Basketball players can take shots worth 3 points, 2 points, or 1 point. A scout is assessing two players- Tabitha and Lauren-who play for different teams in different leagues. The scout wonders if they have similar or different shot selections. They take a random sample of Tabitha's games and a separate random sample of Lauren's games. They tally how many of each type of shot the players attempted in those games. Here is a summary and the results of a chi-square test: Chi-square test: Shot vs. player Tabitha Lauren 3-point 8 12 Expected 10.34 9.66 2-point 40 37 Expected 39.83 37.17 1 point 12 7. Expected 9.83 9.17 = 2.097, DF 2, P-value = 0.350 Assume that all conditions for inference were met. At the a=0.05 significance level, what is the most appropriate conclusion to draw from this test? O This is convincing evidence that the distribution of shot type differs between Tabitha and Lauren. O They lack evidence to say that shot type and player are not independent. O This is convincing evidence that shot type and player are not independent. O This isn't enough evidence to say that the distribution of shot type differs between Tabitha and Lauren.

Basketball players can take shots worth 3 points, 2 points, or 1 point. A scout is assessing two players- Tabitha and Lauren-who play for different teams in different leagues. The scout wonders if they have similar or different shot selections. They take a random sample of Tabitha's games and a separate random sample of Lauren's games. They tally how many of each type of shot the players attempted in those games. Here is a summary and the results of a chi-square test: Chi-square test: Shot vs. player Tabitha Lauren 3-point 8 12 Expected 10.34 9.66 2-point 40 37 Expected 39.83 37.17 1 point 12 7. Expected 9.83 9.17 = 2.097, DF 2, P-value = 0.350 Assume that all conditions for inference were met. At the a=0.05 significance level, what is the most appropriate conclusion to draw from this test? O This is convincing evidence that the distribution of shot type differs between Tabitha and Lauren. O They lack evidence to say that shot type and player are not independent. O This is convincing evidence that shot type and player are not independent. O This isn't enough evidence to say that the distribution of shot type differs between Tabitha and Lauren.

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Description: Basketball players can take shots worth 3 points, 2 points, or 1 point. A scout is assessing two players-Tabitha and Lauren-who play for different teams in different leagues. The scout wonders if they havesimilar or different shot selections. They t

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Concept explainers

Types of Bias

Statistics is the study of data collection, organization, analysis, interpretation, and presentation. Statistical bias is a characteristic of a statistical technique or its findings in which the expected value deviates from the actual root quantitative parameter being estimated. According to the actual definition of bias, it refers to the tendency of a statistic to overestimate or underestimate a parameter.

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Question

Basketball players can take shots worth 3 points, 2 points, or 1 point. A scout is assessing two players-
Tabitha and Lauren-who play for different teams in different leagues. The scout wonders if they have
similar or different shot selections. They take a random sample of Tabitha's games and a separate random
sample of Lauren's games. They tally how many of each type of shot the players attempted in those games.
Here is a summary and the results of a chi-square test:
Chi-square test: Shot vs.
player
Tabitha
Lauren
3-point
8
12
Expected
10.34
9.66
2-point
40
37
Expected
39.83
37.17
1 point
12
7.
Expected
9.83
9.17
X=2.097, DF 2, P-value 0.350
Assume that all conditions for inference were met.
At the a=0.05 significance level, what is the most appropriate conclusion to draw from this test?
O This is convincing evidence that the distribution of shot type differs between Tabitha and Lauren.
O They lack evidence to say that shot type and player are not independent.
O This is convincing evidence that shot type and player are not independent.
O This isn't enough evidence to say that the distribution of shot type differs between Tabitha and Lauren.

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Basketball players can take shots worth 3 points, 2 points, or 1 point. A scout is assessing two players- Tabitha and Lauren-who play for different teams in different leagues. The scout wonders if they have similar or different shot selections. They take a random sample of Tabitha's games and a separate random sample of Lauren's games. They tally how many of each type of shot the players attempted in those games. Here is a summary and the results of a chi-square test: Chi-square test: Shot vs. player Tabitha Lauren 3-point 8 12 Expected 10.34 9.66 2-point 40 37 Expected 39.83 37.17 1-point 12 Expected 9.83 9.17 x² = 2.097, DF = 2, P-value = 0.350 %3D Assume that all conditions for inference were met. At the a = 0.05 significance level, what is the most appropriate conclusion to draw from this test? Choose 1 answer: This is convincing evidence that the distribution of shot type differs between Tabitha and Lauren.
When reading a problem, one must be aware of the sample size to determine if it is a Z-score or T-score problem. True or false