A telecommunications company reported that 30% of mobile phone users exceed their data plan allocation. Suppose that you are a data analyst in the company and you want to verify the above claim. You have selected a random sample of 200 customers and you want to determine the likelihood that more than 40% of the customers are exceeding the data allocation of their contract.
Although you are not given a Z-stat table, show with your calculations whether it is likely to observe a proportion of at least 40% of customers exceeding their data allocation. Explain your answer.
here population proportion= p= | 0.300 |
sample size =n= | 200 |
std error of proportion=σp=√(p*(1-p)/n)= | 0.0324 |
proportion of at least 40% of customers exceeding their data allocation:
probability = | P(X>0.4) | = | P(Z>3.09)= | 1-P(Z<3.09)= | 1-0.9990= | 0.0010 |
as probability of of at least 40% of customers exceeding their data allocation is significantly small,, therefore it is not likely event.
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