StatSheet - Google Drive


1	Symbol / Equation	Origin / Name (*Greek) (^math. sym.)	Use	Meaning	Unicode	UTF-8	HTML	Decimal	Hex	LaTeX	Image	Where in SPSS	Example

2	𝛂	* minuscule alpha	In statistical hypothesis testing, the probability of making a Type I error; Cronbach's index of internal consistency (a form of reliability)	The probability of making a Type 1 error	U+1D6C2	F0 9D 9B 82	α	&#55349;&#57026;	&#xD835;&#xDEC2;	\alpha
3	α	^ minuscule alpha			U+03B1	CE B1
4	𝛃	* minuscule beta	The probability of making a Type 2 error (1 - β denotes statistical power); population values of regression coefficients (with appropriate subscripts as needed)	The probability of making a Type 2 error	U+1D6C3	F0 9D 9B 83	β	&#55349;&#57027;	&#xD835;&#xDEC3;	\beta
5	β	^ minuscule beta			U+03B2	CE B2
6	𝛄	* majuscule gamma	Goodman-Kruskal's index of relationship		U+1D6C4	F0 9D 9B 84	γ	&#55349;&#57028;	&#xD835;&#xDEC4;	\gamma
7	Γ	^ majuscule gamma			U+0393	CE 93
8	𝚫	* majuscule delta	Increment of change		U+1D6AB	F0 9D 9A AB	Δ	&#55349;&#57003;	&#xD835;&#xDEAB;	\Delta
9	Δ	^ majuscule delta			U+0394	CE 94
10	𝛅	* minuscule delta	Population value of Cohen's effect size; noncentrality parameter in hypothesis testing and noncentral distributions	non-centrality measure	U+1D6C5	F0 9D 9B 85	δ	&#55349;&#57029;	&#xD835;&#xDEC5;	\delta
11	δ	^ minuscule delta			U+03B4	CE B4
12	𝛆²	* minuscule epsilon, squared	Measure of strength of relationship in analysis of variance (ANOVA)		U+1D6C6U+00B2	F0 9D 9B 86 C2 B2	ε²	&#55349;&#57030;²	&#xD835;&#xDEC6;²	(\epsilon)^2
13	𝛆	* minuscule epsilon	measure spherecity		U+1D6C6	F0 9D 9B 86	ε	&#55349;&#57030;	&#xD835;&#xDEC6;	\epsilon
14	ε	^ minuscule epsilon			U+03B5	CE B5
15	𝛈²	* minuscule eta, squared	measure of strength of relationship		U+1D6C8U+00B2	F0 9D 9B 88 C2 B2	η²	&#55349;&#57032;²	&#xD835;&#xDEC8;²	(\eta)^2
16	𝛈	* minuscule eta	the partial regression coefficient		U+1D6C8	F0 9D 9B 88	η	&#55349;&#57032;	&#xD835;&#xDEC8;	\eta
17	η	^ minuscule eta			U+03B7	CE B7
18	𝛒	* minuscule rho	Population product-moment correlation		U+1D6D2	F0 9D 9B 92	ρ	&#55349;&#57042;	&#xD835;&#xDED2;	\rho
19	𝛑	* minuscule pi			U+1D6D1	F0 9D 9B 91	π	&#55349;&#57041;	&#xD835;&#xDED1;	\pi
20	𝚷	* majuscule pi		N-ary product sign derived from the majuscule pi	U+1D6B7 (U+D835 U+DEB7)	F0 9D 9A B7	Π	&#55349;&#57015;	&#xD835;&#xDEB7;	\Pi
21	𝚹	* capital letter theta	Roy's multivariate test criterion		U+1D6B9	F0 9D 9A B9	Θ	&#55349;&#57017;	&#xD835;&#xDEB9;	\Theta
22	Θ	^ capital letter theta			U+0398	CE 98
23	𝛉 <sub>k</sub>	* minuscule theta, subscript minuscule k	Generic effect size in meta analysis		U+1D6C9	F0 9D 9B 89	θ	&#55349;&#57033;	&#xD835;&#xDEC9;	\theta
24	θ				U+03B8	CE B8
25	𝛋	* minuscule kappa	Cohen's measure of agreement corrected for chance agreement		U+1D6CB	F0 9D 9B 8B	κ	&#55349;&#57035;	&#xD835;&#xDECB;	\kappa
26	κ				U+03BA	CE BA
27	𝚲	* majuscule lamda	Wilks's multivariate test criterion		U+1D6B2	F0 9D 9A B2	&Lamda;	&#55349;&#57010;	&#xD835;&#xDEB2;	\Lamda
28	Λ				U+039B	CE 9B
29	𝛌	* minuscule lamda	Element of a factor loading matrix; Goodman-Kruskal measure of predictability		U+1D6CC	F0 9D 9B 8C	&lamda;	&#55349;&#57036;	&#xD835;&#xDECC;	\lamda
30	λ				U+03BB	CE BB
31	𝛍	* minuscule mu	Population mean; expected value		U+1D6CD	F0 9D 9B 8D	μ	&#55349;&#57037;	&#xD835;&#xDECD;	\mu
32	𝛎	* minuscule nu	Degrees of freedom		U+1D6CE	F0 9D 9B 8E	ν	&#55349;&#57038;	&#xD835;&#xDECE;	\nu
33	𝚺	* majuscule sigma	Summation; Population variance--covariance matrix	N-ary summation sign derived from the majuscule sigma	U+1D6BA (U+D835 U+DEBA)	F0 9D 9A BA	Σ	&#55349;&#57018;	&#xD835;&#xDEBA;	\Sigma
34	Σ				U+03A3	CE A3
35	𝛔²	* minuscule sigma squared	Population variance		U+1D6D4U+00B2	F0 9D 9B 94 C2 B2	σ²	&#55349;&#57044;²	&#xD835;&#xDED4;²	(\sigma)^2
36	𝛔	* minuscule sigma	Population standard deviation		U+1D6D4	F0 9D 9B 94	σ	&#55349;&#57044;	&#xD835;&#xDED4;	\sigma
37	σ				U+03C3	CF 83
38	𝛕	* minuscule tau	Kendall's rank-order correlation coefficient; Hotelling's multi-variate trace criterion		U+1D6D5	F0 9D 9B 95	τ	&#55349;&#57045;	&#xD835;&#xDED5;	\tau
39	τ				U+03C4	CF 84
40	𝚽	* majuscule phi	Measure of association in contingency tables; standard normal cumulative distribution funciton		U+1D6BD	F0 9D 9A BD	Φ	&#55349;&#57021;	&#xD835;&#xDEBD;	\Phi
41	Φ				U+03A6	CE A6
42	𝛗	* minuscule phi	Standard normal probability density function		U+1D6D7	F0 9D 9B 97	φ	&#55349;&#57047;	&#xD835;&#xDED7;	\phi
43	φ				U+03C6	CF 86
44	𝛘²	* minuscule chi, squared	The chi-square distribution; a statistical test based on the chi-square distribution; the sample value of the chi-square test statistic		U+1D6D8U+00B2	F0 9D 9B 98 C2 B2	χ²	&#55349;&#57048;²	&#xD835;&#xDED8;²	(\chi)^2
45	𝛘	* minuscule chi			U+1D6D8	F0 9D 9B 98	χ	&#55349;&#57048;	&#xD835;&#xDED8;	\chi
46	χ				U+03C7	CF 87
47	𝚿	* majuscule psi	In statistical hypothesis testing, a statistical contrast		U+1D6BF	F0 9D 9A BF	Ψ	&#55349;&#57023;	&#xD835;&#xDEBF;	\Psi
48	Ψ				U+03A8	CE A8
49	𝛚²	* minuscule omega, squared	strength of a statistical relationship		U+1D6DAU+00B2		ω²	&#55349;&#57050;²	&#xD835;&#xDEDA;²	(\omega)^2
50	𝛚	* minuscule omega			U+1D6DA	F0 9D 9B 9A	ω	&#55349;&#57050;	&#xD835;&#xDEDA;	\omega
51	ω				U+03C9	CF 89
52	x̄	x-bar			U+0078U+0304	78 CC 84	x̄	x̄	x̄	\bar{x}
53	²	square sign; the power of two		multiply the X by itself once	U+00B2	C2 B2	²	²	²	^2
54	+	plus sign		add	U+002B	2B
55	−	minus sign		subtract	U+002D	2D
56	=	equals sign		equals	U+003D	3D
57	≠	not equal to		does not equal	U+2260	E2 89 A0
58	≈	almost equal to		almost equals	U+2248	E2 89 88
59	√	square root			U+221A	E2 88 9A
60	∞	infinity		without end	U+221E	E2 88 9E
61	<	less than sign			U+003C	3C
62	>	greater than sign			U+003E	3E
63	≤	less than or equal to			U+2264	E2 89 A4
64	≥	greater than or equal to			U+2265	E2 89 A5
65	≮	not less than			U+226E	E2 89 AE
66	≯	not greater than			U+226F	E2 89 AF
67	×	multiply			U+00D7	C3 97
68	÷	division			U+00F7	C3 B7
69	±	plus minus			U+00B1	C2 B1
70	≫	much greater than			U+226B	E2 89 AB
71	≪	much less than			U+226A	E2 89 AA
72	∝	proportional to			U+221D	E2 88 9D
73	∛	cube root			U+221B	E2 88 9B
74	(	left parenthesis			U+0028	28
75	)	right parenthesis			U+0029	29
76	⁽	superscript left parenthesis			U+207D	E2 81 BD
77	⁾	superscript right parenthesis			U+207E	E2 81 BE
78	₍				U+208D	E2 82 8D
79	₎				U+208E	E2 82 8E
80	∴	therefore			U+2234	E2 88 B4
81	∵	because			U+2235	E2 88 B5
82	∶	ratio			U+2236	E2 88 B6
83	∷	proportion			U+2237	E2 88 B7
84	f
85	i
86	n
87	z
88	ˆ	add a circumflex as a symbol modifier to show something is an estimate or estimator			U+02C6	CB 86				\hat{x}
89	Go through Hurlburt's text for equations
90	http://en.wikipedia.org/wiki/*_letters_used_in_mathematics,_science,_and_engineering
91	http://htmlhelp.com/reference/html40/entities/symbols.html
92	http://en.wiktionary.org/wiki/Appendix:Unicode/Superscripts_and_Subscripts
93	http://code.cside.com/3rdpage/us/unicode/converter.html
94	http://www.artofproblemsolving.com/Wiki/index.php/LaTeX:Symbols
95	http://www.fileformat.info/info/unicode/char/2096/index.htm
96	http://rishida.net/tools/conversion/
97	http://www.w3schools.com/tags/ref_symbols.asp
98	http://www.w3schools.com/tags/ref_symbols.asp
99	http://www.w3.org/wiki/HTML/Elements/math
100	http://www.w3.org/Math/mathml-faq.html
101	http://www.w3.org/MarkUp/html3/maths.html