Which of the following is correct? Select one:
a. The data set 100, 200, 300 has the same variance as the data
set 150, 250, 350.
b. If two data sets have the same range, both sets will have the
same interquartile range.
c. Pie and bar charts are graphical techniques for nominal data.
The former focuses the attention on the frequency of the
occurrences of each category, and the latter emphasizes the
proportion of occurrences of each category
d....
Select any data set . Use the method of Sections 6-6 to
construct a histogram and normal quartile plot, then determine
whether the data set appears to come from a normally distributed
population.
Which is a good definition of an outlier? (Select all that
apply)A data point outside the confidence intervalA data point that greatly influences the regression lineValues for individual explanatory variables that fall outside
the general pattern of the other observationsAn extreme value for a few variables
Given the data set: 72.51, 72.61, 73.67, 72.55,
identify/calculate:
a) the suspected outlier
b) the absolute value of “suspect value – average value”
c) the absolute standard deviation
d) G calculated
e) G reference
f) May we reject the suspect value?
The following bivariate data set contains an outlier.
x
y
28.5
59.3
-6.4
-356.8
29.7
81.6
23.9
1298
23.4
1724.5
-11.9
303
12.3
-810.6
46.3
-628.5
24.7
1557.2
14.4
394.8
7.8
-1789.2
6
-1949.6
30.8
2369.6
28.5
1974.8
220.9
37.7
What is the correlation coefficient with the
outlier?
rw =
What is the correlation coefficient without the
outlier?
rwo =
Would inclusion of the outlier change the evidence for or against a
significant linear correlation?
Yes. Including the outlier changes...
The following bivariate data set contains an outlier.
x
y
47.6
53.7
40.6
112.6
28.9
72.2
36.1
101.1
32.4
112.4
26.8
67.1
36.8
38.9
33.1
70.1
67.5
8.6
43.3
-6.4
50.1
41.3
30.1
3.2
29.8
41.7
55
-32.8
189.6
548.8
What is the correlation coefficient with the
outlier?
rw =
What is the correlation coefficient without the
outlier?
rwo =
Would inclusion of the outlier change the evidence for or against a
significant linear correlation at 5% significance?
A) No....
The following bivariate data set contains an outlier.
x y
89.1 -294.6
75.3 273.5
90.4 -222.1
79.9 111.5
80.5 685.1
84.7 -193.8
67.6 -259.6
84.5 559.5
73.4 521.2
87.7 -444
91.2 -303.4
87.5 642
72.8 -25.8
67.6 530.6
162 315.7
What is the correlation coefficient with the outlier?
rw =
What is the correlation coefficient without the outlier?
rwo =
Would inclusion of the outlier change the evidence for or against a
significant linear correlation?
No. Including the outlier does...
The following bivariate data set contains an outlier.
x
y
12.9
79.8
51.9
77.6
26.3
66.5
-5.1
82.9
47
65.4
19.7
75.9
16.7
78.4
2.1
77.1
21.5
74.5
46.2
57.3
35.1
65.4
83.5
38.9
51.1
61.7
15.2
89.3
349.3
240.5
What is the correlation coefficient with the
outlier?
rw =
What is the correlation coefficient without the
outlier?
rwo =
Would inclusion of the outlier change the evidence for or against a
significant linear correlation at 5% significance?
No. Including...
the following bivariate data set contains an outlier.
x
y
27.7
12.9
29
13.9
33.1
7.6
31.7
48.2
32.3
12.4
31.1
32.9
29
22.4
35.2
29.5
47.2
62.3
31.7
21.9
27.6
20.4
29.2
16.9
37.6
54.2
34.1
27.7
106
-156.5
What is the correlation coefficient with the
outlier?
rw =
What is the correlation coefficient without the
outlier?
rwo =