In: Statistics and Probability
Only a few days ago, a paper was published testing the association between blood type and COVID-19 infection. The paper used a dataset a part of which is summarized as below.
Blood Type | COVID-19 + Counts | COVID-19 - Counts |
A | 233 | 245 |
AB | 21 | 47 |
B | 116 | 136 |
O | 312 | 449 |
Based on the provided sample, would you conclude that there is a correlation between blood type and COVID-19 infection (using a significance level of 0.05)? What is the p-value?
1.) Yes, COVID-19 infection is correlated with blood type. p-value = 0.0064.
2.) No, COVID-19 infection is not correlated with blood type. p-value = 0.12.
3.) Yes, COVID-19 infection is correlated with blood type. p-value = 0.12.
4.) No, COVID-19 infection is not correlated with blood type. p-value = 0.0064.
COVID 19+ | COVID 19- | Total | ||
A | Observed | 233 | 245 | 478 |
Expected | 209.11 | 268.89 | 478.00 | |
O - E | 23.89 | -23.89 | 0.00 | |
(O - E)² / E | 2.73 | 2.12 | 4.85 | |
AB | Observed | 21 | 47 | 68 |
Expected | 29.75 | 38.25 | 68.00 | |
O - E | -8.75 | 8.75 | 0.00 | |
(O - E)² / E | 2.57 | 2.00 | 4.57 | |
B | Observed | 116 | 136 | 252 |
Expected | 110.24 | 141.76 | 252.00 | |
O - E | 5.76 | -5.76 | 0.00 | |
(O - E)² / E | 0.30 | 0.23 | 0.54 | |
O | Observed | 312 | 449 | 761 |
Expected | 332.91 | 428.09 | 761.00 | |
O - E | -20.91 | 20.91 | 0.00 | |
(O - E)² / E | 1.31 | 1.02 | 2.33 | |
Total | Observed | 682 | 877 | 1559 |
Expected | 682.00 | 877.00 | 1559.00 | |
O - E | 0.00 | 0.00 | 0.00 | |
(O - E)² / E | 6.92 | 5.38 | 12.30 | |
12.30 | chi-square | |||
3 | df | |||
.0064 | p-value |
Answer: Since P value<alpha.
Yes, COVID-19 infection is correlated with blood type. p-value = 0.0064.