Original post by username5156602
..
bruh does no want to talk about it
Reply 2
Original post by sid.G
bruh does no want to talk about it
How did ppl find it
a = 0.25, b = 0.35, c = 0.3
var(y) = 1.775
var(t) = 1.8
r = 0.40009
weak linear
0.4009 < 0.4259 (accept)
weight/height (different?)
u = 11.1625
var = 3.7834 (unbiased)
0.02893 > 0.025 (accept)
11c5 = 792
2% sig - 19 (792*0.02 = 15.84>12)
m,n wrong
poisson - indep+avg constant
3.55 ≠5.6475
H0 = Po(3.55)
1.831 (how much 3 contributes)
13.1716>11.07 (reject)
not independent
19/33
1/66
1/22
5/22
same if yellows numbers
min value of squares (0)
x is NOT dependent/response
314/21 (x=8)
m = -83/84 ≈ -1
E(x) = 0.6188
a = 1.62
F(1/3) * 100 = 16.8
F(2/3) * 100 = 51.8
F(1) * 100 = 100
Cumulative Freq -> pretty valid
var(y) = 1.775
var(t) = 1.8
r = 0.40009
weak linear
0.4009 < 0.4259 (accept)
weight/height (different?)
u = 11.1625
var = 3.7834 (unbiased)
0.02893 > 0.025 (accept)
11c5 = 792
2% sig - 19 (792*0.02 = 15.84>12)
m,n wrong
poisson - indep+avg constant
3.55 ≠5.6475
H0 = Po(3.55)
1.831 (how much 3 contributes)
13.1716>11.07 (reject)
not independent
19/33
1/66
1/22
5/22
same if yellows numbers
min value of squares (0)
x is NOT dependent/response
314/21 (x=8)
m = -83/84 ≈ -1
E(x) = 0.6188
a = 1.62
F(1/3) * 100 = 16.8
F(2/3) * 100 = 51.8
F(1) * 100 = 100
Cumulative Freq -> pretty valid
Original post by username5156602
..
How was it? I take Mechanics and Additional Pure (because my brain is allergic to statistics 💀) but I'm curious
Original post by jonathonc
a = 0.25, b = 0.35, c = 0.3
var(y) = 1.775
var(t) = 1.8
r = 0.40009
weak linear
0.4009 < 0.4259 (accept)
weight/height (different?)
u = 11.1625
var = 3.7834 (unbiased)
0.02893 > 0.025 (accept)
11c5 = 792
2% sig - 19 (792*0.02 = 15.84>12)
m,n wrong
poisson - indep+avg constant
3.55 ≠5.6475
H0 = Po(3.55)
1.831 (how much 3 contributes)
13.1716>11.07 (reject)
not independent
19/33
1/66
1/22
5/22
same if yellows numbers
min value of squares (0)
x is NOT dependent/response
314/21 (x=8)
m = -83/84 ≈ -1
E(x) = 0.6188
a = 1.62
F(1/3) * 100 = 16.8
F(2/3) * 100 = 51.8
F(1) * 100 = 100
Cumulative Freq -> pretty valid
var(y) = 1.775
var(t) = 1.8
r = 0.40009
weak linear
0.4009 < 0.4259 (accept)
weight/height (different?)
u = 11.1625
var = 3.7834 (unbiased)
0.02893 > 0.025 (accept)
11c5 = 792
2% sig - 19 (792*0.02 = 15.84>12)
m,n wrong
poisson - indep+avg constant
3.55 ≠5.6475
H0 = Po(3.55)
1.831 (how much 3 contributes)
13.1716>11.07 (reject)
not independent
19/33
1/66
1/22
5/22
same if yellows numbers
min value of squares (0)
x is NOT dependent/response
314/21 (x=8)
m = -83/84 ≈ -1
E(x) = 0.6188
a = 1.62
F(1/3) * 100 = 16.8
F(2/3) * 100 = 51.8
F(1) * 100 = 100
Cumulative Freq -> pretty valid
What was the combinatorics question.
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