In one satisfaction survey, 8023 subjects responses were collected. 24.94% of subjects reported being satisfied and the rest reported being unsatisfied. 1. Test the claim that the satisfied responses occur at a rate different than 25% using the 10% level of significance. 2. Find a 95% confidence interval for the population proportion of subjects being satisfied based on the survey data.
H0: p = 0.25
Ha: p 0.25
Sample proportion = 0.2494
Test statistics
z = - p / sqrt( P( 1 - P) / n)
= 0.2494 - 0.25 / sqrt( 0.25 * 0.75 / 8023)
= -0.12
This is test statistics value.
p-value = 2 * P( Z < -0.12)
= 2 * 0.4522
= 0.9044
At 0.10 level, since p-value > 0.10 level we fail to reject the null hypothesis
b)
95% confidence interval for p is
- Z * sqrt( ( 1 - ) / n) < p < + Z * sqrt( ( 1 - ) / n)
0.2494 - 1.96 * sqrt( 0.2494 * 0.7506 / 8023) < P < 0.2494 + 1.96 * sqrt( 0.2494 * 0.7506 / 8023)
0.240 < p < 0.259
95% CI is ( 0.240 , 0.259)
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