A question (more statistics than exam-like; C1 or C4)

[Packet_Storm]

I was given a question compairing people height and arm length are statsicaly them same. I am a bit lost. This is two independ variables and I would do the following steps.

Find the mean of the differences of each pair.
Then the S.D. and then find the test value, and then do a P-test?

just wondering.

[Macroman]

sorry the P-test is new to me. Is it possible you mean t-test?

[Packet_Storm]

My teacher calls it a P-test. When you find the p-value and see if its less than alpha.



I get kinda confused by her because she just tells us what buttons to push on the ti-83 Plus.

[Dr T Non-Fan]

Try talking like us, maybe we can follow along, eh?
Sounds like the wrong class to learn statistics for an actuarial exam. Unless you're trying to meet chicks, of course.

[Packet_Storm]

I signed up for the intro class on the good faith that it would actualy teach me basic statistics; however, I was wrong.
I am currently getting a B in the class because I handed in my first homework in pen, not pencil.

I can't wait until its over, because I get very confused by what she is asking for on the exam in class. I know how I would like to solve these problems; however, I am not able to go beyond basic math.

Enough of that, am I on the right track?

[Dr T Non-Fan]

I didn't mean to be so harsh. Sounds like you're in a bad situation.
That is like the class that some of my ex-girlfriends took. You know, sociology majors, psychology majors, etc. People who don't do the math thing.
What you actually needed was an upper-level intro prob/stat course. You'll need to know about integrating for prob/stat for Course 1, something that won't be covered at all in the class you're taking (I wager).

As for your question, heck if I know. I might need your null hypothesis, if only as a stalling tactic.

[Packet_Storm]

Height Arm Length Difference
71 73 -2
68 71 -3
72 71 1
66 61 5
73 72 1
67 67 0
71 68 3
71 68 3
64 64 0
63 61 2
69 68 1
68 69 -1
69 69 0
65 64 1
74 75 -1

Mean of differences: 0.666666667
SD of sample: 2.058663459
Est. sample error: 0.53154462
test value: 1.254206406
t-value 2.145
alpha = .05
Ho: µd = 0
H1: µd not = 0
Fail to reject because test value is not greater than T-value. There is enough evidence to support Ho???

[Macroman]

The language "There is enough evidence to support Ho" is not what I would use. You did not prove Ho, you only failed to reject it.

What I would say is "there is insufficient evidence to reject Ho".

good luck.

[Packet_Storm]

I would like to personaly thank everyone who has offered valuable remarks to my question. I thank you.