Then calculate the probability of the above hypothesis, and the cure rate is equal to or greater than the probability of 7 people:
The probability that 7 people are cured and 3 people are ineffective = c (10/0,7) * 0.37 * 0.73 = (fact (10)/ (fact (10-7) * fact (7)) * 0.3 7 *.
* stands for multiplication symbol, multiplication symbol stands for power symbol, and fact( 10) stands for factorial of 10. Copy and paste my numerical formula into the formula editing column of Excel, and you can get the calculation result directly.
The probability that 8 people are cured and 2 people are ineffective = c (10/0,8) * 0.38 * 0.72 = (fact (10)/ (fact (10-8) * fact (8)) * 0.3 8 *.
Nine people were cured, and the probability of 1 person being ineffective = c (10/0,9) * 0.39 * 0.71= (fact (10)/ (fact (10-9) * fact (.
10 people all cured = 0.3 10 = 0.0000059049.
The sum of the above four items = 0.009001692+0.001446 7010.000137781+0.0000059049 = 0.0/kloc-.
Therefore, for the hypothesis that the curative effect of the new drug is the same as that of the old drug (the cure rate is 0.3), the probability of its establishment after this clinical trial is only a little more than 0.0 1 (lower than the set value of significance level α=0.05). Therefore, we are confident that the cure rate of new drugs is significantly higher than that of old drugs.