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This analysis investigates the correlation between anger levels (low, moderate, high) and the incidence of coronary heart disease (CHD) using the Chi-squared test for independence. The dataset highlights the number of individuals with and without CHD across different anger levels. Expected counts are calculated to compare observed frequencies against expected frequencies, leading to the computation of the p-value. This study aims to draw conclusions about whether higher anger levels are associated with an increased risk of coronary heart disease.
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Chi Squared Tests Test for Independence
Ex 1: Is there a relationship between anger and coronary heart disease (CHD)? Low angerModerate angerHigh angerTotal CHD 53 110 27 No CHD 3057 4621 606 Total
Ex 1: Is there a relationship between anger and coronary heart disease (CHD)? Low angerModerate angerHigh angerTotal CHD 53 110 27 No CHD 3057 4621 606 Total Step 2: Find the expected counts.
Ex 1: Is there a relationship between anger and coronary heart disease (CHD)? Low angerModerate angerHigh angerTotal CHD 53 69.731 110 106.076 27 14.193190 No CHD 3057 3040.269 4621 4624.924 606 618.8078284 Total 311047316338474
Ex 1: Is there a relationship between anger and coronary heart disease (CHD)? Low angerModerate angerHigh angerTotal CHD 53 69.731 110 106.076 27 14.193190 No CHD 3057 3040.269 4621 4624.924 606 618.8078284 Total 311047316338474 Step 4: Find the p-value and make your conclusions.