To test the effectiveness of a new drug, a researcher gives one group of individuals the new drug and another group a placebo. The results of the study are shown in the following table. At α=0.05, can the researcher conclude that the drug is effective? (Use Chi-Square testing procedure) Effective Not Effective Drug 32 9 Placebo 12 18 (a) State the null and alternative hypothesis for this test. (b) Calculate the test statistic and the critical value. (c) Report the p-value, and state your conclusion in words.
a) H0: The drugs is not effective.
H1: The drugs are effective.
b)
Test statistic is
O: Observed frequency
E: Expected frequency.
E = ( Row total*Column total) / Grand total
Effective | Not effective | Total | |
Drug | 32 | 9 | 41 |
Placebo | 12 | 18 | 30 |
Total | 44 | 27 | 71 |
O | E | (O-E) | (O-E)^2 | (O-E)^2/E |
32 | 25.40845 | 6.591549 | 43.44852 | 1.710003 |
9 | 15.59155 | -6.59155 | 43.44852 | 2.786671 |
12 | 18.59155 | -6.59155 | 43.44852 | 2.337004 |
18 | 11.40845 | 6.591549 | 43.44852 | 3.808451 |
Total | 10.64 |
c)
Degrees of freedom = ( Number of rows - 1 ) * ( Number of column - 1) = ( 2 - 1) * (2 - 1) = 1 * 1 = 1
P-value = P( ) = 0.0011
P-value < 0.05 we reject null hypothesis.
Conclusion:
The drugs are effective.
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