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. males has first quartile Q 1 = 67 in. and third quartile Q 3 = 71 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. males has first quartile Q 1 = 67 in. and third quartile Q 3 = 71 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. males has first quartile Q 1 = 67 in. and third quartile Q 3 = 71 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. males has first quartile Q 1 = 67 in. and third quartile Q 3 = 71 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 Outlier.
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. males has first quartile
Q
1
=
67
in. and third quartile
Q
3
=
71
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. males has first quartile
Q
1
=
67
in. and third quartile
Q
3
=
71
in. Using the preceding definition, determine which heights correspond to outliers.
During busy political seasons, many opinion polls are conducted. In apresidential race, how do you think the participants in polls are generally selected?Discuss any issues regarding simple random, stratified, systematic, cluster, andconvenience sampling in these polls. What about other types of polls, besides political?
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