For Exercises 51 through 54 , you should use the following definition of an outlier: An outlier is any data value that is above the third quartile by more than 1.5 times the IQR [Outlier> Q 3 + l.5(IQR)] or below the first quartile by more than 1.5 times the IQR [Outlier < Q 1 − 1.5 (IQR)]. (Note: There is no one universally agreed upon definition of an outlier; this is but one of several definitions used by statisticians.) The distribution of the heights (in inches) of 18-year-old U.S. females has first quartile Q 1 = 62.5 in. and third quartile Q 3 = 66 in. Using the preceding definition, determine which heights correspond to outliers. For Exercises 51 through 54 , you should use the following definition of an outlier: An outlier is any data value that is above the third quartile by more than 1.5 times the IQR [Outlier> Q 3 + l.5(IQR)] or below the first quartile by more than 1.5 times the IQR [Outlier < Q 1 − 1.5 (IQR)]. (Note: There is no one universally agreed upon definition of an outlier; this is but one of several definitions used by statisticians.) The distribution of the heights (in inches) of 18-year-old U.S. females has first quartile Q 1 = 62.5 in. and third quartile Q 3 = 66 in. Using the preceding definition, determine which heights correspond to outliers.
For Exercises 51 through 54 , you should use the following definition of an outlier: An outlier is any data value that is above the third quartile by more than 1.5 times the IQR [Outlier> Q 3 + l.5(IQR)] or below the first quartile by more than 1.5 times the IQR [Outlier < Q 1 − 1.5 (IQR)]. (Note: There is no one universally agreed upon definition of an outlier; this is but one of several definitions used by statisticians.) The distribution of the heights (in inches) of 18-year-old U.S. females has first quartile Q 1 = 62.5 in. and third quartile Q 3 = 66 in. Using the preceding definition, determine which heights correspond to outliers. For Exercises 51 through 54 , you should use the following definition of an outlier: An outlier is any data value that is above the third quartile by more than 1.5 times the IQR [Outlier> Q 3 + l.5(IQR)] or below the first quartile by more than 1.5 times the IQR [Outlier < Q 1 − 1.5 (IQR)]. (Note: There is no one universally agreed upon definition of an outlier; this is but one of several definitions used by statisticians.) The distribution of the heights (in inches) of 18-year-old U.S. females has first quartile Q 1 = 62.5 in. and third quartile Q 3 = 66 in. Using the preceding definition, determine which heights correspond to outliers.
Solution Summary: The author explains that an outlier is any data value that is above the third quartile by more than 1.5 times the IQR and 62.5 for Q_1.
For Exercises 51 through 54, you should use the following definition of an outlier: An outlier is any data value that is above the third quartile by more than 1.5 times the IQR [Outlier>
Q
3
+ l.5(IQR)] or below the first quartile by more than 1.5 times the IQR [Outlier <
Q
1
−
1.5
(IQR)]. (Note: There is no one universally agreed upon definition of an outlier; this is but one of several definitions used by statisticians.)
The distribution of the heights (in inches) of 18-year-old U.S. females has first quartile
Q
1
=
62.5
in. and third quartile
Q
3
=
66
in. Using the preceding definition, determine which heights correspond to outliers.
For Exercises 51 through 54, you should use the following definition of an outlier: An outlier is any data value that is above the third quartile by more than 1.5 times the IQR [Outlier>
Q
3
+ l.5(IQR)] or below the first quartile by more than 1.5 times the IQR [Outlier <
Q
1
−
1.5
(IQR)]. (Note: There is no one universally agreed upon definition of an outlier; this is but one of several definitions used by statisticians.)
The distribution of the heights (in inches) of 18-year-old U.S. females has first quartile
Q
1
=
62.5
in. and third quartile
Q
3
=
66
in. Using the preceding definition, determine which heights correspond to outliers.
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