Answer:
-1.00
Explanation:
Given that a publisher reports that 45% of their readers own a laptop. A marketing executive wants to test the claim that the percentage is actually different from the reported percentage.
Sample size n =190
Sample proportion p = 0.41

(Two tailed test )
Assuming H0 to be true
std error =

p difference = -0.04
Test statistic = p differencce/std error
= -1
Hence test statistic is -1.00