MIT is looking to accept 12 students into one of their academicprograms. Histori

Question

MIT is looking to accept 12 students into one of their academicprograms. Historically
66% of the students who are accepted at MIT will eventually chooseto go there. The
administrators want to try to understand how many people will go totheir program and
with what probability. Simulate 100 events where 12 students havebeen accepted and
each student is 66% likely to go to MIT. Graph your results as wellas the theoretical
distribution that would be associated with the experiment given thebinomial expansion.
Prepare a paper submission that has three sections: Definition ofthe Problem; Analysis;
and Summary of Results.

THAT IS MY QUESTION THE ABOVE. NOW I HAVE DONE THE WORK BUT DOES ITMAKE SENSE?....PLS TELL IFITS WRNG CUD U PLS CORRECT IT?...TNX

In order to see how many students are likely to get admission inMIT’S academic programs, one has to do a broader research tofind out the data more in depth. Such an experiment is valuable forthe administration of MIT in order to ensure whether theyposses the sufficient amount of seats they are offering thestudents and to address the number of staff members that couldeventually teach the desired academic programs. It’ssignificant for MIT to take these points into consideration as theycould loose money if the numbers of the expected students exceedthe limits. This experiment is done in order to construct anaccurate and a consistent report. Although the constraints,such as the number of trials and the sample, could affect thisassignment in means of the population. In general it’shard to determine one’s decision as well as reliable based onsuch a small population given. Whereas the bias introduced in thisparticular activity ‘s expectations about the outcome of theexperiment can be subtly communicated to the participants in theexperiment. a biased sample, defined as a statistical sample of apopulation in which all participants are not equally balancedor objectively represented
MIT is assuming that this year’s students will behave similarto historical data, but it’s hard to say that 66 % ofthe students who are accepted will eventually choose to go there,this assumption, if not addressed briefly, could have a massiveimpact on MIT.
This report will annotate hw many students will be accepted and whowill determine to go there; probability, graphs and excel spreadworksheet.

To see how many students are likely to be admitted to MIT’Sacademic programs, one has to do a broader research to findout more information in depth. Such an experiment is valuable forthe administration of MIT to ensure whether they posses a sufficient number of student offers and to determine thenumber of staff members who could eventually teach the desiredacademic programs. It’s significant for MIT to consider thesepoints as they could lose money if the numbers of expected students exceed the limits. (the purpose of performingthis experiment is to )This experiment is done to construct anaccurate and consistent report. The limitations, such as the numberof trials and sample size, could affect the estimation of the meansof the populations. In general, it’s hard to determineone’s decision as well as reliable based on such a smallpopulation . The bias introduced in this experiment's outcomeis defined as a statistical sample of a population in whichall participants may not be equally balanced or objectivelyrepresented.
MIT is assuming that this year’s students will behavesimilarly to historical data, but it’s hard to say that66 % of the students who are accepted will eventually choose to gothere, this assumption, if not addressed briefly, could have animpact on MIT’s plans.
This report will annotate the average of the students that will beaccepted as well as the ones that determined to go there; graphs,excel spread worksheet.

The larger your sample size, the more sure you can be that theiranswers truly reflect the population. This indicates that for agiven confidence level, the larger your sample size, the smalleryour confidence interval

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plsssss help meeeee!!!!!!!!

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