Answer:
There is enough statistical evidence to support the claim that the survey is not accurate.
Step-by-step explanation:
We have to perform a test of hypothesis on the proportion.
The claim is that the proportion of families that own stock differs from 48.8%.
Then, the null and alternative hypothesis are:
The significance level is 0.05.
The sample. of size n=250, has a proportion of p=0.568.
The standard error of the proportion is
The z-statistic can now be calculated:
The P-value for this two-tailed test is then:
As the P-value is smaller than the significance level, the effect is significant. The null hypothesis is rejected.
There is enough evidence to support the claim that the survey is not accurate.