<p>Since the error was based on a previous question (whether you rejected the null or not), if it matches with your conclusion and you justified it, you should get full credit.</p>
<p>So for the 2c…is it (130-125)/(2.9) as a normalcdf or as a t-test with df=4? Because that makes a huge difference. My rationale for t-test was because it was means and the original population SD was NOT given…only the sample SD.</p>
<p>And why did you divide by .5? Isnt it by 5?</p>
<p>And if the numbers were 130 = x, 125 = mean, and 6.5 = sd, with n=5, does anyone want to recheck to get like 0.08? Thanks</p>
<p>I thought it only gave the sample SD? It didnt give the population SD? Ahh if I get this wrong, Ill be really mad cause I did do normalcdf first but changed it to t-test.</p>
<p>You are assuming that the 6.5 is a population st.dev because it didn’t say that it was from a sample (lol @ the reasoning but I think its right).</p>
<p>"
The probability that it is greater than the 70th percentile is .3. And it would be P(at least 2), so you wouldn’t need to find the complement if you did binomial cdf from 2 to 5.]</p>
<p>(5 C x)(.3)^x(.7)^(5-x) for x=2,3,4,5"</p>
<p>for this one did we have to state the conditions for binomial???
and if I didn’t is it failure? :(</p>
<p>I didnt state the conditions…I dont think it was a biomial test…it was just a ordinary probability problem. You didnt have to use binomcdf (although you could to make it quicker)</p>
<p>Anyone want to verify</p>
<ol>
<li><p>2a is 128ish? its just what I did with inovmr(0.7)=(x-125)/(6.5) right?</p></li>
<li><p>What was the answer for 4c where it said “can this come from a normal population or is the normal population skewed”…I didnt state CLT…but i said that as n increases variability decreases so it can still come from a normal population…as the first sample had a really low n, increasing its chances for variability. Is that right?</p></li>
</ol>
<p>I said that the 100 samples showed a normal distribution as they were centered around a certain range of numbers and that the occurances of a sample having a certain stat decreases as the stat goes farther away from the center</p>
<p>HiPeople, aren’t you talking about question 6?</p>
<p>and for that interval question asking whether the mayors predictions were wrong or whatever, did you people say yes because zero was in the interval?</p>
<p>also one of the questions mentioned some type of error. Was it a type I error?</p>