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The following data were collected as part of a study of coffee consumption among medical students. The following reflect cups per day consumed: First, put the data in order from lowest to highest: 0, 1, 2, 2, 3, 4, 6, 8 This will help you to find the median and the quartiles! 1) Compute the sample mean and round to ane decimal place (see page 100 2) Compute the sample median and round to one decimal place (see page 88). 3) Compute the sample standard deviation and round to one decimal place. I have computed the sam .36 (see page 110). (see page 88-91 for quartiles and outliers) The interquartile the third quartile (Q3) and the first quartile (Q1). IOR sa run ber that idicates the spread of the middle half or the middle 50% of the data. It is the difference between Q3-01 The IQR can help to determine potential outliers. A value more than (1.50QR) above the third quartile. Potential outliers always require further investigation. 4 Compute the first quartile and round to one decimal place 5) Compute the third quartile and round to one decimal place. is suspected to be a potential outlier if it is less than (1.5)00R) below the first quartile or 6) Compute the interquartile range and round to one decimal place. 7) Using the interquartile range, calculate for outliers and round to two decimal places. 8) Using the interquartile range, calculate for outliers and round to two decimal places. 9) Are there any outliers? Yes or no?
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