Suppose a marketing company wants to determine the current
proportion of customers who click on ads on their smartphones. It
was estimated that the current proportion of customers who click on
ads on their smartphones is 0.42 based on a random sample of 100
customers.
Compute a 92% confidence interval for the true proportion of
customers who click on ads on their smartphones and fill in the
blanks appropriately.
< p < (round to 3 decimal
places)
Solution :
Given that,
n = 100
Point estimate = sample proportion = = 0.42
1 - = 1-0.42=0.58
At 92% confidence level
Z/2=1.751
( Using z table )
Margin of error = E = Z / 2 * (( * (1 - )) / n)
= 1.751(((0.42*0.58) /100 )
= 0.086
A 95% confidence interval for population proportion p is ,
- E < p < + E
0.42-0.086 < p < 0.42+0.086
0.334<p<0.506
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