3) A company says that its product has a 95% positive approval
rating. A polling company found that 89% of 500 people surveyed
approved of the product. Construct a 90% proportion confidence
interval based on this data and determine whether the data supports
the 95% positive approval rating claim.
Start by using the binomial distribution (p ̂ + q ̂)n = 1, and
x ̅ = np ̂.
Use Summary 5b, Table 1, Column 3.
What is n?
What is p ̂?
What is q ̂?
What is x ̅?
What is p? (Note: p is based on our belief about the
population. p ̂ is based on the sample.)
Let σp = sqrt((p ̂q ̂)/n). What is σp ?
We want to make a confidence interval by using the
formula
z = k/σp
Should we use a 1 tail or 2 tail z-score?
What value of z corresponds to the 90% confidence
interval?
What is k?
Construct the confidence interval
(p ̂ – k) < ptrue < (p ̂ + k)
Is your confidence interval consistent with the belief that
95% approval rating claim? (yes or no, and explain your answer
using your computed confidence interval).