Question

In: Statistics and Probability

An experiment was conducted to test the effect of a new drug on a viral infection....

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, 1 and 2, 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 (p1p2) in the survival rates for the treated versus the control groups. (Round your answers to two decimal places.)

Solutions

Expert Solution

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, 1 and 2, in the two groups were found to be 0.38 and 0.62, respectively.

  1. 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.)

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 (p1p2) 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


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