In: Statistics and Probability
An experiment was conducted to test the effect of a new drug on a viral infection. After the infection was induced in 100 mice, the mice were randomly split into two groups of 50. The first group, the control group, received no treatment for the infection, and the second group received the drug. After a 30-day period, the proportions of survivors, p̂1 and p̂2, in the two groups were found to be 0.38 and 0.62, respectively.
(a) Find the test statistic and rejection region. (Round your answers to two decimal places. If the test is one-tailed, enter NONE for the unused region.)
(b) Use a 95% confidence interval to estimate the actual difference (p1 − p2) in the survival rates for the treated versus the control groups. (Round your answers to two decimal places.)
An experiment was conducted to test the effect of a new drug on a viral infection. After the infection was induced in 100 mice, the mice were randomly split into two groups of 50. The first group, the control group, received no treatment for the infection, and the second group received the drug. After a 30-day period, the proportions of survivors, p̂1 and p̂2, in the two groups were found to be 0.38 and 0.62, respectively.
One tailed test used.
Lower tail test
the test statistic z = -2.40
rejection region: reject Ho if z < -1.645
since test statistic falls in the rejection region, Ho is rejected.
we conclude that new drug on a viral infection is effective.
(b) Use a 95% confidence interval to estimate the actual difference (p1 − p2) in the survival rates for the treated versus the control groups. (Round your answers to two decimal places.)
95% CI = (-0.43, -0.05)
Z Test for Differences in Two Proportions |
|
Data |
|
Hypothesized Difference |
0 |
Level of Significance |
0.05 |
Group 1 |
|
Number of Items of Interest |
19 |
Sample Size |
50 |
Group 2 |
|
Number of Items of Interest |
31 |
Sample Size |
50 |
Intermediate Calculations |
|
Group 1 Proportion |
0.38 |
Group 2 Proportion |
0.62 |
Difference in Two Proportions |
-0.24 |
Average Proportion |
0.5000 |
Z Test Statistic |
-2.4000 |
Lower-Tail Test |
|
Lower Critical Value |
-1.645 |
p-Value |
0.0082 |
Reject the null hypothesis |
Confidence Interval Estimate |
|
of the Difference Between Two Proportions |
|
Data |
|
Confidence Level |
95% |
Intermediate Calculations |
|
Z Value |
-1.9600 |
Std. Error of the Diff. between two Proportions |
0.0971 |
Interval Half Width |
0.1903 |
Confidence Interval |
|
Interval Lower Limit |
-0.4303 |
Interval Upper Limit |
-0.0497 |