drop bears... I take school year-round. So here's somethin. Not just an answer, reason it out. Stat rocks me a bit. I hate having to bring the math out of word problems before I can calculate. A random sample of 10 college students was drawn from a large university. Their ages are 22, 17, 27, 20, 23, 19, 24, 18, 19, and 24 years. Sample mean and standard deviation are = 21.3 and S = 3.2. The university administration wishes to test if we can infer at the 5% significance level that the population mean is equal to 20 as its null hypothesis. What is the value of the test statistic?a. 1.96b. 1.812c. 1.285d. 2.262 * took my stat final yesterday . Carried about a 97% average prior to the final, but the prof. went through the last half of the course reading powerpoints. It was torture, I tell ya. standing on pins and needles for the result.
You also haven't taken linear algebra or differential equations... I mean unless you've been hiding the fact that you've been in my class all semester...
My brain is cooking in its own juices from physics so i didn't exactly think that through... You could say that We are friends at the same college haha
How about, "I am not going to give you an example of Godel's Paradox."? Not sure what you mean by socially relevant. I used to work in a store and would sometimes jokingly ask friends if they still beat their wife. Kind of close to the same thing, since I only asked it of people I wouldn't expect to actually do that.
Firstly it's good to see another Aussie around here. But I have no idea what the answers for every question in the Australian Curriculum is and thirdly do you NAPLAN or are you not in a NAPLAN grade?
Nice of you to start this Given that I am doing the same degree as you, I too am also a math lover... so I will be keen to help out people here. p.s. I can do trig in my sleep *Raises hand! Doing that this year
My statistics are a little rusty, but using a single sample student t-test, we input the values into the following equation: t = x - μ = 21.3 - 20 = 1.3 = 1.28 -------- ---------------- ------- s / √n 3.2 / √10 1.01 Using a t value of 1.28, you can get a p-value from a normal probability distribution scale of about 0.125, which is above 0.05 therefore it is statistically significant, meaning the hypothesis is correct. Right?
Yessir . How long ago you take stats? I don't think I'll retain this stuff beyond a year. It's all well and good to go over the stuff, plug through the formulas and wrap your head around the concepts... but I really wish stat was heavily Excel oriented. Even from the beginning of it. I feel like a full term focused just on using stat through Excel would be something that I would use with work often. Not likely I'd be persuaded just to take another course for the fun of it though, especially not so close to graduation.
This isn't totally a maths help question, but I think it's still relevant to the thread: I'm getting to the stage where I need to be making university decisions later this year, and I've got a pretty good idea that I want to do a maths or physics degree... Apart from getting academic qualifications, is there anything that you'd advise me to do to be better prepared? eg read physics journals/do extra reading around the subject etc?
I started university doing computer science and commerce, so I did EBS (Economic Business Statistics) in my first year. That unit focused on the fundamentals of statistics and I'm even surprised I passed, since I could barely wrap my head around all the alien symbols they used. I majored in marketing, and as the years went on, statistics became more focused on application rather than concept. In strategic marketing, we used a software package (can't remember the name) in which you input the data and it generates all sorts of tests and visual representations. So while it's always good to have a fundamental understanding of it, you only really need to continue with it if you're looking at a future in commerce, particularly in market research.
I'm no statistician, but my understanding was always that they make statements like "p < 0.05" or "p < 0.01" and such when they are talking about significant findings. My wife, however, knows statistics, and told me the following: The lower the p-value is, the lower the probability is due to chance. Meaning that in your case, p > 0.05, and is thus NOT statistically significant.
