he National Football League (NFL) holds its annual draft of the nation's best college football players in April each year. Prior to the draft, various s ach will be selected in what are called mock drafts. Players who are considered to have superior potential as professional football players are sele ervice of what position in the first round players from the Atlantic Coast Conference, the Big Ten Conference, the PAC-12 Conference, and the Sou ACC Big Ten PAC-12 SEC College Attended Projected Draft Projected Draft College Attended Projected Draft College Attended Projected Draft College Attended Position Position Position Position Florida State Iowa USC Florida 1 Clemson 5. Michigan St 10 Oregon Alabama 3. Miami 9. Nebraska 14 Oregon 15 Kentucky Georgia Tech 11 Minnesota 28 Washington 18 Texas A&M 12 Louisville 16 Wisconsin 29 UCLA 19 Missouri 13 Wake Forest 20 UCLA 21 Alabama 17 Florida State 22 Stanford 23 LSU 25 Virginia Tech 26 Arizona St 24 LSU 27 Use the Kruskal-Wallis test to determine if there is any difference among NFL teams for players from these four conferences. Use a = 0.05. State the null and alternative hypotheses. O Ho: The populations for the mock draft positions of the four conferences are identical. H: The populations for the mock draft positions of the four conferences are not all identical. O Ho: Median H MedianACC= Mediangig Ten ACC Median Big Ten * MedianpAC-12 * MedianSEC = Median PAC-12 %23 = Mediansec %3D O H: Median Median gig Ten Median PAC-12 MediansEC %3D %3D ACC H: Median ACC Mediangig Ten < Median PAC-12 > MedianSEC O Ho: Median H: MedianACC * Median Big Ten Median pAC-12 = Median SEC Median PAC-12 ACC MediangBig Ten %3D + MedianSEC O Ho: The populations for the mock draft positions of the four conferences are not all identical. H The populations for the mock draft positions of the four conferences are identical.

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The second slide is the first part of the question  and the first slide is the second part of the question.

Find the value of the test statistic. (Round your answer to two decimal places.)
\[ \text{Value: } \_\_\_ \]

What is the \( p \)-value? (Round your answer to three decimal places.)
\[ p\text{-value: } \_\_\_ \]

What is your conclusion?

- O Reject \( H_0 \). There is sufficient evidence to conclude that there is a significant difference among NFL teams for players from these four conferences.
- O Do not reject \( H_0 \). There is sufficient evidence to conclude that there is a significant difference among NFL teams for players from these four conferences.
- O Do not reject \( H_0 \). There is not sufficient evidence to conclude that there is a significant difference among NFL teams for players from these four conferences.
- O Reject \( H_0 \). There is not sufficient evidence to conclude that there is a significant difference among NFL teams for players from these four conferences.
Transcribed Image Text:Find the value of the test statistic. (Round your answer to two decimal places.) \[ \text{Value: } \_\_\_ \] What is the \( p \)-value? (Round your answer to three decimal places.) \[ p\text{-value: } \_\_\_ \] What is your conclusion? - O Reject \( H_0 \). There is sufficient evidence to conclude that there is a significant difference among NFL teams for players from these four conferences. - O Do not reject \( H_0 \). There is sufficient evidence to conclude that there is a significant difference among NFL teams for players from these four conferences. - O Do not reject \( H_0 \). There is not sufficient evidence to conclude that there is a significant difference among NFL teams for players from these four conferences. - O Reject \( H_0 \). There is not sufficient evidence to conclude that there is a significant difference among NFL teams for players from these four conferences.
**Educational Website Transcription:**

### Analyzing NFL Draft Projections Using the Kruskal-Wallis Test

**Introduction:**
The National Football League (NFL) holds its annual draft to select the top college football players. Before the draft, scouting services predict players' draft positions. This analysis looks into potential differences in players' selections across four conferences.

**Objective:**
Use the Kruskal-Wallis test to determine if there's any significant difference in NFL draft positions across four conferences: ACC, Big Ten, PAC-12, and SEC.

**Hypotheses:**
- \( H_0 \): The populations for the mock draft positions of the four conferences are identical.
- \( H_a \): The populations for the mock draft positions of the four conferences are not all identical.

**Significance Level:**
Use \(\alpha = 0.05\).

**Mock Draft Data:**

| College Attended | ACC     | Projected Draft Position | Big Ten  | Projected Draft Position | PAC-12   | Projected Draft Position | SEC       | Projected Draft Position |
|------------------|---------|--------------------------|----------|--------------------------|----------|--------------------------|-----------|--------------------------|
| Virginia Tech    | Clemson | 26                       | Iowa     | 4                        | Arizona  | 15                       | Florida   | 8                        |
| Wake Forest      | Miami   | 20                       | Michigan St. | 9                     | Stanford | 22                       | Kentucky  | 3                        |
| Florida State    | Louisville | 22                    | Wisconsin | 12                     | UCLA     | 16                       | Alabama   | 1                        |
| Georgia Tech     |         | 11                       | Minnesota | 10                     | Washington | 7                      | Texas A&M | 13                       |
|                  | Syracuse |                         |          |                         | Oregon   | 11                       | Missouri  | 12                       |
|                  | Boston College | 23               |          |                         | Oregon St.| 24                      | Alabama   | 17                       |
|                  | NC State | 14                      |          |                         |          |                         | LSU       | 25                       |

**Analysis:**
This analysis employs the Kruskal-Wallis test, a non-parametric method, to detect differences in central tendency among the groups. It assesses whether the draft positions for players from these conferences are similarly distributed or not
Transcribed Image Text:**Educational Website Transcription:** ### Analyzing NFL Draft Projections Using the Kruskal-Wallis Test **Introduction:** The National Football League (NFL) holds its annual draft to select the top college football players. Before the draft, scouting services predict players' draft positions. This analysis looks into potential differences in players' selections across four conferences. **Objective:** Use the Kruskal-Wallis test to determine if there's any significant difference in NFL draft positions across four conferences: ACC, Big Ten, PAC-12, and SEC. **Hypotheses:** - \( H_0 \): The populations for the mock draft positions of the four conferences are identical. - \( H_a \): The populations for the mock draft positions of the four conferences are not all identical. **Significance Level:** Use \(\alpha = 0.05\). **Mock Draft Data:** | College Attended | ACC | Projected Draft Position | Big Ten | Projected Draft Position | PAC-12 | Projected Draft Position | SEC | Projected Draft Position | |------------------|---------|--------------------------|----------|--------------------------|----------|--------------------------|-----------|--------------------------| | Virginia Tech | Clemson | 26 | Iowa | 4 | Arizona | 15 | Florida | 8 | | Wake Forest | Miami | 20 | Michigan St. | 9 | Stanford | 22 | Kentucky | 3 | | Florida State | Louisville | 22 | Wisconsin | 12 | UCLA | 16 | Alabama | 1 | | Georgia Tech | | 11 | Minnesota | 10 | Washington | 7 | Texas A&M | 13 | | | Syracuse | | | | Oregon | 11 | Missouri | 12 | | | Boston College | 23 | | | Oregon St.| 24 | Alabama | 17 | | | NC State | 14 | | | | | LSU | 25 | **Analysis:** This analysis employs the Kruskal-Wallis test, a non-parametric method, to detect differences in central tendency among the groups. It assesses whether the draft positions for players from these conferences are similarly distributed or not
Expert Solution
Step 1

Given Information : 

The National Football League (NFL) at the a g e s Anach year to the da t ing news Services project the players who will be drafted along with the order in which each will be selected in what are called mock des Players who we condered to have w e a polesaltooth e rs are wected earlier in the deal. Suppose the following table shows prosections by one mock draft service of what position in the first round players from the Atlantic Coast Conference, the big Ten Conference, the PAC-12 Conference, and the Southern Conference will be seated PAC 12 Projected College College bra Antended Position Floride Alabama . 

First, all the data needs to be put together in one column as shown below:

Sample Value
1 4
1 5
1 9
1 11
1 16
1 20
1 22
1 26
2 6
2 10
2 14
2 28
2 29
3 2
3 7
3 15
3 18
3 19
3 21
3 23
3 24
4 1
4 3
4 8
4 12
4 13
4 17
4 25
4 27

Now, the data needs to be organized in ascending order by value (keeping track of what sample the values belongs to). The results are shown below:

Sample Value (In Asc. Order)
4 1
3 2
4 3
1 4
1 5
2 6
3 7
4 8
1 9
2 10
1 11
4 12
4 13
2 14
3 15
1 16
4 17
3 18
3 19
1 20
3 21
1 22
3 23
3 24
4 25
1 26
4 27
2 28
2 29

 

Step 2

Now, we need to assign ranks to the values that are already organized in ascending order. Make sure that take the average of ranks in case of rank ties (Ex. If two values shared the first place in the list, instead of assigning rank 1 and rank 2 to them, assign rank 1.5 to both) The following ranks are obtained:

Sample Value (In Asc. Order) Rank Rank (Adjusted for ties)
4 1 1 1
3 2 2 2
4 3 3 3
1 4 4 4
1 5 5 5
2 6 6 6
3 7 7 7
4 8 8 8
1 9 9 9
2 10 10 10
1 11 11 11
4 12 12 12
4 13 13 13
2 14 14 14
3 15 15 15
1 16 16 16
4 17 17 17
3 18 18 18
3 19 19 19
1 20 20 20
3 21 21 21
1 22 22 22
3 23 23 23
3 24 24 24
4 25 25 25
1 26 26 26
4 27 27 27
2 28 28 28
2 29 29 29

In order to compute the sum of rank for each sample, it is easier to organize the above table by samples. The following is obtained:

Sample Value Rank (Adjusted for ties)
1 4 4
1 5 5
1 9 9
1 11 11
1 16 16
1 20 20
1 22 22
1 26 26
2 6 6
2 10 10
2 14 14
2 28 28
2 29 29
3 2 2
3 7 7
3 15 15
3 18 18
3 19 19
3 21 21
3 23 23
3 24 24
4 1 1
4 3 3
4 8 8
4 12 12
4 13 13
4 17 17
4 25 25
4 27 27

With the information provided we can now easily compute the sum of ranks for each of the samples:

R1 = 4 + 5 + 9 + 11 + 16 + 20 + 22 + 26 = 113

R2 = 6 + 10 + 14 + 28 + 29 = 87

R3 = 2 + 7 + 15 + 18 + 19 + 21 + 23 + 24 = 129

R4 = 1 + 3 + 8 + 12 + 13 + 17 + 25 + 27 = 106 

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