4 decimal places where possible. a. With 95% confidence the proportion of all smart phones that break before the warranty expires is between and b. If many groups of 1503 randomly selected smart phones are selected, then a different confidence interval would be produced for each group. About percent of these confidence intervals will contain the true population proportion of all smart phones that break before the warranty expires and about percent will not contain the true population proportion. Hint: Hints Video
Question 11: use this information to construct a 95% confidence interval for the proportion of the population that will reject relocation offers due to family considerations.
QUESTION 1 A hardware store determined the current balances for a random sample of 100 customers with non-zero balances. The sample mean of the amount owed was $100.00 and the standard deviation was $25. Use the assumption that the sample standard deviation is equal to the population standard deviation. You are asked to find a confidence interval for the average amount owed by all customers with a non-zero balance. Which Minitab procedure would be most appropriate to use for this task? O Power and Sample Size/1-Sample Z O Power and Sample Size/Sample Size for Estimation/1-Sample Z O Basic Statistics/1-Sample Z O Basic Statistics/1-Sample t
Question 2 Use the following information to set up a 2 x 2 table and calculate appropriate measure of association. The following are the results from a population-based study to investigate whether high fat consumption is a risk factor for coronary heart disease (CHD): A total of 450 patients were selected from various hospitals and a total of 702 participants without CHD matched by age and sex were selected from the neighborhood where patient lived. A total of 405 CHD patients and 324 controls reported eating fatty food and the remaining reported normal diet. e) Interpret your results.
Question 6 Is smoking during pregnancy associated with premature births? To investigate this question, researchers selected a random sample of 118 pregnant women who were smokers. The average pregnancy length for this sample of smokers was 255 days. From a large body of research, it is known that length of human pregnancy has a standard deviation of 16 days. The researchers assume that smoking does not affect the variability in pregnancy length. Find the 95% confidence interval to estimate the length of pregnancy for women who smoke. (Note: The critical z-value to use, Ze, is: 1.960) ) Your answer should be rounded to 3 decimal places.
The Wall Street Journal asked Concur Technologies, Inc., an expense management company, to examine data from 8.3 million expense reports to provide insights regarding business travel expenses. Their analysis of the data showed that New York was the most expensive city. The following table shows the average daily hotel room rate (X) and the average amount spent on entertainment (Y) for a random sample of 9 of the 25 most-visited U.S. cities. These data lead to the estimated regression equation y = 17.49 + 1.0334x. For these data SSE = 1541.4. Use Table 1 of Appendix B. a. Predict the amount spent on entertainment for a particular city that has a daily room rate of $89 (to 2 decimals). b. Develop a 95% confidence interval for the mean amount spent on entertainment for all cities that have a daily room rate of $89 (to 2 decimals). c. The average room rate in Chicago is $128. Develop a 95% prediction interval for the amount spent on entertainment in Chicago (to 2 decimals).

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