Maurice Tutor

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    Argosy University/ Phoniex University/
    Nov-2005 - Oct-2011

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    Phoniex University
    Oct-2001 - Nov-2016

Category > Management Posted 10 Jun 2017 My Price 11.00

“stoyan.dat” data set

This question requires the “stoyan.dat” data set (available from the TIM LMS) and the TTMthesis by Stoyan Tanev (Tanev, 2004) assigned for session 6.a) Create a new variable (“SR_NUMSERV”) that is the square root of the number of newservices (“NUMSERV”) variable (R Cmdr: Data/Manage variables in active data set/Computenew variable...). Create histograms (R Cmdr: Graph/Histogram...) and Q-Q plots (R Cmdr:Graph/Quantile-comparison plot...) for NUMSERV and SR_NUMSERV and discuss thenormality of both the original and the transformed variable.b) Perform a one-way ANOVA test (R Cmdr: Statistics/Means/One-way ANOVA...) withpairwise comparisons of means to test whether or not there is a difference in the number of newservices introduced by companies of different type. “TYPE” is a category variable with one ofthree attributes: new technology-based (“newtech”), specialized suppliers (“supplier”), or service(“service”).c) State the null hypothesis (H0) and the alternative hypothesis (HA) of this ANOVA test.d) The F value in the “Analysis of Variance Table” is 14.074. Is this F value statisticallysignificant?e) Interpret the results from the R Commander output “Multiple Comparisons of Means: TukeyContrasts” to discuss which pairs of company types differ in statistically significant ways.Explain the logic of your conclusions.f) Use the online statistics sources from the TTMG 5004 syllabus (or any other sources) todescribe and explain the Tukey method for multiple comparison of means.

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Maurice Tutor
(5)
Status NEW Posted 10 Jun 2017 06:06 PM My Price 11.00

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