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. This isn't enough evidence to say that the distribution of shot type differs between Tabitha and Lauren. This is convincing evidence that shot type and player are not independent. They lack evidence to say that shot type and player are not independent.

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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.
This isn't enough evidence to say that the distribution of shot type differs between Tabitha and
Lauren.
This is convincing evidence that shot type and player are not independent.
They lack evidence to say that shot type and player are not independent.
Transcribed Image Text: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. This isn't enough evidence to say that the distribution of shot type differs between Tabitha and Lauren. This is convincing evidence that shot type and player are not independent. They lack evidence to say that shot type and player are not independent.
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.
Transcribed Image Text: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.
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