Original question and givens
S={0,…,2}, F=P(S), masses=[3, 2, 1], D=6, and w_i=mass_i/D. Masses are nonnegative and sum exactly to D; uniform weights are not assumed. X=[-2, 2, 3] in index order. Give (E[X²], (E[X])²), distinguishing the two expressions. Use exact reduced fractions with positive denominators, retaining /1 for integers.
G001 — S={0,…,2}, F=P(S), masses=[3, 2, 1], D=6, and w_i=mass_i/D. Masses are nonnegative and sum exactly to D; uniform weights are not assumed. X=[-2, 2, 3] in index order. Give (E[X²], (E[X])²), distinguishing the two expressions. Use exact reduced fractions with positive denominators, retaining /1 for integers.
Step-by-step derivation
S001 · calculation
Before
total mass numerator := sum(3, 2, 1)
After
total mass numerator = 6
Conditions: none
Nonnegative masses must sum to D to give total probability1.
Step identifiers and dependencies
Rule: exact_rational_arithmetic · Uses: G001
S002 · calculation
Before
probability weight0 := div(3, 6)
After
probability weight0 = 1/2
Conditions: none
Divide the indexed mass by the common positive denominator D.
Step identifiers and dependencies
Rule: exact_rational_arithmetic · Uses: G001, S001
S003 · calculation
Before
probability weight1 := div(2, 6)
After
probability weight1 = 1/3
Conditions: none
Divide the indexed mass by the common positive denominator D.
Step identifiers and dependencies
Rule: exact_rational_arithmetic · Uses: G001, S002
S004 · calculation
Before
probability weight2 := div(1, 6)
After
probability weight2 = 1/6
Conditions: none
Divide the indexed mass by the common positive denominator D.
Step identifiers and dependencies
Rule: exact_rational_arithmetic · Uses: G001, S003
S005 · implies
Before
values=[-2, 2, 3];weights=[1/2, 1/3, 1/6]
After
known finite probability law,not a sampled estimate
Conditions: none
This is the complete normalized probability law,so variance uses its probability weights,not an n−1 sample estimate.Retain original indices of zero-mass outcomes.
Step identifiers and dependencies
Rule: probability_variance_scope · Uses: G001, S004
S006 · calculation
Before
target variable weighted value0 := mul(1/2, -2)
After
target variable weighted value0 = -1
Conditions: none
Multiply aligned probabilities and values,retaining negative values and zero weights exactly.
Step identifiers and dependencies
Rule: exact_rational_arithmetic · Uses: G001, S005
S007 · calculation
Before
target variable weighted value1 := mul(1/3, 2)
After
target variable weighted value1 = 2/3
Conditions: none
Multiply aligned probabilities and values,retaining negative values and zero weights exactly.
Step identifiers and dependencies
Rule: exact_rational_arithmetic · Uses: G001, S006
S008 · calculation
Before
target variable weighted value2 := mul(1/6, 3)
After
target variable weighted value2 = 1/2
Conditions: none
Multiply aligned probabilities and values,retaining negative values and zero weights exactly.
Step identifiers and dependencies
Rule: exact_rational_arithmetic · Uses: G001, S007
S009 · calculation
Before
target variable mean := sum(-1, 2/3, 1/2)
After
target variable mean = 1/6
Conditions: none
Add every weighted term to obtain the exact mean.
Step identifiers and dependencies
Rule: exact_rational_arithmetic · Uses: G001, S008
S010 · calculation
Before
pointwise square0 := square(-2)
After
pointwise square0 = 4
Conditions: none
The second moment squares each point value before weighting.
Step identifiers and dependencies
Rule: exact_rational_arithmetic · Uses: G001, S009
S011 · calculation
Before
pointwise square1 := square(2)
After
pointwise square1 = 4
Conditions: none
The second moment squares each point value before weighting.
Step identifiers and dependencies
Rule: exact_rational_arithmetic · Uses: G001, S010
S012 · calculation
Before
pointwise square2 := square(3)
After
pointwise square2 = 9
Conditions: none
The second moment squares each point value before weighting.
Step identifiers and dependencies
Rule: exact_rational_arithmetic · Uses: G001, S011
S013 · calculation
Before
squared variable weighted value0 := mul(1/2, 4)
After
squared variable weighted value0 = 2
Conditions: none
Multiply aligned probabilities and values,retaining negative values and zero weights exactly.
Step identifiers and dependencies
Rule: exact_rational_arithmetic · Uses: G001, S012
S014 · calculation
Before
squared variable weighted value1 := mul(1/3, 4)
After
squared variable weighted value1 = 4/3
Conditions: none
Multiply aligned probabilities and values,retaining negative values and zero weights exactly.
Step identifiers and dependencies
Rule: exact_rational_arithmetic · Uses: G001, S013
S015 · calculation
Before
squared variable weighted value2 := mul(1/6, 9)
After
squared variable weighted value2 = 3/2
Conditions: none
Multiply aligned probabilities and values,retaining negative values and zero weights exactly.
Step identifiers and dependencies
Rule: exact_rational_arithmetic · Uses: G001, S014
S016 · calculation
Before
squared variable mean := sum(2, 4/3, 3/2)
After
squared variable mean = 29/6
Conditions: none
Add every weighted term to obtain the exact mean.
Step identifiers and dependencies
Rule: exact_rational_arithmetic · Uses: G001, S015
S017 · calculation
Before
mean squared := square(1/6)
After
mean squared = 1/36
Conditions: none
The squared mean instead averages first and then squares;the order differs.
Step identifiers and dependencies
Rule: exact_rational_arithmetic · Uses: G001, S016
S018 · implies
Before
E[X²]=29/6;(E[X])²=1/36
After
Var(X)=E[X²]−(E[X])² under this finite law
Conditions: none
These two values are distinct operations;their difference is the variance of the complete law.Report them in the requested order without a sample correction.
Step identifiers and dependencies
Rule: second_moment_vs_squared_mean · Uses: G001, S017