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Dataset Tipping Data Description

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Computer Science
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Schiller International University
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Dataset Tipping Data Student’s Name Institutional Affiliation Description of Dataset    The dataset contains recorded information about each tip attained of a few months working in one restaurant. There are numerous variables collected. The data frame comprised 244 observations on the following seven variables; bill, tip, gender, smoker, weekday, time, and party size. Format of the Dataset  The weekday is a factor with levels Thursday, Friday, Saturday, and days (days of the week).  Time is a factor level of day and night (mostly the rough time of the day).  The size is a numeric vector that represents the number of people in the party.  This TIPS dataset in package reshapes transformed to entail the total bill. Assumptions made on Dataset  There are numerous assumptions made in this dataset.  For instance, the food server’s tips in this cay are influenced by the nature of the restaurant and the size of the party.  Another assumption made is that the table locations in the restaurant were not highly spaced.  It was also thought that the servers knew where to assign tables to the party participants. Assumptions made on Dataset  In this dataset, there is a huge correlation between bill size and tip as well as tip and group size.  There is a moderate correlation between service quality and dollar tip (Conlin, Lynn, & O’Donoghue, 2003).  However, from the data presented, service quality depends on the se ...
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