A paper company manufactures cardboard boxes. The company wishes to investigate the effects of four production methodson the number of defective boxes produced in an hour. The company randomly selects three machine operators and trainseach operator thoroughly to use all four production methods. Then each operator will produce boxes for one hour using eachof the four production methods. Test the null hypothesis that the population mean number of defective boxes is the same forthe four production methods. Use the output below to answer the following questions. Use a significance level of 0.05 toconduct all hypothesis tests and construct confidence intervals.Analysis of VarianceSum ofSourceDFSquares Mean Square F Ratio Prob > FМЕТНOD3 112.6666715.1666737.5556 79.5294 <.0001*OPERATOR27.5833 16.0588 0.0039*Error6.2.833330.4722C. Total11130.66667Select the correct alternate hypothesis.At least two treatment means are equal.O At least two treatment means differ.All treatment means differ.All treatment means equal zero.All treatment means are equal.

Analysis of Variance (ANOVA) Analysis of Variance (ANOVA) is a statistical technique for examining…

Answered: A paper company manufactures cardboard…

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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ANSwer part b in frq style and descriptive
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Do larger universities tend to have more property crime? University crime statistics are affected by a variety of factors. The surrounding community, accessibility given to outside visitors, and many other factors influence crime rate. Let x be a variable that represents student enrollment (in thousands) on a university campus, and let y be a variable that represents the number of burglaries in a year on the university campus. A random sample of n = 8 universities in California gave the following information about enrollments and annual burglary incidents. x 10.9 30.4 24.5 14.3 7.5 27.7 16.2 20.1 y 23 76 39 23 15 30 15 25 (a) Make a scatter diagram of the data. Then visualize the line you think best fits the data. A scatter diagram has a horizontal axis labeled "x (student enrollment (in thousands))" with values from 7.5 to 30.4 and a vertical axis labeled "y (annual number of burglaries)" with values from 15 to 76. The scatter diagram has 8 points. A pattern goes up and…

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