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. Afteranxiously awaiting your pediatrician colleague to complete her medical assessments, she emails you data contained in the following table.Nausea and Subject   Vomiting?1               02               03              04              15              16              17             08               19              110             011             112             013             014             115             116     017    018     119     020     121      022    023    024    025     126    027     128     129     030    031     032    033    034    035     136    037    038     139    040    041     042    043     144     145    046    047    148    149    1Please note the following: 1) 0 and 1 are defined as no and yes, respectively, which is a typicalcoding 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 0.5460   b. 0.289 to 0.6000     C. 0.229 to 0.4670     d. 0.241 to 0.513

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