(c sible presence of outliers. 2-34. An article in the Transactions of the Institution of Chemical Engineers (Vol. 34, 1

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(c sible presence of outliers. 2-34. An article in the Transactions of the Institution of Chemical Engineers (Vol. 34, 1

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C Sible Presence Of Outliers 2 34 An Article In The Transactions Of The Institution Of Chemical Engineers Vol 34 1 1
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(c sible presence of outliers. 2-34. An article in the Transactions of the Institution of Chemical Engineers (Vol. 34, 1956, pp. 280-293) reported data from an experiment investigating the effect of several process variables on the vapor phase oxidation of naphthalene. A sample of the percentage mole conversion of naphthalene to maleic anhydride follows: 4.2, 4.7, 4.7, 5.0, 3.8, 3.6, 3.0, 5.1, 3.1, 3.8, 4.8, 4.0, 5.2, 4.3, 2.8, 2.0, 2.8, 3.3, 4.8, and 5.0. 2 th fc

(a) Calculate the sample mean. (b) Calculate the sample variance and sample standard deviat (c) Construct a box plot of the data. 1 ut inition time" of an automobile en

Chapter 2 Exercise 2-34 (Kindly complete parts a and b by ONLY using HAND calculations for the Mean and the Standard deviation. For part c calculate all the quantities shown in Figure 2-12 and draw the required Box Plot and Identify and State if there are Outliers of Extreme Outlies in this data set).

Whisker extends to smallest data point within 15 Interquartile ranges from first quartile Whisker tends to largest data point within 1.5 Interquartile ranges from third quartile First quartile Second quartile Third quartie Outlers Extreme outer Outiles Figure 2-12 Description of a box plot. -1.5 IQR -1.5 IQRIQR-1510-1.5 TOR
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