Suppose you are now in a different reality, in which this binomial probability parameter pis now unknown to you but you are still interested in

Suppose you are now in a different reality, in which this binomial probability parameter pis now

unknown to you but you are still interested in carrying out the original study described above,

though you must first estimate p with a certain level of confidence. You obtain research funding to

randomly sample 49 schoolchildren with an inclusion criterion that he/she must have recently

attended a holiday party, and conduct a medical evaluation by a certified pediatrician. After

anxiously awaiting your pediatrician colleague to complete her medical assessments, she emails you

data contained in the following table.

Nausea and Subject   Vomiting?

1               0

2               0

3              0

4              1

5              1

6              1

7             0

8               1

9              1

10             0

11             1

12             0

13             0

14             1

15             1

16     0

17    0

18     1

19     0

20     1

21      0

22    0

23    0

24    0

25     1

26    0

27     1

28     1

29     0

30    0

31     0

32    0

33    0

34    0

35     1

36    0

37    0

38     1

39    0

40    0

41     0

42    0

43     1

44     1

45    0

46    0

47    1

48    1

49    1

Please note the following: 1) 0 and 1 are defined as no and yes, respectively, which is a typical

coding scheme in Public Health; 2) you might calculate a Cl that is different from any of the

multiple choice options listed below due to rounding differences, therefore select the closest

match; and 3) you may copy and paste the data into Excel to facilitate analysis.

Select one:

0     a. 0.271 to 0.546

0   b. 0.289 to 0.600

0     C. 0.229 to 0.467

0     d. 0.241 to 0.513