In: Statistics and Probability
Assume that adults were randomly selected for a poll. They were asked if they "favor or oppose using federal tax dollars to fund medical research using stem cells obtained from human embryos." Of those polled,
484484
were in favor,
395395
were opposed, and
118118
were unsure. A politician claims that people don't really understand the stem cell issue and their responses to such questions are random responses equivalent to a coin toss. Exclude the
118118
subjects who said that they were unsure, and use a
0.010.01
significance level to test the claim that the proportion of subjects who respond in favor is equal to
0.50.5.
What does the result suggest about the politician's claim?
null Hypothesis: Ho: p | = | 0.500 | |
alternate Hypothesis: Ha: p | ≠ | 0.500 | |
for 0.01 level with two tailed test , critical z= | 2.576 | ||
Decision rule : reject Ho if absolute value of test statistic |z|>2.576 | |||
sample success x = | 484 | ||
sample size n = | 879 | ||
std error se =√(p*(1-p)/n) = | 0.0169 | ||
sample proportion p̂ = x/n= | 0.5506 | ||
test stat z =(p̂-p)/√(p(1-p)/n)= | 3.00 | ||
p value = | 0.003 |
since test statistic falls in rejection region we reject null hypothesis | |||
we have sufficient evidence to reject the politician's claim |