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Count gender* NYHA Crosstabulation NYHA 1 2 3 4 Total gender F 1224 1237 1273 1262 4996 M 1247 1238 1286 1233 5004 Total 2471 2475 2559 2495 10000 Chi-Square Tests Asymptotic Significance Value df (2-sided) Pearson Chi-Square .611a 3 .894 Likelihood Ratio .611 3 .894 N of Valid Cases 10000 a. O cells (0.0%) have expected count less than 5. The minimum expected count is 1234.51.

Count gender* NYHA Crosstabulation NYHA 1 2 3 4 Total gender F 1224 1237 1273 1262 4996 M 1247 1238 1286 1233 5004 Total 2471 2475 2559 2495 10000 Chi-Square Tests Asymptotic Significance Value df (2-sided) Pearson Chi-Square .611a 3 .894 Likelihood Ratio .611 3 .894 N of Valid Cases 10000 a. O cells (0.0%) have expected count less than 5. The minimum expected count is 1234.51.

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Question 1: What is the null hypothesis in the test we have just performed? Would we accept the null hypothesis in this test? Why or why not? Using yates method

Count gender* NYHA Crosstabulation NYHA 1 2 3 4 Total gender F 1224 1237 1273 1262 4996 M 1247 1238 1286 1233 5004 Total 2471 2475 2559 2495 10000 Chi-Square Tests Asymptotic Significance Value df (2-sided) Pearson Chi-Square .611a 3 .894 Likelihood Ratio .611 3 .894 N of Valid Cases 10000 a. O cells (0.0%) have expected count less than 5. The minimum expected count is 1234.51.
Transcribed Image Text:Count gender* NYHA Crosstabulation NYHA 1 2 3 4 Total gender F 1224 1237 1273 1262 4996 M 1247 1238 1286 1233 5004 Total 2471 2475 2559 2495 10000 Chi-Square Tests Asymptotic Significance Value df (2-sided) Pearson Chi-Square .611a 3 .894 Likelihood Ratio .611 3 .894 N of Valid Cases 10000 a. O cells (0.0%) have expected count less than 5. The minimum expected count is 1234.51.
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