Consider the following data set. Draw a dotplot for the given data set. 03 n = 10 measurements: 8, 5, 6, 9, 4, 5, 7, 8, 4, 6 03 . 4 + 4 USE SALT 5 5 6 · 6 7 7 . 8 : 8 9 ↑ 9 10 10 Ⓒ 4 . 5 6 . 7 . 8 9 Are the data mound-shaped? Can you use Tchebysheff's Theorem to describe the data? The Empirical Rule? Explain. O The data set is not mound-shaped. Hence we can use Empirical Rule, but not the Tchebysheff's Theorem to describe the data. O The data set is relatively mound-shaped. Hence we can use Tchebysheff's Theorem, but not the Empirical Rule to describe the data. O The data set is relatively mound-shaped. Hence we can use Empirical Rule, but not the Tchebysheff's Theorem to describe the data. O The data set is relatively mound-shaped. Hence you can use both Tchebysheff's Theorem and the Empirical Rule to describe the data. O The data set is not mound-shaped. Hence we can use Tchebysheff's Theorem, but not the Empirical Rule to describe the data. 10 Q 03 4 5 6 7 9 10
Consider the following data set. Draw a dotplot for the given data set. 03 n = 10 measurements: 8, 5, 6, 9, 4, 5, 7, 8, 4, 6 03 . 4 + 4 USE SALT 5 5 6 · 6 7 7 . 8 : 8 9 ↑ 9 10 10 Ⓒ 4 . 5 6 . 7 . 8 9 Are the data mound-shaped? Can you use Tchebysheff's Theorem to describe the data? The Empirical Rule? Explain. O The data set is not mound-shaped. Hence we can use Empirical Rule, but not the Tchebysheff's Theorem to describe the data. O The data set is relatively mound-shaped. Hence we can use Tchebysheff's Theorem, but not the Empirical Rule to describe the data. O The data set is relatively mound-shaped. Hence we can use Empirical Rule, but not the Tchebysheff's Theorem to describe the data. O The data set is relatively mound-shaped. Hence you can use both Tchebysheff's Theorem and the Empirical Rule to describe the data. O The data set is not mound-shaped. Hence we can use Tchebysheff's Theorem, but not the Empirical Rule to describe the data. 10 Q 03 4 5 6 7 9 10
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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Transcribed Image Text:Consider the following data set.
Draw a dotplot for the given data set.
03
n = 10 measurements: 8, 5, 6, 9, 4, 5, 7, 8, 4, 6
03
.
4
+
4
USE SALT
5
5
6
·
6
7
7
.
8
:
8
9
↑
9
10
10
Ⓒ
4
.
5
6
.
7
.
8
9
Are the data mound-shaped? Can you use Tchebysheff's Theorem to describe the data? The Empirical Rule? Explain.
O The data set is not mound-shaped. Hence we can use Empirical Rule, but not the Tchebysheff's Theorem to describe the data.
O The data set is relatively mound-shaped. Hence we can use Tchebysheff's Theorem, but not the Empirical Rule to describe the data.
O The data set is relatively mound-shaped. Hence we can use Empirical Rule, but not the Tchebysheff's Theorem to describe the data.
O The data set is relatively mound-shaped. Hence you can use both Tchebysheff's Theorem and the Empirical Rule to describe the data.
O The data set is not mound-shaped. Hence we can use Tchebysheff's Theorem, but not the Empirical Rule to describe the data.
10
Q
03
4
5
6
7
9
10
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