How can random numbers help analyze birth patterns in a week?

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SUMMARY

This discussion focuses on the application of random numbers in analyzing birth patterns over a week. It provides a dataset of births across seven days, highlighting the use of the MATH-PRB-5 and MATH-PRB-randInt functions for generating random integers and simulating birth distributions. The simulation involves generating 60 random integers to represent potential births, which can be sorted to analyze frequency and distribution. The discussion concludes that the simulation indicates a low likelihood of 27 births occurring on the same day, based on the generated data.

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The main aim of this question is to assess your understanding of the use of random numbers in analyzing patterns.

The table below gives the number of births on each day of a week in all maternity hospitals in a certain city.
Day Number of births
Sunday (day 1) 10
Monday (day 2) 6
Tuesday (day 3) 6
Wednesday (day 4) 13
Thursday (day 5) 5
Friday (day 6) 6
Saturday (day 7) 14

Suppose that births are equally likely to take place on each day of the week.
(a) Explain how you could use your calculator to generate random integers from 1 to 7. [3]
MATH-PRB-5:RANDINT(1,7)

(b) Use your calculator to generate 60 random integers from 1 to 7 and store them in a
list LI. Explain how you did this. [3]

MATH-PRB-randInt(1,7,60)-Sto-L1
(c) The numbers stored in LI provides a simulation of a random distribution of number
of births on each day of any week in which there are 60 births. Explain how the 60
numbers in the list should be interpreted in terms of such a simulation. [2]


(d) Sort the numbers in LI into ascending order, and hence locate the numbers which
occur more than once. Give the frequency of the occurrence of these numbers. [2]



(e) Does your simulation suggest that it is unlikely that 27 births take place on the same
day ? Explain why. [2]
 
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