The following numbers of people attended the last 10 screenings of a movie. 196, 198, 199, 203, 203, 205, 206, 207, 208, 210 Complete the parts below to identify any outliers. (a) Let Q₁ be the lower quartile and Q3 be the upper quartile of the data set. Find 2₁ and 23 for the data set. 2₁ = 0 23= (b) Find the interquartile range (IQR) of the data set. IQR = X Lower boundary: Upper boundary: X (c) Calculate a lower boundary using Q₁-1.5-IQR. Calculate an upper boundary using Q3 +1.5-IQR. (Note th 1.5 IQR means 1.5 times the IQR.) X

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The following numbers of people attended the last 10 screenings of a movie.
196, 198, 199, 203, 203, 205, 206, 207, 208, 210
Complete the parts below to identify any outliers.
(a) Let Q₁ be the lower quartile and Q3 be the upper quartile of the data set. Find 2, and 23 for the data set.
2₁ = 0
23 = 0
(b) Find the interquartile range (IQR) of the data set.
IQR =
ation
Lower boundary:
Upper boundary:
X
Outliers:
X
(c) Calculate a lower boundary using Q₁-1.5 IQR. Calculate an upper boundary using 23 +1.5-IQR. (Note th
1.5 IQR means 1.5 times the IQR.)
2022 McGraw Hill
X
(d) Any values less than the lower boundary or greater than the upper boundary are considered outliers. Ident
the outliers of the data set. If there is more than one outlier, separate them with commas. If there are no
outliers, click "None".
0,0,...
S
X
S
None
Español
S
S
ed. Terms of Use | Privacy Center | Accessibility
Transcribed Image Text:The following numbers of people attended the last 10 screenings of a movie. 196, 198, 199, 203, 203, 205, 206, 207, 208, 210 Complete the parts below to identify any outliers. (a) Let Q₁ be the lower quartile and Q3 be the upper quartile of the data set. Find 2, and 23 for the data set. 2₁ = 0 23 = 0 (b) Find the interquartile range (IQR) of the data set. IQR = ation Lower boundary: Upper boundary: X Outliers: X (c) Calculate a lower boundary using Q₁-1.5 IQR. Calculate an upper boundary using 23 +1.5-IQR. (Note th 1.5 IQR means 1.5 times the IQR.) 2022 McGraw Hill X (d) Any values less than the lower boundary or greater than the upper boundary are considered outliers. Ident the outliers of the data set. If there is more than one outlier, separate them with commas. If there are no outliers, click "None". 0,0,... S X S None Español S S ed. Terms of Use | Privacy Center | Accessibility
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