write your answers legibly and follow the formulas indicated on the picture. thank you ! 3) (he commission on Higher Education conducted a survey to identify the extent ofmplementation of the OBE program among State Universities and Colleges in NCR.mplementation of the OBE program among State Universities and Colleges in Nosuppose it was determined before in a study that 34% of the SUCS already implementdHow many SUCS will be considered in estimating the population proportion to ens95% confidence interval if the true population proportion is 38%? ormulaesample eizeZ z seoreg alphaŌ= standard devE =2.n =95% =1.96099% =2.575errorfor proportion 2^^n= pq l Ē%3Dn=s ample ritep-hat lpropor tion)( l-p)21 =' (901.,9s1.,99.%.)Use 0.5iF P is nothatE =eror2E = ?¢ V

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MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Two groups were tested in a pH rain experiment. Group A has 25 samples with mean of 4 and standard deviation of 0.5, group B has 25 samples with mean of 5 and standard deviation 0.8. a) What is the 99% confidence interval for the difference pH of the two groups? b) Can you conclude that mean of group A is different from that of group B at 5% significance? What is the p-value?
3) Last year, the mean running time for a certain type of flash light battery was 8.5 hours. This year, the manufacturer has introduced a change in the production method which he hopes will change the mean running time. A random sample of 40 of the new light bulbs was obtained and the mean running time was found to be 8.7 hours. Do the data provide sufficient evidence to conclude that the mean running time of the new light bulbs is different from last year's mean of 8.5 hours? Perform the appropriate hypothesis test using a significance level of 0.05. Assume that standard deviation of running time of all new light bulb batteries of this type is 0.5 hours.
In a simple random sample of 100 electronic components products by a certain method the mean lifetime was 125 hours. Assume that component lifetimes are normally distributed with population standard deviation =20 hours. Construct a 95% confidence interval for the mean battery life is
Suppose bootstrap_medians is a large array of bootstrapped medians and we want to use it to calculate a 95% confidence interval for the population median. Which one of these will find the lower bound for that interval? a. percentile(5, bootstrap_medians) b. percentile(97.5, bootstrap_medians) c. percentile(2.5, bootstrap_medians)
A company director investigated whether there is a difference in the mean number of overtime hours worked each week by employees assigned to two different managers. Each manager, A and B, manages 100 employees. Random samples of 35 employees from manager A and 40 employees from manager B were selected. The number of overtime hours worked was recorded for the 75 employees each week. Have the conditions been met for inference with a confidence interval for the difference in the population means? A) Yes, all conditions have been met. B) No, because the data were not collected using a random method. C) No, because the size of at least one of the samples is greater than 10 percent of the population. D) No, because the sample sizes are not large enough to assume the distribution of the difference in sample means is normal.
3) An academic advisor at a university was studying student class attendance and would like to know if class attendance depends on school. The advisor obtained attendance records for 23 students (6 from engineering, 9 from business, and 8 from arts and sciences) for the fall term. The advisor determines the total number of lectures missed by each student The data appears below. a) Use JMP to fit a one-way ANOVA to the data. Using a = 0.05 draw a conclusion for the ANOVA. Make sure you state your conclusion in the context of the problem. b) Use tukey’s test with a = 0.05 to determine which schools students have significantly differently absence rates. c. Determine with a = 0.05 if the variance in absences is different by School. School Absences Engineering 8 Engineering 10 Engineering 6 Engineering 8 Engineering 4 Engineering 8 Business 5 Business 3 Business 6 Business 7 Business 7 Business 6 Business 2 Business 8 Business 1 ArtsandSciences 9…
In a survey of 2255 randomly selected US adults (age 18 or older), 1787 of them use the Internet regularly. Of the Internet users, 1054 use a social networking site.1 Find a 90% confidence interval for each of the following proportions.1Hampton, K., Goulet, L., Rainie, L., and Purcell, K., ‘‘Social Networking Sites and Our Lives,” Pew Research Center, June 16, 2011. Correct. (a) Proportion of US adults who use the Internet regularly.Round your answers to three decimal places.The 90% confidence interval is to . SHOW HINT SHOW SOLUTION LINK TO TEXT Incorrect. (b) Proportion of US adult Internet users who use a social networking site.Round your answers to three decimal places.The 90% confidence interval is to . SHOW HINT LINK TO TEXT Incorrect.…
1) Of interest is to estimate the mean age of students at the time they take the comprehensive exam for all students enrolled in graduate programs that require students to take comprehensive exams. For this problem only, assume that the standard deviation of the ages of all such students is 3.3 years. What is the minimum number of graduate students that would need to be selected for the sample to allow the calculation of a 98% confidence interval with margin of error no larger than 1.5? 2) If the confidence level were decreased from 99% to 90%, what impact would this have on the margin of error and width of the confidence interval?
In a sample of 16 fish from my pond it was found that 5 are under 165 grams in weight. Based on this sample data and suing it to estimate the standard error, what is the MARGIN OF ERROR for the 95 percent confidence interval for the true proportion of fish in my pond weighing under 165 grams?
The authors of the paper "Length of Stay, Wait Time to Surgery and 30-Day Mortality for Patients with Hip Fractures After Opening of a Dedicated Orthopedic Weekend Trauma Room"† were interested in estimating the mean time that patients who broke a hip had to wait for surgery after the opening of a new hospital facility. They reported that for a representative sample of 204 people with a fractured hip, the sample mean time between arriving at the hospital and surgery to repair the hip was 28.5 hours and that the sample standard deviation of the wait times was 16.8 hours. If we had access to the raw data (the 204 individual wait-time observations), we might begin by looking at a boxplot. The authors of the paper commented that there were several outliers in the data set, which might cause us to question the normality of the wait-time distribution, but because the sample size is large, it is still appropriate to use the t confidence interval. We can use the confidence interval of this…
The authors of the paper "Length of Stay, Wait Time to Surgery and 30-Day Mortality for Patients with Hip Fractures After Opening of a Dedicated Orthopedic Weekend Trauma Room"† were interested in estimating the mean time that patients who broke a hip had to wait for surgery after the opening of a new hospital facility. They reported that for a representative sample of 204 people with a fractured hip, the sample mean time between arriving at the hospital and surgery to repair the hip was 28.5 hours and that the sample standard deviation of the wait times was 16.8 hours. If we had access to the raw data (the 204 individual wait-time observations), we might begin by looking at a boxplot. The authors of the paper commented that there were several outliers in the data set, which might cause us to question the normality of the wait-time distribution, but because the sample size is large, it is still appropriate to use the t confidence interval. We can use the confidence interval of this…
Suppose 20 Pennsylvania high school cross-country runners participated in a 5 K race. The mean finish time was 1400 seconds (23 minutes, `20 seconds) with a standard deviation of 60 seconds. Assuming the 20 race times are representative of times for all experienced 5 K runners in this age group and 5 K race times are approximately normally distributed, find the LOWER bound of a 90% confidence interval for the 5 K race times for Pennsylvania high school cross-country runners. For your answer, round to whole seconds, (i.e. 1234), and only the lower bound is requested, (not the entire lower and upper interval).

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