Q4' AManafacturing Company hat four branches of fattories in Chvna, Turtey, inia and Irag all of thase factories are matingstaplers - dis aaChina Factory produces SON with defect percentage 0.5%Turkey Factory produces 18% with defect percentage of 1.5%India Factory produces 22% with defect percentage of 1%Iraq Factory Produces 10% with defect percentage of 2%.If ane normal stapier selected randomly from the factories, find the probability wten it comes from Iraq's factory?

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Answered: Q4' A Manufacturing Company hat four…

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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you randomly select 15 apple tree locations and 15 citrus tree locations from different forests. Each location is 1000 m² in size. Now you randomly create 10 zones within each forest (300 total) and measure plant biomass in each for three years (900 being the final tally) determine the population of interest, the dependent variable, the independent variable, and if the independent variable is being observed or controlled/manipulated, and number of replicates pseudoreplicates.
tion 21. An investor is considering two types of investment. She is quite satisfied that the expected return on investment 1 is higher than the expected return on investment 2. However, she is quite concerned that the risk associated with investment 1 is higher than that of investment 2. To help make her decision, she randomly selects seven monthly returns on investment 1 and ten monthly returns on investment 2. She finds that the sample variances of investments 1 and 2 are 225 and 118, respectively. a) Can she infer at the 5% significance level that the population variance of investment 1 exceeds that of investment 2? b) Estimate with 95% confidence the ratio of the two population variances. c) Briefly describe what the interval estimate tells you.
A university has 4 different instructors teaching calculus 1. There have been complaints from students that one of the 4 instructors fail too many students and complaints from professors that one instructor gives too many A’s. The table (photo attached below) gives the number of ABC’s each professor gives along with the number of DFW’s. 3 sections for each teacher were randomly selected over the past 5 years for these values. Part 1) Test to see if the percent of students receiving an AB or C is different for the different instructors Part 2) If it is not the same create confidence interval using difference in proportions to find which ones are different from the others. HINT: start with the largest difference in percents first and work your way in. Thank you for your help!!
This question has several parts that must be completed sequentially. If you skip a part of the question, you will not receive any points for the skipped part, and you will not be able to come back to the skipped part. Tutorial Exercise You may need to use the appropriate technology to answer this question. A sample of 21 items from population 1 has a sample variance s₁² = 5.5 and a sample of 26 items from population 2 has a sample variance s₂² = 2.25. Test the following hypotheses at the 0.05 level of significance. Ho: H₂:₁² (a) What is your conclusion using the p-value approach? (b) Repeat the test using the critical value approach. Step 1 (a) What is your conclusion using the p-value approach? A hypothesis test comparing two population variances uses the F distribution. The F distribution is not symmetric and its shape will depend on two values of degrees of freedom, a numerator and denominator degrees of freedom. It is important to note that the values will never be negative. The F…
You intend to conduct a test of independence for a contingency table with 4 categories in the column variable and 5 categories in the row variable. You collect data from 250 subjects.What is the degrees of freedom for this χ2 distribution test?
he Princeton Review, a company that tracks information about various colleges, reports that 30% of CofC students are out-of-state students. If we took many samples of CofC students, and for each sample calculate the proportion $\hat{p}$ of out-of-state students in that sample, what would be the center of this distribution?
You will be conducting a telephone survey of university students who are 21 years of age or older. You have determined that a sample size of 250 will allow reasonable precision and confidence for your estimates of important population parameters. Let’s assume that 15% of the telephone numbers aren’t working, 2% of students you contact are ineligible because they have working telephone numbers but have left the school, about 20% of students will refuse to participate, and you will be unable to reach 30% of those selected for the sample. How many sampling elements should you include in the project?
4) We are running a hypothesis test to see if weight of African zebras is significantly different than that of Arabian horses. We assume weight in both populations is normally distributed and both populations have the same population variance in weight which is unknown to us, so we use the sample variances to estimate the standard error for our calculations. Our sampling has 8 African zebras and 6 Arabian horses. We find 3.01 as the absolute value of our standardized test statistic for our sample data. Is this data significant at the .02 level of significance? NONE OF THE OTHERS NO YES
We are running a hypothesis test to see if weight of African zebras is significantly different than that of Arabian horses. We assume weight in both populations is normally distributed and both populations have the same population variance in weight which is unknown to us, so we use the sample variances to estimate the standard error for our calculations. We have a sample of size 9 for the African zebras with mean 650 and a sample of size 16 for the Arabian horses with mean 659. If the pooled variance is 81, then what is the absolute value of the standardized test statistic for our data?
According to the Community College Research Center, 80% (or more) of community college students intend to earn at least a bachelor’s degree. Source: http://ccrc.tc.columbia.edu/media/k2/attachments/what-we-know-about-transfer. pdf For our simulation, let’s assume that 80% is a population parameter. In other words, we are going to assume that the finding in this study actually holds true for the entire population of community college students. Based on this assumption, let’s simulate collecting random samples of 100 students and calculate some confidence intervals. Our goal is to see how often a confidence interval will accurately estimate the population proportion. By this we mean that the confidence interval contains the population proportion of0.80. Verify that the distribution of sample proportions for this situation can be modeled by a normal

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