In: Statistics and Probability
In a random sample of 100 viewers, 72% had a favourable impression of a new TV ad campaign. (a) Test the hypothesis that fewer than 80% of the population of all viewers have a favourable
view of the ad campaign. Use the .05 level of significance.
Explain your conclusion.
(b) Construct a 95% confidence interval for the proportion of the
population of all viewers who
have a favourable view of the ad campaign. Interpret your results.
Step 1:
Ho: p ≥ 0.80
Ha: p < 0.80
Null hypothesis states that the proportion of viewers having a favourable impresison of a new TV campaign is greater than or equal to 0.80
Alternative hypothesis states that the proportion of viewers having a favourable impresison of a new TV campaign is less than 0.80
Step 2 Test statistics
x = 72
n = 100
z = -2.00
Critical Value of Z (Left Tailed): - 1.65
As z stat falls in the rejection area, we reject the Null hypothesis.
Hence we have sufficient evidence to believe that proportion of viewers having a favourable impresison of a new TV campaign is less than 0.80
(b)
CI = 0.72 +/- 0.0880
CI = 0.6320 , 0.8080
We are 95% confident that the proportion of viewers having a favourable impresison of a new TV campaign is between 0.6320 , 0.8080