math test normal distribution ?!?!
@iPwnBunnies
Sorry, I don't know about statistics.
do you know any one who is?
No, sorry.
@Jadeishere
which question do you need help with?
all of them like any you want to help me with
Okay
thank you
Okay i'm going from the bottom up. I'm not sure about 11. 10. I think that depends on what the person did to break the law. If they stole something, would you think it'd be fair to kill them? if the commited a mass genocide, and killed thousands of people, then yes, i do believe that they'd have the right. That does not mean they should kill. Period. 9. Not sure 8. 43% 7. you already know 6. 22% 5. 3 4. mean = 8, variance = 18.3 and the standard deviation is 4.3 3. 30th percentile is 113 and the 90th percentile is 200 2. it's the one that's crossed out in blue
for 11: the labels in order from left to right: \(\mu-3\sigma,\,\,\, \mu-2\sigma,\,\,\, \mu-\sigma,\,\,\, \mu, \,\,\,\mu+\sigma, \,\,\,\mu+2\sigma,\,\,\, \mu+3\sigma\)
and just substitude \(\mu=50\) and \(\sigma=2\)
For 10, they are asking about BIAS, not whether the question is "right or wrong" (as @Jadeishere alluded to) . That means, will responders be more likely to answer in one way versus another because of how the question is asked.
For 9: This is the question about bias again. Here, you can say there would be a very likely potential bias of people responding to eating out more (since the interviewer is interviewing people at a restaurant...) It's a very selective sample and is not a good indicator of how a more general population (the sample is too homogeneous).
for 11 what steps would I show?
8: 93% ... Almost everyone is found within this range of rent. In fact, it looks like about a range of \(\pm \)2 standard deviations from the mean... which is about 95% of the data... so 93% is your closest bet
They already sketched the curve for you.. just write those labels by using \(\mu=50\) and \(\sigma=2\). For example, \(\mu-3\sigma=50-3(2) = 44\)
okay I think I understand
7: is correct. 6: You have that \(X\sim\text{Bin}(10, 0.61)\) where X = number of people who swallow a spider. The probability of success (swallowing at least 1 spider) is 0.61. So, you have either people swallowing at least 1 spider or not. The trials are independent and the success probability is the same on every trial, which is why we have a binomial distribution. You want \(P(X=7)\), so \[P(X=7)={10\choose7}(0.61)^7(1-0.61)^{10-7}=0.2237 \]
so it would be 22%
yes
okay thanks!!
The rest seems okay I think.. I didn't try entering all those data points for the questions about data sets but if you have access to a calculator/program that has stats functions, it should be very straightforward
Join our real-time social learning platform and learn together with your friends!