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and tp (in %) was recorded Summary statistics: Std. dev. Median Range Min Max 01 03 1QR Tip 41 18.302034 7.8254588 17.844456 44.112288 5.8837123 49.996 14.082245 21.236703 7.154458 equency a Identify the vanable b. Identfy the sample ewrte a su mry about yor hig-guen the desepte stats and-hetogram by tonnentingonalwec r, and spread ofthe data wn. ts report in a way fat ryone can seadaand ind stand what t understand the numbers you use in your summary d. What is the value of the thard quarsle e. To descibe the spread of the data would you report the tange or of restaurant ipping data? Interpeet the meaning within the context of the problem the IQR? Why? Please help explain this graph
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a) Restaurant tipping is the variable which is taken on x-axis in histogram.

b) sample size n = 41

c) A histogram is a plot that lets you discover, and show, the underlying frequency distribution (shape) of a set of continuous data. This allows the inspection of the data for its underlying distribution (e.g., normal distribution), outliers, skewness, etc.

Here mean= 18.302034

The Histogram graph gives a quick visual summary of the data. It is easy to see that the average tipping is around 18.302034. figure has no shape that can be defined. The only defining characteristic about this distribution is that it has 2 peaks of the same height. This means that the distribution is bimodal.

Median = 17.844456

The median is the middle value; uniformly spread data will provide that the area of the histogram on each side of the median will be equal.

Range = 44.112288

the range of a set of data is the difference between the largest and smallest values of Restaurant tipping where minimum value= 5.88 & maximum value = 49.996

d) value of third quartile Q3 = 21.23 which devided the whole data into four equal parts.

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