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Interpret simulated sampling distributions and interval variation

Question 1 of 8

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A library record checks whether a borrowed item is returned by the due date

The population proportion for borrowed items returned by the due date is \(p=\frac{3}{4}\)

A simulation took \(12\) random samples of \(n=50\) borrowed items. The success count and sample proportion for each sample are shown

\[\widehat p=\frac{X}{n}\]
Simulated sample proportions
RunSuccess countSample proportion
Run 1\(39\)\(\frac{39}{50}\)
Run 2\(37\)\(\frac{37}{50}\)
Run 3\(38\)\(\frac{19}{25}\)
Run 4\(40\)\(\frac{4}{5}\)
Run 5\(41\)\(\frac{41}{50}\)
Run 6\(40\)\(\frac{4}{5}\)
Run 7\(35\)\(\frac{7}{10}\)
Run 8\(33\)\(\frac{33}{50}\)
Run 9\(34\)\(\frac{17}{25}\)
Run 10\(38\)\(\frac{19}{25}\)
Run 11\(38\)\(\frac{19}{25}\)
Run 12\(42\)\(\frac{21}{25}\)
Dot plot of the simulated sample proportions in percentage points. The plotted values are 78%, 74%, 76%, 80%, 82%, 80%, 70%, 66%, 68%, 76%, 76%, 84%. Values: 78, 74, 76, 80, 82, 80, 70, 66, 68, 76, 76, 84.66717681Sample proportion (%)
Dot plot of the simulated sample proportions

A second simulation used the same population proportion and the same number of samples, but its sample size was \(n=25\)

Two simulated sample sizes
RunSimulation A, n = 50Simulation B, n = 25
Run 1\(39: \frac{39}{50}\)\(18: \frac{18}{25}\)
Run 2\(37: \frac{37}{50}\)\(16: \frac{16}{25}\)
Run 3\(38: \frac{19}{25}\)\(16: \frac{16}{25}\)
Run 4\(40: \frac{4}{5}\)\(17: \frac{17}{25}\)
Run 5\(41: \frac{41}{50}\)\(15: \frac{3}{5}\)
Run 6\(40: \frac{4}{5}\)\(16: \frac{16}{25}\)
Run 7\(35: \frac{7}{10}\)\(22: \frac{22}{25}\)
Run 8\(33: \frac{33}{50}\)\(22: \frac{22}{25}\)
Run 9\(34: \frac{17}{25}\)\(15: \frac{3}{5}\)
Run 10\(38: \frac{19}{25}\)\(17: \frac{17}{25}\)
Run 11\(38: \frac{19}{25}\)\(18: \frac{18}{25}\)
Run 12\(42: \frac{21}{25}\)\(20: \frac{4}{5}\)
(a)1 mark

Which statement identifies the centre of the simulated sampling distribution?

(b)1 mark

Which simulation has less variation in its sample proportions?