Question regarding hypotheses testing (screenshot attached)
I believe that the rejection region is indicated when \(\mu \cancel{=} \mu_0\): \[Z \ge Z_{\alpha /2} ~~~\text{and}~~~Z \le -Z_{\alpha /2}\]Right? Given that the test statistical value would be\[Z=\frac{ \bar{x}-\mu_0 }{ \sigma / \sqrt{n} }\]
yes that looks right
Okay, so is the SD given by the 40% Is this just 40% of the population? 0.4*159?
the test statistic formula is the wrong one though
although, I think I see what you mean
Yeah =/
test statistic for proportion \[\Large z = \frac{\hat{p} - p}{\sqrt{\frac{p*(1-p)}{n}}}\]
p = hypothesized proportion = 0.40 p-hat = sample proportion = 83/159 = 0.52201257861636 n = sample size = 159
Ahh, that makes sense. X) So for part b). should I assume that \(\alpha=0.01\)?
yeah `significance level of 0.01` ----> alpha = 0.01 0.01/2 = 0.005 is the area in each tail
Right, that makes sense, hehe X) Did you find that\[Z \ge 2.575 ~~~ and ~~~ Z \le -2.575\]
I'm getting -2.576 and 2.576 but close enough
I used this http://onlinestatbook.com/2/calculators/inverse_normal_dist.html and typed in 0.99 as the area and clicked the "between" radio button
Ohh, that's a very handy website.. I think I'll save that one, hehe X)
Did you get 3.14 for the test statistic?
Yeah I'm getting z = 3.140490955
Perfect! Now what do I compare this value to in order to either reject or fail to reject \(\text{H}_0\)?
yes you compare that to the first part
We hardly ever go through examples so I probably seem really stupid right now X)
you're doing fine
Oh right! So since it's greater than 2.576 then that would mean that we should reject it
correct
z = 3.140490955 makes z >= 2.576 true, so this test statistic is in the rejection region
This makes sense now! Thank you! :)
no problem
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