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Console + train R Console train < -read. c s v (C:/Users/cherr/Desktop/training data. csln + (rep ( 24), ep (v Page I tcan-nxng ep rep

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Console + train

R Console train < -read. c s v ("C:/Users/cherr/Desktop/training data. csln + (rep ( 24), ep (v Page I tcan-nxng ep rep ( workbook' ; , header TRUE) > train __trai.n&ng ) 10 11 12 14 15 17 18 19 21 22 23 24 10 10 11 stion 1 workbook 10 13 11 11 10 [401 he objective of a study was to evaluate the eficacy of using a virtual kitchen for vocational people with teaming disabilities. A the study. Each student performed four food preparation taskiTtfifiGcored on the quality of the preparation. Then each participant received regular,vocational training in food preparation (real training), virtual training using a TV and computer screen of a typical kitchen, workbook training with specialized reading materials and no training (to selve as control). After each of these trainings, the subjects were tested on food preparation. Improvement scores for in the ule website under the each of the four training methods were recorded. "Additional resources" folder and was saved as "training_data.csv". and . Present or answer the questions that follow. Use R to answer e relevant R outputs used to answer your questions. Note: The data has been captured in its raw format and must be converted prior to performing one way ANOVA. Import the data in R using the following code: trainingc read.table sep=";", header=T) After importing the data into R, to convert the data use: 24),rep('virtual_training', 24); rep('workbooK, 24), 24)) training$workbook, training$no_training) newdat

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