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I 100% concur with you. I am taking econ 103 with her and she always over complicates the simplest of concepts. Also she`s just such an ass. Only reason I am taking this course with her is because the other prof teaching 103 is Doug Allen and I heard he`s a major douche + I took a glimpse at his book and it sucks. Barely any DIAGRAMS whatsoever, just pure explanation in words.
Econ 103 with Doug Allen in my FIRST semester... worst decision I made, got wrecked.
__________________ "Son, someday you will make a girl very happy, for a short period of time.
Then she'll leave you and be with new men who are ten times better than you could ever hope to be.
These men are called Pilots."
Mirin (味醂 or みりん?) is an essential condiment used in Japanese cuisine, consisting of 40%–50% sugar.[1] It is a kind of rice wine similar to sake, but with a lower alcohol content—14%[2] instead of 20%. There are three general types.
Oh yea, did you see two different (writing) styles in your marking. She would force the TA to mark all of it within 24 hrs and then remark it herself. Shes a fucking troll.
Anyone writing stats 201 exam tmrw wanna study? I'll be on first floor library. I'm so full of fuck with the practice Q he posted online. Anyone wanna check my answers? I'm foreveraloning in that class.
Spoiler!
Ex:
A die is rolled it n times. Let Xk = the spots recorded on the kth roll and X = X1 + X2 + …+ Xn = sum of spots resulting.
Q1. Roll the die twice (n = 2). Describe the sample space.
Q2. Find the mean of X1 and the variance of X1.
Q3. Are the first roll and the second roll independent? Are X1 and X2 independent?
Q4. Roll the die twice (n = 2). Find the sampling distribution of X = sample total = X1 + X2.
Q5. Roll the die 100 times. P[3.5 ≤ ≤ 3.9] is ______________.
Q1)
Sample space is as follows (given by Totals)
2 with P(1/36), 3 with P(2/26), 4 with P (3/36), 5 with P (4/36), 6 with P (5/36), 7 with P (6/36), 8 with P (5/36), 9 with P (4/36), 10 with P (3/36), 11 with P(2/36), 12 with P (1/36)
Q2)
To find the mean of X1 and the Variance of X1, is it just:
Q3)
Yes indépendant because P(any outcome) = 1/6 for both X1 and X2
Q4) If die rolled twice (N=2) Sampling Distribution of X is = sigma^2/n which is
2.916/2 = 1.458
** I'm going by his wednesday lecture notes here where he stated several times Common Variance of X1 = Sigma^2, and that Variance(Xbar) = Sigma^2/n
EDIT: I'm a retard I read his notes wrong -.- I hate Scott Pai I don't understand why he throws so many equations at us .. I seriously had less equations in physics -.-
It's actually Sqrt(2.916)/Sqrt(2) = 1.207
Q5) Die is rolled 100 times,
P[3.5 ≤ ≤ 3.9]
The distribution is Approx. Normal with N[Mew, Sqrt (Sigma^2)/ Sqrt(n)]
Therefore, N[3.5, 0.17076]
(3.5 - 3.5)/0.17076 [LessthanEqualto] Z [LessthanEqualTo] (3.9-3.5)/0.17076
0 ≤ Z ≤ 2.3424
=0.9904 - 0.5 = 49.04%
i have a feeling I'm way off
If any RS-ers wants to study for stats 201 my email is dhillon09@gmail.com (I check that way more than RS) so just email me your number and we can meet up!
Anyone ever take Econ 103 with Jun Choi or 105 with Eldar Sehic? I read some ratemyprof reviews and both check out pretty well. I need another Q credit, so I'm trying to figure out which class is easier because I'm pretty bad at doing math but need to fill out the WQB.