A cellphone provider has the business objective of wanting to estimate the proportion of subscribers who would upgrade to a new cellphone with improved features if it were made available at a substantially reduced cost. Data are collected from a random sample of 500 subscribers. The results indicate that 160 of the subscribers would upgrade to a new cellphone at a reduced cost. Complete parts (a) and (b) below. a.
Construct a 99% confidence interval estimate for the population proportion of subscribers that would upgrade to a new cellphone at a reduced cost.
The confidence interval for Population proportion is
Where
And
ME=critical value*Standard error
Where
Critical value is Table value at 0.05 level of significance
Standard error=
Calculation
The critical value at 99% confidence is 2.576
ME=2.576*0.0209=0.0538
The 99% confidence interval is given by
(0.266 , 0.374)
The 99% Confidence Interval for Population proportion of subscribers that would upgrade to a new cellphone at a reduced cost is (0.266 , 0.374)
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