Respuesta :
Answer:
3.07% probability that the newspaper's sample will lead it to predict defeat
Step-by-step explanation:
Problems of normally distributed samples are solved using the z-score formula.
In a set with mean [tex]\mu[/tex] and standard deviation [tex]\sigma[/tex], the zscore of a measure X is given by:
[tex]Z = \frac{X - \mu}{\sigma}[/tex]
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.
For a proportion p with n voters, we use [tex]\mu = p, \sigma = \sqrt{\frac{p(1-p)}{n}}}[/tex]
In this problem, we have that:
[tex]p = 0.55, n = 354[/tex]
So
[tex]\mu = 0.55, \sigma = \sqrt{\frac{0.55*0.45}{345}}} = 0.0268[/tex]
What is the probability that the newspaper's sample will lead it to predict defeat?
That is, a percentage of 50% or less, which is the pvalue of Z when X = 0.5. So
[tex]Z = \frac{X - \mu}{\sigma}[/tex]
[tex]Z = \frac{0.5 - 0.55}{0.0268}[/tex]
[tex]Z = -1.87[/tex]
[tex]Z = -1.87[/tex] has a pvalue of 0.0307.
3.07% probability that the newspaper's sample will lead it to predict defeat