1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
|
<?xml version="1.0" encoding="UTF-8"?>
<helpdocument version="1.0">
<!--
***********************************************************************
*
* DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER.
*
* Copyright 2000, 2010 Oracle and/or its affiliates.
*
* OpenOffice.org - a multi-platform office productivity suite
*
* This file is part of OpenOffice.org.
*
* OpenOffice.org is free software: you can redistribute it and/or modify
* it under the terms of the GNU Lesser General Public License version 3
* only, as published by the Free Software Foundation.
*
* OpenOffice.org is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU Lesser General Public License version 3 for more details
* (a copy is included in the LICENSE file that accompanied this code).
*
* You should have received a copy of the GNU Lesser General Public License
* version 3 along with OpenOffice.org. If not, see
* <http://www.openoffice.org/license.html>
* for a copy of the LGPLv3 License.
*
************************************************************************
-->
<meta>
<topic id="textscalc0104060182xml" indexer="include">
<title xml-lang="en-US" id="tit">Statistical Functions Part Two</title>
<filename>/text/scalc/01/04060182.xhp</filename>
</topic>
</meta>
<body>
<paragraph xml-lang="en-US" id="hd_id3154372" role="heading" level="1" l10n="U" oldref="1"><variable id="fh"><link href="text/scalc/01/04060182.xhp" name="Statistical Functions Part Two">Statistical Functions Part Two</link>
</variable></paragraph>
<sort order="asc">
<section id="finv">
<bookmark xml-lang="en-US" branch="index" id="bm_id3145388"><bookmark_value>FINV function</bookmark_value>
<bookmark_value>inverse F probability distribution</bookmark_value>
</bookmark><comment>mw added one entry</comment>
<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_FINV" id="bm_id3146113" localize="false"/>
<paragraph xml-lang="en-US" id="hd_id3145388" role="heading" level="2" l10n="U" oldref="2">FINV</paragraph>
<paragraph xml-lang="en-US" id="par_id3155089" role="paragraph" l10n="U" oldref="3"><ahelp hid="HID_FUNC_FINV">Returns the inverse of the F probability distribution.</ahelp> The F distribution is used for F tests in order to set the relation between two differing data sets.</paragraph>
<paragraph xml-lang="en-US" id="hd_id3153816" role="heading" level="3" l10n="U" oldref="4">Syntax</paragraph>
<paragraph xml-lang="en-US" id="par_id3153068" role="code" l10n="U" oldref="5">FINV(Number; DegreesFreedom1; DegreesFreedom2)</paragraph>
<paragraph xml-lang="en-US" id="par_id3146866" role="paragraph" l10n="U" oldref="6">
<emph>Number</emph> is probability value for which the inverse F distribution is to be calculated.</paragraph>
<paragraph xml-lang="en-US" id="par_id3153914" role="paragraph" l10n="U" oldref="7">
<emph>DegreesFreedom1</emph> is the number of degrees of freedom in the numerator of the F distribution.</paragraph>
<paragraph xml-lang="en-US" id="par_id3148607" role="paragraph" l10n="U" oldref="8">
<emph>DegreesFreedom2</emph> is the number of degrees of freedom in the denominator of the F distribution.</paragraph>
<paragraph xml-lang="en-US" id="hd_id3156021" role="heading" level="3" l10n="U" oldref="9">Example</paragraph>
<paragraph xml-lang="en-US" id="par_id3145073" role="paragraph" l10n="U" oldref="10">
<item type="input">=FINV(0.5;5;10)</item> yields 0.93.</paragraph>
</section>
<section id="fisher">
<bookmark xml-lang="en-US" branch="index" id="bm_id3150888"><bookmark_value>FISHER function</bookmark_value>
</bookmark>
<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_FISHER" id="bm_id3146782" localize="false"/>
<paragraph xml-lang="en-US" id="hd_id3150888" role="heading" level="2" l10n="U"
oldref="12">FISHER</paragraph>
<paragraph xml-lang="en-US" id="par_id3155384" role="paragraph" l10n="U" oldref="13"><ahelp hid="HID_FUNC_FISHER">Returns the Fisher transformation for x and creates a function close to a normal distribution.</ahelp></paragraph>
<paragraph xml-lang="en-US" id="hd_id3149898" role="heading" level="3" l10n="U"
oldref="14">Syntax</paragraph>
<paragraph xml-lang="en-US" id="par_id3143220" role="code" l10n="U" oldref="15">FISHER(Number)</paragraph>
<paragraph xml-lang="en-US" id="par_id3159228" role="paragraph" l10n="U" oldref="16">
<emph>Number</emph> is the value to be transformed.</paragraph>
<paragraph xml-lang="en-US" id="hd_id3154763" role="heading" level="3" l10n="U"
oldref="17">Example</paragraph>
<paragraph xml-lang="en-US" id="par_id3149383" role="paragraph" l10n="U" oldref="18">
<item type="input">=FISHER(0.5)</item> yields 0.55.</paragraph>
</section>
<section id="fisherinv">
<bookmark xml-lang="en-US" branch="index" id="bm_id3155758"><bookmark_value>FISHERINV function</bookmark_value>
<bookmark_value>inverse of Fisher transformation</bookmark_value>
</bookmark><comment>mw added one entry</comment>
<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_FISHERINV" id="bm_id3149317" localize="false"/>
<paragraph xml-lang="en-US" id="hd_id3155758" role="heading" level="2" l10n="U"
oldref="20">FISHERINV</paragraph>
<paragraph xml-lang="en-US" id="par_id3154734" role="paragraph" l10n="U" oldref="21"><ahelp hid="HID_FUNC_FISHERINV">Returns the inverse of the Fisher transformation for x and creates a function close to a normal distribution.</ahelp></paragraph>
<paragraph xml-lang="en-US" id="hd_id3155755" role="heading" level="3" l10n="U"
oldref="22">Syntax</paragraph>
<paragraph xml-lang="en-US" id="par_id3146108" role="code" l10n="U" oldref="23">FISHERINV(Number)</paragraph>
<paragraph xml-lang="en-US" id="par_id3145115" role="paragraph" l10n="U" oldref="24">
<emph>Number</emph> is the value that is to undergo reverse-transformation.</paragraph>
<paragraph xml-lang="en-US" id="hd_id3155744" role="heading" level="3" l10n="U"
oldref="25">Example</paragraph>
<paragraph xml-lang="en-US" id="par_id3150432" role="paragraph" l10n="U" oldref="26">
<item type="input">=FISHERINV(0.5)</item> yields 0.46.</paragraph>
</section>
<section id="ftest">
<bookmark xml-lang="en-US" branch="index" id="bm_id3151390"><bookmark_value>FTEST function</bookmark_value>
</bookmark>
<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_FTEST" id="bm_id3159263" localize="false"/>
<paragraph xml-lang="en-US" id="hd_id3151390" role="heading" level="2" l10n="U"
oldref="28">FTEST</paragraph>
<paragraph xml-lang="en-US" id="par_id3150534" role="paragraph" l10n="U" oldref="29"><ahelp hid="HID_FUNC_FTEST">Returns the result of an F test.</ahelp></paragraph>
<paragraph xml-lang="en-US" id="hd_id3166466" role="heading" level="3" l10n="U"
oldref="30">Syntax</paragraph>
<paragraph xml-lang="en-US" id="par_id3153024" role="code" l10n="U" oldref="31">FTEST(Data1; Data2)</paragraph>
<paragraph xml-lang="en-US" id="par_id3150032" role="paragraph" l10n="U" oldref="32">
<emph>Data1</emph> is the first record array.</paragraph>
<paragraph xml-lang="en-US" id="par_id3153018" role="paragraph" l10n="U" oldref="33">
<emph>Data2</emph> is the second record array.</paragraph>
<paragraph xml-lang="en-US" id="hd_id3153123" role="heading" level="3" l10n="U"
oldref="34">Example</paragraph>
<paragraph xml-lang="en-US" id="par_id3159126" role="paragraph" l10n="U" oldref="35">
<item type="input">=FTEST(A1:A30;B1:B12)</item> calculates whether the two data sets are different in their variance and returns the probability that both sets could have come from the same total population.</paragraph>
</section>
<section id="fdist">
<bookmark xml-lang="en-US" branch="index" id="bm_id3150372"><bookmark_value>FDIST function</bookmark_value>
</bookmark>
<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_FVERT" id="bm_id3149722" localize="false"/>
<paragraph xml-lang="en-US" id="hd_id3150372" role="heading" level="2" l10n="U"
oldref="37">FDIST</paragraph>
<paragraph xml-lang="en-US" id="par_id3152981" role="paragraph" l10n="U" oldref="38"><ahelp hid="HID_FUNC_FVERT">Calculates the values of an F distribution.</ahelp></paragraph>
<paragraph xml-lang="en-US" id="hd_id3150484" role="heading" level="3" l10n="U"
oldref="39">Syntax</paragraph>
<paragraph xml-lang="en-US" id="par_id3145826" role="code" l10n="U" oldref="40">FDIST(Number; DegreesFreedom1; DegreesFreedom2)</paragraph>
<paragraph xml-lang="en-US" id="par_id3150461" role="paragraph" l10n="U" oldref="41">
<emph>Number</emph> is the value for which the F distribution is to be calculated.</paragraph>
<paragraph xml-lang="en-US" id="par_id3150029" role="paragraph" l10n="U" oldref="42">
<emph>degreesFreedom1</emph> is the degrees of freedom in the numerator in the F distribution.</paragraph>
<paragraph xml-lang="en-US" id="par_id3146877" role="paragraph" l10n="U" oldref="43">
<emph>degreesFreedom2</emph> is the degrees of freedom in the denominator in the F distribution.</paragraph>
<paragraph xml-lang="en-US" id="hd_id3147423" role="heading" level="3" l10n="U"
oldref="44">Example</paragraph>
<paragraph xml-lang="en-US" id="par_id3150696" role="paragraph" l10n="U" oldref="45">
<item type="input">=FDIST(0.8;8;12)</item> yields 0.61.</paragraph>
</section>
<section id="gamma">
<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_GAMMA" id="bm_id0119200903221254" localize="false"/>
<bookmark xml-lang="en-US" branch="index" id="bm_id0119200903223192"><bookmark_value>GAMMA function</bookmark_value>
</bookmark>
<paragraph xml-lang="en-US" id="hd_id0119200903205393" role="heading" level="2" l10n="NEW">GAMMA</paragraph>
<paragraph xml-lang="en-US" id="par_id0119200903205379" role="paragraph" l10n="NEW"><ahelp hid=".">Returns the Gamma function value.</ahelp> Note that GAMMAINV is not the inverse of GAMMA, but of GAMMADIST.</paragraph>
<paragraph xml-lang="en-US" id="hd_id0119200903271613" role="heading" level="3" l10n="NEW">Syntax</paragraph>
<paragraph xml-lang="en-US" id="par_id0119200903271614" role="paragraph" l10n="NEW">
<emph>Number</emph> is the number for which the Gamma function value is to be calculated.</paragraph>
</section>
<section id="gammainv">
<bookmark xml-lang="en-US" branch="index" id="bm_id3154841"><bookmark_value>GAMMAINV function</bookmark_value>
</bookmark>
<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_GAMMAINV" id="bm_id3149249" localize="false"/>
<paragraph xml-lang="en-US" id="hd_id3154841" role="heading" level="2" l10n="U"
oldref="47">GAMMAINV</paragraph>
<paragraph xml-lang="en-US" id="par_id3153932" role="paragraph" l10n="U" oldref="48"><ahelp hid="HID_FUNC_GAMMAINV">Returns the inverse of the Gamma cumulative distribution GAMMADIST.</ahelp> This function allows you to search for variables with different distribution.</paragraph>
<paragraph xml-lang="en-US" id="hd_id3149949" role="heading" level="3" l10n="U"
oldref="49">Syntax</paragraph>
<paragraph xml-lang="en-US" id="par_id3155828" role="code" l10n="U" oldref="50">GAMMAINV(Number; Alpha; Beta)</paragraph>
<paragraph xml-lang="en-US" id="par_id3145138" role="paragraph" l10n="U" oldref="51">
<emph>Number</emph> is the probability value for which the inverse Gamma distribution is to be calculated.</paragraph>
<paragraph xml-lang="en-US" id="par_id3152785" role="paragraph" l10n="U" oldref="52">
<emph>Alpha</emph> is the parameter Alpha of the Gamma distribution.</paragraph>
<paragraph xml-lang="en-US" id="par_id3154561" role="paragraph" l10n="U" oldref="53">
<emph>Beta</emph> is the parameter Beta of the Gamma distribution.</paragraph>
<paragraph xml-lang="en-US" id="hd_id3148734" role="heading" level="3" l10n="U"
oldref="54">Example</paragraph>
<paragraph xml-lang="en-US" id="par_id3153331" role="paragraph" l10n="U" oldref="55">
<item type="input">=GAMMAINV(0.8;1;1)</item> yields 1.61.</paragraph>
</section>
<section id="gammaln">
<bookmark xml-lang="en-US" branch="index" id="bm_id3154806"><bookmark_value>GAMMALN function</bookmark_value>
<bookmark_value>natural logarithm of Gamma function</bookmark_value>
</bookmark><comment>mw added one entry</comment>
<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_GAMMALN" id="bm_id3149511" localize="false"/>
<paragraph xml-lang="en-US" id="hd_id3154806" role="heading" level="2" l10n="U"
oldref="57">GAMMALN</paragraph>
<paragraph xml-lang="en-US" id="par_id3148572" role="paragraph" l10n="U" oldref="58"><ahelp hid="HID_FUNC_GAMMALN">Returns the natural logarithm of the Gamma function: G(x).</ahelp></paragraph>
<paragraph xml-lang="en-US" id="hd_id3152999" role="heading" level="3" l10n="U"
oldref="59">Syntax</paragraph>
<paragraph xml-lang="en-US" id="par_id3153112" role="code" l10n="U" oldref="60">GAMMALN(Number)</paragraph>
<paragraph xml-lang="en-US" id="par_id3154502" role="paragraph" l10n="U" oldref="61">
<emph>Number</emph> is the value for which the natural logarithm of the Gamma function is to be calculated.</paragraph>
<paragraph xml-lang="en-US" id="hd_id3153568" role="heading" level="3" l10n="U"
oldref="62">Example</paragraph>
<paragraph xml-lang="en-US" id="par_id3153730" role="paragraph" l10n="U" oldref="63">
<item type="input">=GAMMALN(2)</item> yields 0.</paragraph>
</section>
<section id="gammadist">
<bookmark xml-lang="en-US" branch="index" id="bm_id3150132"><bookmark_value>GAMMADIST function</bookmark_value>
</bookmark>
<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_GAMMAVERT" id="bm_id3154330" localize="false"/>
<paragraph xml-lang="en-US" id="hd_id3150132" role="heading" level="2" l10n="U"
oldref="65">GAMMADIST</paragraph>
<paragraph xml-lang="en-US" id="par_id3155931" role="paragraph" l10n="U" oldref="66"><ahelp hid="HID_FUNC_GAMMAVERT">Returns the values of a Gamma distribution.</ahelp></paragraph>
<paragraph xml-lang="en-US" id="par_id0119200903333675" role="paragraph" l10n="NEW">The inverse function is GAMMAINV.</paragraph>
<paragraph xml-lang="en-US" id="hd_id3147373" role="heading" level="3" l10n="U"
oldref="67">Syntax</paragraph>
<paragraph xml-lang="en-US" id="par_id3155436" role="code" l10n="U" oldref="68">GAMMADIST(Number; Alpha; Beta; C)</paragraph>
<paragraph xml-lang="en-US" id="par_id3150571" role="paragraph" l10n="U" oldref="69">
<emph>Number</emph> is the value for which the Gamma distribution is to be calculated.</paragraph>
<paragraph xml-lang="en-US" id="par_id3145295" role="paragraph" l10n="U" oldref="70">
<emph>Alpha</emph> is the parameter Alpha of the Gamma distribution.</paragraph>
<paragraph xml-lang="en-US" id="par_id3151015" role="paragraph" l10n="U" oldref="71">
<emph>Beta</emph> is the parameter Beta of the Gamma distribution</paragraph>
<paragraph xml-lang="en-US" id="par_id3157972" role="paragraph" l10n="CHG" oldref="72">
<emph>C</emph> (optional) = 0 or False calculates the density function <emph>C</emph> = 1 or True calculates the distribution.</paragraph>
<paragraph xml-lang="en-US" id="hd_id3149535" role="heading" level="3" l10n="U"
oldref="73">Example</paragraph>
<paragraph xml-lang="en-US" id="par_id3145354" role="paragraph" l10n="U" oldref="74">
<item type="input">=GAMMADIST(2;1;1;1)</item> yields 0.86.</paragraph>
</section>
<section id="gauss">
<bookmark xml-lang="en-US" branch="index" id="bm_id3150272"><bookmark_value>GAUSS function</bookmark_value>
<bookmark_value>normal distribution; standard</bookmark_value>
</bookmark><comment>mw added one entry</comment>
<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_GAUSS" id="bm_id3149388" localize="false"/>
<paragraph xml-lang="en-US" id="hd_id3150272" role="heading" level="2" l10n="U"
oldref="76">GAUSS</paragraph>
<paragraph xml-lang="en-US" id="par_id3149030" role="paragraph" l10n="U" oldref="77"><ahelp hid="HID_FUNC_GAUSS">Returns the standard normal cumulative distribution.</ahelp></paragraph>
<paragraph xml-lang="en-US" id="par_id2059694" role="paragraph" l10n="NEW">It is GAUSS(x)=NORMSDIST(x)-0.5</paragraph>
<paragraph xml-lang="en-US" id="hd_id3153551" role="heading" level="3" l10n="U"
oldref="78">Syntax</paragraph>
<paragraph xml-lang="en-US" id="par_id3155368" role="code" l10n="U" oldref="79">GAUSS(Number)</paragraph>
<paragraph xml-lang="en-US" id="par_id3153228" role="paragraph" l10n="CHG" oldref="80">
<emph>Number</emph> is the value for which the value of the standard normal distribution is to be calculated.</paragraph>
<paragraph xml-lang="en-US" id="hd_id3150691" role="heading" level="3" l10n="U"
oldref="81">Example</paragraph>
<paragraph xml-lang="en-US" id="par_id3154867" role="paragraph" l10n="U" oldref="82">
<item type="input">=GAUSS(0.19)</item> = 0.08</paragraph>
<paragraph xml-lang="en-US" id="par_id3148594" role="paragraph" l10n="U" oldref="83">
<item type="input">=GAUSS(0.0375)</item> = 0.01</paragraph>
</section>
<section id="geomean">
<bookmark xml-lang="en-US" branch="index" id="bm_id3148425"><bookmark_value>GEOMEAN function</bookmark_value>
<bookmark_value>means;geometric</bookmark_value>
</bookmark><comment>mw added one entry</comment>
<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_GEOMITTEL" id="bm_id3149777" localize="false"/>
<paragraph xml-lang="en-US" id="hd_id3148425" role="heading" level="2" l10n="U"
oldref="85">GEOMEAN</paragraph>
<paragraph xml-lang="en-US" id="par_id3156257" role="paragraph" l10n="U" oldref="86"><ahelp hid="HID_FUNC_GEOMITTEL">Returns the geometric mean of a sample.</ahelp></paragraph>
<paragraph xml-lang="en-US" id="hd_id3147167" role="heading" level="3" l10n="U"
oldref="87">Syntax</paragraph>
<paragraph xml-lang="en-US" id="par_id3153720" role="code" l10n="U" oldref="88">GEOMEAN(Number1; Number2; ...Number30)</paragraph>
<paragraph xml-lang="en-US" id="par_id3152585" role="paragraph" l10n="CHG" oldref="89">
<emph>Number1, Number2,...Number30</emph> are numeric arguments or ranges that represent a random sample.</paragraph>
<paragraph xml-lang="en-US" id="hd_id3146146" role="heading" level="3" l10n="U"
oldref="90">Example</paragraph>
<paragraph xml-lang="en-US" id="par_id3149819" role="paragraph" l10n="U" oldref="92">
<item type="input">=GEOMEAN(23;46;69)</item> = 41.79. The geometric mean value of this random sample is therefore 41.79.</paragraph>
</section>
<section id="trimmean">
<bookmark xml-lang="en-US" branch="index" id="bm_id3152966"><bookmark_value>TRIMMEAN function</bookmark_value>
<bookmark_value>means;of data set without margin data</bookmark_value>
</bookmark><comment>mw added one entry</comment>
<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_GESTUTZTMITTEL" id="bm_id3145081" localize="false"/>
<paragraph xml-lang="en-US" id="hd_id3152966" role="heading" level="2" l10n="U"
oldref="94">TRIMMEAN</paragraph>
<paragraph xml-lang="en-US" id="par_id3149716" role="paragraph" l10n="U" oldref="95"><ahelp hid="HID_FUNC_GESTUTZTMITTEL">Returns the mean of a data set without the Alpha percent of data at the margins.</ahelp></paragraph>
<paragraph xml-lang="en-US" id="hd_id3149281" role="heading" level="3" l10n="U"
oldref="96">Syntax</paragraph>
<paragraph xml-lang="en-US" id="par_id3154821" role="code" l10n="U" oldref="97">TRIMMEAN(Data; Alpha)</paragraph>
<paragraph xml-lang="en-US" id="par_id3155834" role="paragraph" l10n="U" oldref="98">
<emph>Data</emph> is the array of data in the sample.</paragraph>
<paragraph xml-lang="en-US" id="par_id3156304" role="paragraph" l10n="U" oldref="99">
<emph>Alpha</emph> is the percentage of the marginal data that will not be taken into consideration.</paragraph>
<paragraph xml-lang="en-US" id="hd_id3151180" role="heading" level="3" l10n="U"
oldref="100">Example</paragraph>
<paragraph xml-lang="en-US" id="par_id3156130" role="paragraph" l10n="U" oldref="101">
<item type="input">=TRIMMEAN(A1:A50; 0.1)</item> calculates the mean value of numbers in A1:A50, without taking into consideration the 5 percent of the values representing the highest values and the 5 percent of the values representing the lowest ones. The percentage numbers refer to the amount of the untrimmed mean value, not to the number of summands.</paragraph>
</section>
<section id="ztest">
<bookmark xml-lang="en-US" branch="index" id="bm_id3153216"><bookmark_value>ZTEST function</bookmark_value>
</bookmark>
<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_GTEST" id="bm_id3147569" localize="false"/>
<paragraph xml-lang="en-US" id="hd_id3153216" role="heading" level="2" l10n="U"
oldref="103">ZTEST</paragraph>
<paragraph xml-lang="en-US" id="par_id3150758" role="paragraph" l10n="CHG" oldref="104"><ahelp hid="HID_FUNC_GTEST">Calculates the probability of observing a z-statistic greater than the one computed based on a sample.</ahelp></paragraph>
<paragraph xml-lang="en-US" id="hd_id3150872" role="heading" level="3" l10n="U"
oldref="105">Syntax</paragraph>
<paragraph xml-lang="en-US" id="par_id3153274" role="code" l10n="CHG" oldref="106">ZTEST(Data; mu; Sigma)</paragraph>
<paragraph xml-lang="en-US" id="par_id3156109" role="paragraph" l10n="CHG" oldref="107">
<emph>Data</emph> is the given sample, drawn from a normally distributed population.</paragraph>
<paragraph xml-lang="en-US" id="par_id3149977" role="paragraph" l10n="CHG" oldref="108">
<emph>mu</emph> is the known mean of the population.</paragraph>
<paragraph xml-lang="en-US" id="par_id3154740" role="paragraph" l10n="CHG" oldref="109">
<emph>Sigma</emph> (optional) is the known standard deviation of the population. If omitted, the standard deviation of the given sample is used.</paragraph>
<paragraph xml-lang="en-US" id="par_id0305200911372999" role="paragraph" l10n="NEW">See also the <link href="http://wiki.documentfoundation.org/Documentation/How_Tos/Calc:_ZTEST_function">Wiki page</link>.</paragraph>
</section>
<section id="harmean">
<bookmark xml-lang="en-US" branch="index" id="bm_id3153623"><bookmark_value>HARMEAN function</bookmark_value>
<bookmark_value>means;harmonic</bookmark_value>
</bookmark><comment>mw added one entry</comment>
<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_HARMITTEL" id="bm_id3154052" localize="false"/>
<paragraph xml-lang="en-US" id="hd_id3153623" role="heading" level="2" l10n="U"
oldref="113">HARMEAN</paragraph>
<paragraph xml-lang="en-US" id="par_id3155102" role="paragraph" l10n="U" oldref="114"><ahelp hid="HID_FUNC_HARMITTEL">Returns the harmonic mean of a data set.</ahelp></paragraph>
<paragraph xml-lang="en-US" id="hd_id3146900" role="heading" level="3" l10n="U"
oldref="115">Syntax</paragraph>
<paragraph xml-lang="en-US" id="par_id3149287" role="code" l10n="U" oldref="116">HARMEAN(Number1; Number2; ...Number30)</paragraph>
<paragraph xml-lang="en-US" id="par_id3154303" role="paragraph" l10n="CHG" oldref="117">
<emph>Number1,Number2,...Number30</emph> are up to 30 values or ranges, that can be used to calculate the harmonic mean.</paragraph>
<paragraph xml-lang="en-US" id="hd_id3159179" role="heading" level="3" l10n="U"
oldref="118">Example</paragraph>
<paragraph xml-lang="en-US" id="par_id3146093" role="paragraph" l10n="U" oldref="120">
<item type="input">=HARMEAN(23;46;69)</item> = 37.64. The harmonic mean of this random sample is thus 37.64</paragraph>
</section>
<section id="hypgeomdist">
<bookmark xml-lang="en-US" branch="index" id="bm_id3152801"><bookmark_value>HYPGEOMDIST function</bookmark_value>
<bookmark_value>sampling without replacement</bookmark_value>
</bookmark><comment>mw added one entry</comment>
<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_HYPGEOMVERT" id="bm_id3153910" localize="false"/>
<paragraph xml-lang="en-US" id="hd_id3152801" role="heading" level="2" l10n="U"
oldref="122">HYPGEOMDIST</paragraph>
<paragraph xml-lang="en-US" id="par_id3159341" role="paragraph" l10n="U" oldref="123"><ahelp hid="HID_FUNC_HYPGEOMVERT">Returns the hypergeometric distribution.</ahelp></paragraph>
<paragraph xml-lang="en-US" id="hd_id3154697" role="heading" level="3" l10n="U"
oldref="124">Syntax</paragraph>
<paragraph xml-lang="en-US" id="par_id3155388" role="code" l10n="U" oldref="125">HYPGEOMDIST(X; NSample; Successes; NPopulation)</paragraph>
<paragraph xml-lang="en-US" id="par_id3154933" role="paragraph" l10n="U" oldref="126">
<emph>X</emph> is the number of results achieved in the random sample.</paragraph>
<paragraph xml-lang="en-US" id="par_id3153106" role="paragraph" l10n="U" oldref="127">
<emph>NSample</emph> is the size of the random sample.</paragraph>
<paragraph xml-lang="en-US" id="par_id3146992" role="paragraph" l10n="U" oldref="128">
<emph>Successes</emph> is the number of possible results in the total population.</paragraph>
<paragraph xml-lang="en-US" id="par_id3148826" role="paragraph" l10n="U" oldref="129">
<emph>NPopulation </emph>is the size of the total population.</paragraph>
<paragraph xml-lang="en-US" id="hd_id3150529" role="heading" level="3" l10n="U"
oldref="130">Example</paragraph>
<paragraph xml-lang="en-US" id="par_id3154904" role="paragraph" l10n="U" oldref="131">
<item type="input">=HYPGEOMDIST(2;2;90;100)</item> yields 0.81. If 90 out of 100 pieces of buttered toast fall from the table and hit the floor with the buttered side first, then if 2 pieces of buttered toast are dropped from the table, the probability is 81%, that both will strike buttered side first.</paragraph>
</section>
</sort>
<section id="relatedtopics">
<embed href="text/scalc/01/04060100.xhp#drking"/>
</section>
</body>
</helpdocument>
|
