Use =PERCENTILE.EXC and QUARTILE.EXC functions in Excel to complete this question. See the help videos. You work for a large farm with many fields of corn. You are investigating the mass of a sample of ears of corn. You gather the following data: Mass(g) of ears of corn 658 441.2 415.6 676.6 647.5 753 Checksum: 7356.7 586.6 610.7 478 652.5 428.6 487.9 520.5 Click Download CSV to download csv file of data. After downloading the file, you may want to save it as an Excel Workbook (that is, .xlsx file type). Some of the masses in the sample seem much larger than the rest. You decide to make several calculations describing the "spread" of the data set. You hope to use them to help in the search for outliers. Report your answer with all the decimal places. Find the following: a. The 36th percentile of these mass data 498. X b. IQR 174. X c. Apply the 1.5 IQR rule to search for outliers. Report the lower and upper cutoffs. Lower: 216.: X Upper: 914.: X d. Are there any outliers by the 1.5 IQR rule? No, because ALL the data values are between Lower and Upper values computed above. Yes, because NOT ALL the data values are between Lower and Upper values computed above.
Use =PERCENTILE.EXC and QUARTILE.EXC functions in Excel to complete this question. See the help videos. You work for a large farm with many fields of corn. You are investigating the mass of a sample of ears of corn. You gather the following data: Mass(g) of ears of corn 658 441.2 415.6 676.6 647.5 753 Checksum: 7356.7 586.6 610.7 478 652.5 428.6 487.9 520.5 Click Download CSV to download csv file of data. After downloading the file, you may want to save it as an Excel Workbook (that is, .xlsx file type). Some of the masses in the sample seem much larger than the rest. You decide to make several calculations describing the "spread" of the data set. You hope to use them to help in the search for outliers. Report your answer with all the decimal places. Find the following: a. The 36th percentile of these mass data 498. X b. IQR 174. X c. Apply the 1.5 IQR rule to search for outliers. Report the lower and upper cutoffs. Lower: 216.: X Upper: 914.: X d. Are there any outliers by the 1.5 IQR rule? No, because ALL the data values are between Lower and Upper values computed above. Yes, because NOT ALL the data values are between Lower and Upper values computed above.
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.2: Representing Data
Problem 4CYU
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Transcribed Image Text:Use =PERCENTILE.EXC and QUARTILE.EXC functions in Excel to complete this question. See the help
videos.
You work for a large farm with many fields of corn. You are investigating the mass of a sample of ears of
corn. You gather the following data:
Mass(g) of ears of corn
658 441.2 415.6
676.6 647.5 753
Checksum: 7356.7
586.6 610.7
478 652.5
428.6
487.9
520.5
Click Download CSV to download csv file of data. After downloading the file, you may want to save it as
an Excel Workbook (that is, .xlsx file type).
Some of the masses in the sample seem much larger than the rest. You decide to make several calculations
describing the "spread" of the data set. You hope to use them to help in the search for outliers.
Report your answer with all the decimal places.
Find the following:
a. The 36th percentile of these mass data 498. X
b. IQR 174. X
c. Apply the 1.5 IQR rule to search for outliers. Report the lower and upper cutoffs.
Lower: 216.: X Upper: 914.: X
d. Are there any outliers by the 1.5 IQR rule?
No, because ALL the data values are between Lower and Upper values computed above.
Yes, because NOT ALL the data values are between Lower and Upper values computed above.
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