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QMB 3200 Final Part A: Symbols
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42 Terms
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1
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Σ
Sigma, or sum
2
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μ, x̅
Population mean, sample mean
3
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σ, s
Population standard deviation, sample standard deviation
4
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p, p̅
Population proportion, sample proportion
5
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N, N
Population size, sample size
6
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σ_x ̅
Standard deviation of x̅, Dr. Crook calls it the STANDARD ERROR
7
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E(any parameter)
Expected value
8
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α
Level of significance
9
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z
Z score
10
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E
Margin of Error
11
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H_o
Null Hypothesis
12
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H_a
Alternate Hypothesis
13
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σ_1,σ_2
Standard Deviations of Populations 1 and 2
14
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μ_1,μ_2
Means of Populations 1 and 2
15
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x ̅_1,x ̅_2
Means of Samples 1 and 2 from populations 1 and 2
16
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df
Degrees of Freedom
17
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p_1,p_2
Proportions of Populations 1 and 2
18
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p ̅_1,p ̅_2
Proportions of Samples 1 and 2 from populations 1 and 2
19
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σ_(p ̅1-p ̅2)
STANDARD ERROR of the difference of the sample proportions
20
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β_0,β_1
Parameters in the Regression model/equation
21
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ϵ
Error term
22
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ŷ
Simple linear regression number
23
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ŷ_i
Predicted value for element i
24
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SSE
Sum of Squares Error
25
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SST
Sum of Squares Total
26
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SSR
Sum of squares regression
27
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y̅
The linear regression line
28
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r^2
Coefficient of Determination
29
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r
Correlation coefficient
30
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r_xy
Sample Correlation Coefficient
31
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σ^2
Variance of the error term
32
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t
T statistic
33
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F
F statistic
34
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MSR
Mean Square due to regression
35
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MSE
Mean Square due to error
36
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x^*
Given value of the independent variable x
37
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y^*
The random variable denoting the possible values of the dependent variable y when x=x*
38
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Multiple R
Sample correlation coefficient
39
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R-square
Coefficient of determination
40
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Adjusted R-square
Not for simple linear regression
41
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Standard Error
Estimate of the population STD
42
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Observations
Count of the sample
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