Perform Grubb's Test and make a conclusion to accept or reject the outlier . Given: Mass of 1-peso coins collected from Experiment 1.Sample No.Sample No.16273845Weight in grams1.10021.23581.18291.32331.1476910Weight in grams1.97651.00671.01821.01731.1094

Answered: Image /qna-images/answer/1da98d29-a2e3-4141-b05d-f0fa47fa3b69.jpg

Answered: Perform Grubb's Test and make a…

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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A survey conducted on a group of 250 people randomly recruited from among the retirees revealed that 115 people were willing to find a new job. It is known that the rate of those who previously wanted to work among retired people is 67%. Can it be claimed that the ratio of these two tendencies is different from each other for the 2% significance level? Test it, interpret the decision you made as a result of the test. While testing the hypothesis test, apply the 4 stages and show them separately.
Explain outliers and normality in context of score distribution assumptions. Discuss strategies for detectingoutliers.
The accompanying data represent the miles per gallon of a random sample of cars with a three-cylinder, 1.0 liter engine. (a) Compute the z-score corresponding to the individual who obtained 35.8 miles per gallon. Interpret this result. (b) Determine the quartiles. (c) Compute and interpret the interquartile range, IQR. (d) Determine the lower and upper fences. Are there any outliers? : Click the icon to view the data. (a) Compute the z-score corresponding to the individual who obtained 35.8 miles per gallon. Interpret this result. The z-score corresponding to the individual is (Type integers or decimals rounded to two decimal places as needed.) and indicates that the data value is standard deviation(s) V the (b) Determine the quartiles. MPG Data Q, = Q2 = mpg mpg 40.2 40.6 mpg 42.5 e 37.8 38.1 32.2 35.9 38.7 34.3 36.4 38.9 43.0 Click to select your answer(s). 34.7 37.4 38.2 39.2 41.3 43.3 35.8 37.6 38.6 39.5 41.6 48.9
Pls help ASAP
The accompanying data represent the miles per gallon of a random sample of cars with a three-cylinder, 1.0 liter engine. (a) Compute the z-score corresponding to the individual who obtained 40.2 miles per gallon. Interpret this result. (b) Determine the quartiles. (c) Compute and interpret the interquartile range, IQR. (d) Determine the lower and upper fences. Are there any outliers? Click the icon to view the data. (a) Compute the z-score corresponding to the individual who obtained 40.2 miles per gallon. Interpret this result. The z-score corresponding to the individual is and indicates that the data value is standard deviation(s) (Type integers or decimals rounded to two decimal places as needed.) MPG Data 32.6 35.8 38.0 34.1 36.3 38.1 38.6 40.2 42.4 39.0 40.6 42.8 34.4 37.4 38.3 35.6 37.6 38.5 39.4 39.2 41.4 41.5 43.7 49.0 Print Done the -
the central limit theorem informs the numerator of the z- score for the sample means equation. true or false?
I am working in excel and using the binomial dist. The problem is: A lightbulb factory produces 1,000 lightbulbs every hour. Approximately 0.5% of the lightbulbs are defective, and do not work. Use the binomial distribution to determine the odds each respective outcome below. Then answer the questions. Distribution table is 1-15. For my equation, what is:number_strials probability cumulative
32.8 36.1 37.6 38.7 39.8 42.5 34.4 36.3 38.1 39.1 40.6 42.9 34.7 37.3 38.2 39.5 41.3 43.3 35.6 37.5 38.5 39.8 41.8 49.0
Explain why considering outliers is important when you are conducting a one-mean z-test.
Describe about One-Factor ANOVA.
Researcher wanted to determine if carpeted rooms containe more bacteria than uncarpted rooms. Colonies of bacteria were allowed to form in the 16 Petri dishes. A normal probality plot and boxplot indicate that the data are aproximately normally distributed with no outliers. Do carpted rooms have more bacteria than uncarpted roomz at the a= 0.05 level of signicance? carpeted rooms (bacteria/cubic foot) 11.8, 8.2, 7.1, 13, 10.8, 10.1 14.6, 14 uncarpted room( bacteria/cubic foot) 12.1, 8.3, 3.8, 7.2, 12, 11.1 10.1 13.7 a) Is this independent or dependent sampling? b) State the null and alternative hypotheses c) P-value: d) state your conclusion in the langauage of the problem.
How do you identify possible outliers in the independent variables? How do you identify possible outlier(s) with respect to the dependent variable?

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