level a A chi-square test of significance is being used at 0.001 to determine if there is some relationship between two categorical variables. The following hypotheses are being tested: = Ho: There is no relationship between the two variables. α Ha : There is some relationship between the two variables. A chi-square test statistic is computed from a two- way table and the P-value is estimated as follows: 0.001 < P < 0.0025. What is the conclusion of the test? The data is significant at level 0.001: we reject the null hypothesis that these variables

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level a
A chi-square test of significance is being used at
0.001 to determine if there is some
relationship between two categorical variables. The
following hypotheses are being tested:
=
Ho: There is no relationship between the two
variables.
α
Ha : There is some relationship between the two
variables.
A chi-square test statistic is computed from a two-
way table and the P-value is estimated as follows:
0.001 < P < 0.0025.
What is the conclusion of the test?
The data is significant at level 0.001: we
reject the null hypothesis that these variables
are unrelated and conclude this data supports
the alternative hypothesis that there is
some relationship between the two variables.
The data is significant at level 0.001: we
accept the null hypothesis that these
variables are unrelated.
The data is not significant at level 0.001: we
fail to reject the null hypothesis that these
variables are unrelated.
The data is not significant at level 0.001: we
accept the null hypothesis that these
variables are unrelated.
Transcribed Image Text:level a A chi-square test of significance is being used at 0.001 to determine if there is some relationship between two categorical variables. The following hypotheses are being tested: = Ho: There is no relationship between the two variables. α Ha : There is some relationship between the two variables. A chi-square test statistic is computed from a two- way table and the P-value is estimated as follows: 0.001 < P < 0.0025. What is the conclusion of the test? The data is significant at level 0.001: we reject the null hypothesis that these variables are unrelated and conclude this data supports the alternative hypothesis that there is some relationship between the two variables. The data is significant at level 0.001: we accept the null hypothesis that these variables are unrelated. The data is not significant at level 0.001: we fail to reject the null hypothesis that these variables are unrelated. The data is not significant at level 0.001: we accept the null hypothesis that these variables are unrelated.
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