AJ L. answered 04/24/23
Supportive K-12 + College Math Tutor
Null and alternate hypotheses
H0: p≤0.10
Ha: p>0.10
Calculate test statistic
Z = (p̂-p)/√[p̂(1-p̂)/n]
Z = (30/100-0.10)/√[30/100(1-30/100)/100]
Z ≈ 4.364
Our critical value for 95% confidence is Z=1.96. Because 4.364>1.96 (test statistic > critical value), we reject the null hypothesis. This means that we are 95% confident that the true population proportion is greater than 0.10, or 10%.
Hope this helped!
AJ L.
One way is to use a z-table (you can easily look these up on the web), and then match the digits of your test statistic (so look for the 6.6 row and the 0.07 column to find the p-value). In this case, it's not necessary because our test statistic is extremely high that it's unlikely for the null hypothesis to be true (which is our rejection region).04/25/23
AJ L.
If you're still confused, I would highly encourage you to schedule a time with me and I make it more clearer for you :)04/25/23
Halle C.
how do you find the p-value from this information. is the p-value 1.96?04/25/23