Answer:
57.39% probability that between 50 and 60 of them were in favor of leaving the U.K.
Explanation:
I am going to use the normal approximmation to the binomial to solve this question.
Binomial probability distribution
Probability of exactly x sucesses on n repeated trials, with p probability.
Can be approximated to a normal distribution, using the expected value and the standard deviation.
The expected value of the binomial distribution is:
![E(X) = np](https://img.qammunity.org/2021/formulas/mathematics/college/66n16kmn896qth698tyf6rfu48vhaipkmv.png)
The standard deviation of the binomial distribution is:
![√(V(X)) = √(np(1-p))](https://img.qammunity.org/2021/formulas/mathematics/college/50rvo6hmelacol69fy9pzbmom4zmpsvsnd.png)
Normal probability distribution
Problems of normally distributed samples can be solved using the z-score formula.
In a set with mean
and standard deviation
, the zscore of a measure X is given by:
![Z = (X - \mu)/(\sigma)](https://img.qammunity.org/2021/formulas/mathematics/college/c62rrp8olhnzeelpux1qvr89ehugd6fm1f.png)
The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.
When we are approximating a binomial distribution to a normal one, we have that
,
.
In this problem, we have that:
![n = 135, p = 0.38](https://img.qammunity.org/2021/formulas/mathematics/college/1rlwsf2q68hyfyofawvs4ziy51ssc5d7zy.png)
So
![\mu = E(X) = np = 135*0.38 = 51.3](https://img.qammunity.org/2021/formulas/mathematics/college/j5tdwtn9tq2ehtrdnah8ri8ycg4h725q2t.png)
![\sigma = √(V(X)) = √(np(1-p)) = √(135*0.38*0.62) = 5.6397](https://img.qammunity.org/2021/formulas/mathematics/college/3dbvyn5a2yx739j050thflw32po9t599xb.png)
What is the probability that between 50 and 60 of them were in favor of leaving the U.K.?
Using continuity correction, this is
. So this is the pvalue of Z when X = 60.5 subtracted by the pvalue of Z when X = 49.5. So
X = 60.5
![Z = (X - \mu)/(\sigma)](https://img.qammunity.org/2021/formulas/mathematics/college/c62rrp8olhnzeelpux1qvr89ehugd6fm1f.png)
![Z = (60.5 - 51.3)/(5.6397)](https://img.qammunity.org/2021/formulas/mathematics/college/l1sj335l6hvidkov54whyje7z1sdtwrn3n.png)
![Z = 1.63](https://img.qammunity.org/2021/formulas/mathematics/college/o6cnjosx9yzne3tjdl787gxjcnuo0imm25.png)
has a pvalue of 0.9484
X = 49.5
![Z = (X - \mu)/(\sigma)](https://img.qammunity.org/2021/formulas/mathematics/college/c62rrp8olhnzeelpux1qvr89ehugd6fm1f.png)
![Z = (49.5 - 51.3)/(5.6397)](https://img.qammunity.org/2021/formulas/mathematics/college/vr7u72k6hyu0wyxpk4gqyj13vl7os9f3uc.png)
![Z = -0.32](https://img.qammunity.org/2021/formulas/mathematics/college/nv1q4lp1kydmf5fksk52pwakm3cgvnhuin.png)
has a pvalue of 0.3745
0.9484 - 0.3745 = 0.5739
57.39% probability that between 50 and 60 of them were in favor of leaving the U.K.