For a local basketball league, there were 10 teams whose players were assigned to a team based on their score on an abilities test. Those results are given below. Team 1 Team 2 Team 3 Team 4 Team 5 Team 6 Team 7 Team 8 Team 9 Team 10 87 98 103 105 90 108 94 108 97 109 81 91 80 87 78 91 82 89 90 87 70 85 78 77 77 77 76 76 86 76 64 82 77 74 72 67 75 72 73 69 63 76 64 62 70 60 66 66 69 68 62 56 63 57 64 58 62 63 66 67 56 48 55 56 57 54 55 51 58 57 55 44 48 53 52 53 49 49 50 56 52 42 42 47 39 47 46 46 48 56 40 44 The summary statistics are: SUMMARY Groups Count Sum Average Variance Team 1 9 590 65.55556 140.7778 Team 2 9 622 69.11111 470.3611 Team 3 9 610 67.77778 354.4444 Team 4 9 618 68.66667 351.25 Team 5 9 599 66.55556 237.5278 Team 6 9 615 68.33333 404.5 Team 7 9 605 67.22222 254.1944 Team 8 9 620 68.88889 409.6111 Team 9 10 677 67.7 365.1222 Team 10 10 689 68.9 342.7667 From just looking at the summary data, what conclusions might you draw? (You may want to talk about average and/or variance) Here is the ANOVA Table ANOVA Source of Variation SS df MS F P-value F crit Between Groups 109.3514 9 12.15016 0.036425 0.999994 1.996141 Within Groups 27352.33 82 333.565 Total 27461.68 91 What conclusion is supported by the ANOVA analysis?

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Related questions

Concept explainers

Topic Video

Question

For a local basketball league, there were 10 teams whose players were assigned to a team based on their score on an abilities test. Those results are given below.

Team 1	Team 2	Team 3	Team 4	Team 5	Team 6	Team 7	Team 8	Team 9	Team 10
87	98	103	105	90	108	94	108	97	109
81	91	80	87	78	91	82	89	90	87
70	85	78	77	77	77	76	76	86	76
64	82	77	74	72	67	75	72	73	69
63	76	64	62	70	60	66	66	69	68
62	56	63	57	64	58	62	63	66	67
56	48	55	56	57	54	55	51	58	57
55	44	48	53	52	53	49	49	50	56
52	42	42	47	39	47	46	46	48	56
								40	44

The summary statistics are:

SUMMARY
Groups	Count	Sum	Average	Variance
Team 1	9	590	65.55556	140.7778
Team 2	9	622	69.11111	470.3611
Team 3	9	610	67.77778	354.4444
Team 4	9	618	68.66667	351.25
Team 5	9	599	66.55556	237.5278
Team 6	9	615	68.33333	404.5
Team 7	9	605	67.22222	254.1944
Team 8	9	620	68.88889	409.6111
Team 9	10	677	67.7	365.1222
Team 10	10	689	68.9	342.7667

From just looking at the summary data, what conclusions might you draw? (You may want to talk about average and/or variance)

Here is the ANOVA Table

ANOVA
Source of Variation	SS	df	MS	F	P-value	F crit
Between Groups	109.3514	9	12.15016	0.036425	0.999994	1.996141
Within Groups	27352.33	82	333.565

Total	27461.68	91

What conclusion is supported by the ANOVA analysis?

Expert Solution

Trending now

This is a popular solution!

Step by step

Solved in 2 steps

SEE SOLUTION Check out a sample Q&A here

Knowledge Booster

$Data Collection, Sampling Methods, and Bias$

Learn more about

Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.

Similar questions