Pages in this set

Page 1

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Statistics 1
Formulae Representation
and Summary
·x=
x n
fx f

·=
=
2

· Sk
2
x2 n

-(
x n

)
2

=
fx2 f

-(
fx f

)
) Correlation and Regression
·S
xx

=
3(x-Q
2
(fx)2 f

·S
yy

= (x2) -
(x)2 n

=…

Page 2

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·S
xy

= (y2) -
(y)2 n

= (fy2) -
(fx)(fy) f

·r=
= (xy) -
(x)(y) n

= (fxy) -
S
xy S
xx
×S
yy

·b=
SS
xy
xx

·a=
y n

- b(
x n

)=
fy f

-b(
fx f

)
Probability · P(A B) =…

Page 3

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· E(aX + b) = aE(X) + b
· Var(aX + b) = a2Var(X) The
Normal Distribution
· P(X < a) = P(Z <
a-

)

Page 4

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Notes Tips Mathematical Models
1. A real world problem is observed 2. A mathematical model is devised 3. The mathematical
model is used to make predicted
outcomes of the real world problem 4. Experimental data is collected and used to make
observed outcomes of the real world problem 5. The…

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Pages in this set

Page 1

Preview of page 1
Statistics 1
Formulae Representation
and Summary
·x=
x n
fx f

·=
=
2

· Sk
2
x2 n

-(
x n

)
2

=
fx2 f

-(
fx f

)
) Correlation and Regression
·S
xx

=
3(x-Q
2
(fx)2 f

·S
yy

= (x2) -
(x)2 n

=…

Page 2

Preview of page 2
·S
xy

= (y2) -
(y)2 n

= (fy2) -
(fx)(fy) f

·r=
= (xy) -
(x)(y) n

= (fxy) -
S
xy S
xx
×S
yy

·b=
SS
xy
xx

·a=
y n

- b(
x n

)=
fy f

-b(
fx f

)
Probability · P(A B) =…

Page 3

Preview of page 3
· E(aX + b) = aE(X) + b
· Var(aX + b) = a2Var(X) The
Normal Distribution
· P(X < a) = P(Z <
a-

)

Page 4

Preview of page 4
Notes Tips Mathematical Models
1. A real world problem is observed 2. A mathematical model is devised 3. The mathematical
model is used to make predicted
outcomes of the real world problem 4. Experimental data is collected and used to make
observed outcomes of the real world problem 5. The…

Comments

No comments have yet been made