Answer with explanation:
The 90% confidence interval (51%, 61%) for proportion means that the proportion of getting heads lie in it.
Given : Total number of times coin is tossed = 250
Number of times they got head =140
The probability of getting a head = 0.56
The confidence interval for proportion is given by :-
![p\pm z_(\alpha/2)\sqrt{(p(1-p))/(n)}](https://img.qammunity.org/2020/formulas/mathematics/college/p9m06chotidciej9xkrg7jriq6irct43pj.png)
Given significance level :
![\alpha=1-0.90=0.1](https://img.qammunity.org/2020/formulas/mathematics/college/5p5wia3or9zv7f2hsw5cs4zvn7jliwce34.png)
Critical value :
![z_(\alpha/2)=z_(0.05)=\pm1.645](https://img.qammunity.org/2020/formulas/mathematics/college/eqa714o9yln0ffnztim6phe5x3sjqhgs20.png)
Now, the 90% confidence interval for proportion will be :-
![0.56\pm (1.645)\sqrt{(0.56(1-0.56))/(250)}\approx0.56\pm 0.0516\\\\=(0.56-0.0516,0.56+0.0516)=(0.5084,\ 0.6116)\approx(51\%,\ 61\%)](https://img.qammunity.org/2020/formulas/mathematics/college/hib1e8oiypij5lo29yjn5qcuk5krsy18vk.png)
Hence, the given confidence interval is correct.