Answer:
The test was not statistically significant because if the null hypothesis is true, one could expect to get a test statistic at least as extreme as that observed 21% of the time.
Step-by-step explanation:
This is the right answer,since this result is only observed 21% of the time, so in general it's not significant, so the first 2 are eliminated. The 2 x 0.21 doesn't matter since, the percent is 21% not 42%, so it doesn't even matter. The last question we eliminate is:"The test was not statistically significant because if the null hypothesis is true, one could expect to get a test statistic at least as extreme as that observed 79% of the time" 79% of the time is a pretty good amount to say it's significant, but it only says 21% of the time.So, it leaves us with:The test was not statistically significant because if the null hypothesis is true, one could expect to get a test statistic at least as extreme as that observed 21% of the time.
Hope this helps lol (: is this a psat or somethin?
Answer:
t = (A/sx) - r
Step-by-step explanation:
Solve for t like this:
![A = s(t+r)x\\A = sx(t+r)\\\\\frac{A}{sx} = t+r\\\frac{A}{sx} - r = t\\t= \frac{A}{sx} - r](https://tex.z-dn.net/?f=A%20%3D%20s%28t%2Br%29x%5C%5CA%20%3D%20sx%28t%2Br%29%5C%5C%5C%5C%5Cfrac%7BA%7D%7Bsx%7D%20%3D%20t%2Br%5C%5C%5Cfrac%7BA%7D%7Bsx%7D%20-%20r%20%3D%20t%5C%5Ct%3D%20%5Cfrac%7BA%7D%7Bsx%7D%20-%20r)
Answer:
MMM
Step-by-step explanation:
Given
See attachment for elements of the sample space (in a probability tree)
Required
Which of MMM, FFM, MFF, FMF represents more than one male?
From the question, we understand that:
![M \to Male](https://tex.z-dn.net/?f=M%20%5Cto%20Male)
![F \to Female](https://tex.z-dn.net/?f=F%20%5Cto%20Female)
So, for an event to represent more than 1 male, there must be an occurrence of at least 2 M (i.e 2 M or 3 M)
From the given options, only MMM has more than 1 M.
Hence, MMM represents more than one Male