Suppose a sample of O-rings was obtained and the wall thickness (in inches) of each was recorded. Use a normal probability plot to assess whether the sample data could have come from a population that is normally distributed0.188 0.184 0.194 0.1990212 0219 0.222 0.2450257 0279 0 281 0.2950 292 0.306 0.311 0.314Click here to view the table of critical values for normal probability plots.Click here to view page 1 of the standard normal distribution table.Click here to view page 2 of the standard normal distribution table.Using the correlation coefficient of the normal probability plot, is it reasonable to conclude that the population is normally distributed? Select the correct choice and fill in the answer boxes within your choice.(Round to three decimal places as needed.)OA. No. The correlation between the expected z-scores and the observed data,OB. Yes. The correlation between the expected z-scores and the observed data,OC. Yes. The correlation between the expected z-scores and the observed data,does not exceed the critical value,exceeds the critical value,exceeds the critical value,Therefore, it is not reasonable to conclude that the data come from a normal populationTherefore, it is reasonable to conclude that the data come from a normal populationTherefore, it is not reasonable to conclude that the data come from a normal population.from a normal population

The data is given on the wall thickness of the O-ring.To check the normality of the given data

Answered: Suppose a sample of O-rings was…

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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According to the Center for Disease Control and Prevention (CDC), the mean life expectancy in 2015 for non‑Hispanic black females was 78.1 years. Assume that the standard deviation was 15 years, as suggested by the Bureau of Economic Research. The distribution of age at death, ?, is not normal because it is skewed to the left. Nevertheless, the distribution of the mean, x¯, in all possible samples of size ?n is approximately normal if ? is large enough, by the central limit theorem. Let x¯ be the mean life expectancy in a sample of 100 non‑Hispanic black females. Determine the interval centered at the population mean ? such that 95% of sample means x¯ will fall in the interval. Give your answers precise to one decimal What are the upper and lower limits?
The amounts (in oz) in cans of soda are given below. The cans are labeled to indicate that the contents are 12 oz of soda. Use a 0.05 significance level to test the claim that the cans are filled so that the median amount is 12 oz. If the median is not 12 oz, are consumers being cheated? Click the icon to view the data table. Click here to view page one of the standard normal distribution table. Click here to view page two of the standard normal distribution table. First define the null and alternative hypotheses. H₂: H₁: Calculate the Wilcoxon test statistic. ▼ T= Since the sample size n is greater than 30, convert T to a z test statistic. Z= (Round to two decimal places as needed.) Determine the critical value(s). The critical value(s) is/are (Round to two decimal places as needed. Use a comma to separate answers as needed.) Choose the correct answer below. O A. Fail to reject Ho. There is sufficient evidence to warrant rejection of the claim that the median amount of soda is 12.0…
Until your a For a recent 10k run, the finishers are normally distributed with mean 63 minutes and standard deviation 14 minutes. Complete parts (a) through (d) below. Click here to view page 1 of the standard normal distribution table. Click here to view page 2 of the standard normal distribution table. ... a. Determine the percentage of finishers with times between 45 and 75 minutes. Approximately 70.50 % of finishers had times between 45 and 75 minutes. (Round to two decimal places as needed.) b. Determine the percentage of finishers with times less than 80 minutes. torre Que Approximately % of finishers had times less than 80 minutes. (Round to two decimal places as needed.) ✔Question 1 (1 Question 5 (0 Name: Due: Last Worked: Current Score: Attempts:
Assume that the mathematics scores on the SAT are normally distributed with a mean of 500 and a standard deviation of 100. What percent of students who took the test have a mathematics score between 560 and 650? Click here to view page 1 of the standard normal table. Click here to view page 2 of the standard normal table. O ..... % of students who took the test have a mathematics score between 560 and 650. (Round to two decimal places as needed.) Clear all Check answer Get more help- Lof
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The heights of 1000 students are approximately normally distributed with a mean of 175.5 centimeters and a standard deviation of 6.2 centimeters. Suppose 300 random samples of size 25 are drawn from this population and the means recorded to the nearest tenth of a centimeter. Complete parts (a) through (c) below. Click here to view page 1 of the standard normal distribution table. Click here to view page 2 of the standard normal distribution table. (a) Determine the mean and standard deviation of the sampling distribution of X. The mean is = 175.5 Hx (Type an integer or a decimal. Do not round.) The standard deviation is ox = 1.24 (Type an integer or a decimal. Do not round.) (b) Determine the expected number of sample means that fall between 173.2 and 176.7 centimeters inclusive. sample means (Round to the nearest whole number as needed.)
A vending machine is designed to dispense a mean of 7.8 oz of coffee into an 8-oz cup. If the standard deviation of the amount of coffee dispensed is 0.5 oz and the amount is normally distributed, determine the percent of times the machine will dispense more than 7.1 oz. Click here to view page 1 of the standard normal distribution table. Click here to view page 2 of the standard normal distribution table. *** % of the time the machine will dispense more than 7.1 oz. (Type an integer or decimal rounded to two decimal places as needed.) 4 Inco
According to a study conducted by an organization, the proportion of Americans who were afraid to fly in 2006 was 0.10. A raadom sample of 1,300 Americans results in 143 indicating that they are afraid to fly. Explain why this is not necessarily evidence that the proportion of Americans who are afraid to fly has increased. Click here to view the standard normal distribution table (page 1). Click here to view the standard normal distribution table (page 2). Select the correct choice below and, if necessary, fill in the answer box to coreplete your choice. O A. This is not necessarily evidence that the proportion of Americans wbn are afraid to fly has incrensed above 0.10 because the value of np(1-p) is less than 10. O B. This is not necessarily evidence that the proportion of Americans who are afraid to fly hassnrGAsed above 0.10 because the saaple proopation, (Type an integer or a decimal.) is very close to 0.10. C. This is not necessarily evidence that the proportion of ArmTicans who…
You are interested in how uniform the lengths of socks are that are produced at a factory. You measure the distribution and see that there is a normal distribution for the length of the socks. Given the following information, how likely is it that a sock is above 25 cm. Mean: 20 Standard deviation: 10.5
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In a recent poll, 45% of survey respondents said that, if they only had one child, they would prefer the child to be a boy. Suppose you conducted a survey of 160 randomly selected students on your campus and find that 79 of them would prefer a boy. Complete parts (a) and (b) below. Click here to view the standard normal distribution table (page 1). LOADING... Click here to view the standard normal distribution table (page 2). LOADING... (a) Use the normal approximation to the binomial to approximate the probability that, in a random sample of 160 students, at least 79 would prefer a boy, assuming the true percentage is 45%. The probability that at least 79 students would prefer a boy is 3636. (Round to four decimal places as needed.)
You can tell if a distribution is normal because it is Approximately bell-shaped and symmetrical Skewed to the right or left Empirical and statistically significant Independent

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