A research team studying the relationship between biologics/biosimilar chemotherapies and their severity of a certain adverse condition in a population collected data on 1500 subjects (patients) as displayed in the contingency table shown below. The researchers wished to know if these data were compatible with the hypothesis that severity of condition and biologics/biosimilar are independent. Please answer following questions: (1 point)
Table 2. Biologics/Biosimilar and severity of adverse condition.
Severity of Condition |
Biologics Abcdmab |
Biosimilar Abcdmab1 |
Biosimilar Abcdmab2 |
Biosimilar Abcdmab3 |
Total |
Absent |
543 |
211 |
90 |
476 |
|
Mild |
44 |
22 |
8 |
31 |
|
Severe |
28 |
9 |
7 |
31 |
|
Total |
a) Please state your null hypothesis in text (not in symbol).
b) Please calculate the degree of freedom.
c) Please calculate the expected values for each cell.
d) Please calculate the chi-square value.
e) If the critical chi-square value is 10.645 at alpha level of 0.05, please state your statistical decision.
f) State your conclusion.
The Observed value table with the total is below
Observed | |||||
Abcdmab | Abcdmab1 | Abcdmab2 | Abcdmab3 | Total | |
Absent | 543 | 211 | 90 | 476 | 1320 |
Mild | 44 | 22 | 8 | 31 | 105 |
Severe | 28 | 9 | 7 | 31 | 75 |
Total | 615 | 242 | 105 | 538 | 1500 |
________________________________
(a) The Hypothesis:
H0: Severity of Condition and Biologis/Biosimilar are independent
Ha: Severity of Condition and Biologis/Biosimilar are not independent.
________________________________
(b) The degrees of freedom, df = (r – 1) * (c -1) = (3 - 1) * (4 - 1) = 6
_________________________________
(c) The Expected value data are in the table below. Each Cell = Row total * Column Total/N. N = 1500
Expected | |||||
Abcdmab | Abcdmab1 | Abcdmab2 | Abcdmab3 | Total | |
Absent | 541.20 | 212.96 | 92.40 | 473.44 | 1320 |
Mild | 43.05 | 16.94 | 7.35 | 37.66 | 105 |
Severe | 30.75 | 12.10 | 5.25 | 26.90 | 75 |
Total | 615 | 242 | 105 | 538 | 1500 |
_________________________________________
(d) The Test Statistic: The table below gives the calculation of .
# | Observed | Expected | (O-E) | (O-E)2 | (O-E)2/E |
1 | 543 | 541.20 | 1.80 | 3.24 | 0.005987 |
2 | 44 | 43.05 | 0.95 | 0.9025 | 0.020964 |
3 | 28 | 30.75 | -2.75 | 7.5625 | 0.245935 |
4 | 211 | 212.96 | -1.96 | 3.8416 | 0.018039 |
5 | 22 | 16.94 | 5.06 | 25.6036 | 1.511429 |
6 | 9 | 12.10 | -3.1 | 9.61 | 0.794215 |
7 | 90 | 92.40 | -2.4 | 5.76 | 0.062338 |
8 | 8 | 7.35 | 0.65 | 0.4225 | 0.057483 |
9 | 7 | 5.25 | 1.75 | 3.0625 | 0.583333 |
10 | 476 | 473.44 | 2.56 | 6.5536 | 0.013843 |
11 | 31 | 37.66 | -6.66 | 44.3556 | 1.177791 |
12 | 31 | 26.90 | 4.1 | 16.81 | 0.624907 |
Total | 5.116262 |
test = 5.12
____________________________
(e) If test is > c, then reject H0
Here since test (5.12) is < 10.645, We Fail to reject H0.
_____________________________
(f) The Conclusion: There isn't sufficient evidence at the 95% level of significance to warrant rejection of the claim that Severity of Condition and Biologis/Biosimilar are independent.
______________________________
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