GL ܮ3HELPZF GL{{ZIPZE/RAM5/ 0 5 y 80N GL  B2STATZD GL {93TABZC GL-W|/ZSTATZB ZSTAT 1.3.1D Copyright 1986 - 87 by Steven R. White, M.D.w ProCMD routines copyright 1985 by Glen BredondGOn16896:(4)"RESTORE ZVARS":755:8900xD$"FRE":IV1:H1:820C00:C11:C211:1600:500:(A)İ800 600:NPİ300:140s NP0:NP$"ABCDFHKNPQS!=":NL13:1020:NP4000,3200,3300,3400,3600,3800,920,4400,4600,4700,4900,920,3700| 120 SCREEN ::880:5::" |";:I07:"| ";(65I);" ";::"|| ";: J6:350::21:I03:NE$(I);:I3ĺ ::34,5:35,21: ,PLACER5 1IV0:500:ED13330a 6ED8HPHP9:CC1:C1HP68:C8:330 ;ED21HPHP9:CC1:C8HP5:C1:330 @ED10İ3000:330 EED11İ3100 JIV1:500: ^ vert border h::6:IJJ14:1:I15ĺ" ";: rI5;"|":::  cell ref 820:870:XA$"_*-":"Goto what cell? 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";:NP$"AD":1000:C$(65NP):1-CHARNL(NP$):NP0450:1050:N96N123NN32N13ıI1NL:(NP$,I,1)(N)NPI:INL:NPĺB$;:1010N273890$$N633800*.8L disk opwV820:"Disk options: ";:D1Ğ:"Normal";::" DIF":1130`"Normal ";::"DIF":jNP$"DN":1000:NP1D10:tD11: CAT790:H11:::D$"CATALOG"DT$"Press any key to continue.":450:800:3890&SAVEdFZ$""İ870:"Use current pathname";:765:NP1310,1315FF0:FF$"Save--enter FILEname:":900:XX$""3890 FZ$XX$#880:FO$;DT$;FZ$:FC$;DT$;FZ$:FD$;DT$;FZ$:FO$;DT$;FZ$:FW$;DT$;FZ$:D113551("1.3,";R%:J0R%:K18:A(J,K);",";F%(J,K)::-K18:S(0,K);",";S(1,K);",";S(2,K);",";S(3,K);",";S(4,K);",";NA$(K)::1385Fsave difK"TABLE":"0,1":NU$P"VECTORS":"0,8":NU$U"TUPLES":"0,20":NU$Z"DATA":"0,0":NU$0_I0R%:"-1,0":"BOT":J18:"0,";A(I,J):"V"::Cd"-1,0":"EOD"XiFC$:54915:120bxLOAD790:870:FF0:FF$"Load--enter FILEname:":900:XX$""3890FZ$XX$:755:FO$;DT$;FZ$:FR$;DT$;FZ$:D11500!RV,RN%:RN%R%RV1.3ĺFC$:CD$"Not a current ZSTAT data file":760IJ0RN%:K18:A(J,K),F%(J,K)::K18:S(0,K),S(1,K),S(2,K),S(3,K),S(4,K),NA$(K)::FC$:RR%1C18:780::I18:PCI:4420::2910:54915:800:120 load difXX$:XX,T:Y$2XX$"TABLE"T1ĺFC$:CD$"Not a DIF file. 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" ";(CA64);" TO column: ";:1000:(NP64):PCNP=" CAPCCD$ER$(13):760m" J0R%:A(J,PC)A(J,CA):F%(J,PC)F%(J,CA):" CPC:780:J04:S(J,PC)S(J,CA)::2910:NA$(PC)NA$(CA):4420"H DISK"R 820:H7:C04:C117:C222:1600:NP$"LOPSC":1000#\ NP1400,1100,3450,1300,1200#f 3410(#z prefix[# FF$"Enter new prefix:":FF1:900:DT$XX$:880# 870:"Save as default prefix";:765:NP2DT1:DX$DT$:4425# 840:#FORMAT#790:820:H9:C05:C112:C214:1600$PZ5:NP$"ACE":1000:NP1PZ1$NP3625,3620,36250$$820:940:CNP:PZ3$)820:"Format choices: #(1-6) Default Scientific Integer";:868:NP$"123456DSI":1000:PUNP:NP6PUNP3$.PZ53680$3850:PZ3İ3660:770:3645$8K18:CK:3660$=780:PZ33655$B%G2910:800:9%LJ0R%:F%(J,C)0F%(J,C)PU:3675Z%QJ0PU0F%(0,C)PU:3675i%VF%(J,C)PUq%[:%`F%(R,C)03690%eF%(R,C)PU%j500:%t goto&~400:850:XA(RR%1)XA(RR%15)IV0:500:RXR:RXA:VPVP(RRX):CXX:770:IV1:500:@&(XARR%15)(XARR%)RR%XA:RR%(R%14)RR%R%14&JRR%5:350:VP5:C18:780::CXX:770:RXA:VP6(XARR%):3740&IV1:500:&HELP&::H11:790:5::I179:" ";:::&880:2:C06:C123:C229:1600:840:34,5':D$"TYPE HELP/";HL$(H)\'NP$"NPCDKSZ":1000:NP3825,3835,3845,3850,3855,3860,3865:3815p'HH1:H38H1v''HH1:H1H38''H2:' H22:'H23:'H24:'H37:'254915:H1H10:250:850:1450'7120'< buff(( arrangeT(790:820:NP$"PSC":H33:C01:C163:C265:1600:1000:PZNP1(820:940:" ";(64NP);:PCNP:PZ4060(C063PZ:" ";:940:" ";(64NP):CANP(PC(CA)CD$ER$(15):760(PZ24200)950:I1R%:TD(I)A(I,PC):TA%(I)F%(I,PC):F%(I,PC)0:;)D$"SORT":TD(0),T%(0),1,R%:KPCf)TA1:TBR%:TC1:NP2TAR%:TB1:TC1)J1:ITATBTC:TA%(T%(I))04110)A(J,K)TD(T%(I)):F%(J,K)TA%(T%(I)):JJ1))CK:780:PZİ800: *"PZ1KCA:PZ0:I1R%:TD(I)A(I,K)::4080*h condd*rI01:820:"Enter ";AR$(I);" condition:":840:A11:600:AR(I)(XX$):*|AR(0)AR(1)CD$ER$(1):760*820:J1:I1R%:F%(I,PC)04250*AR(0)A(I,PC)A(I,PC)AR(1)A(J,CA)A(I,PC):F%(J,CA)F%(I,PC):JJ1 +:PZ0:KCA:4120+0NAME;+5790:820:H11:"Name column: ";S+:NP$NN$:1000:PCNP+?(PC64):FF$"Enter name (< 8 chars):":FF3:900:NA$(PC)(XX$,8)+DXX8(NA$(PC)):21:CPC:770:36,HP1:XX);NA$(PC);:800:+IZIP,NFD$"ZIP":FO$"ZIP":FW$"ZIP",SDTĺDX$:4445",XDT$G,]PP%(1):PP%(2):P1$:F3$:FC$:V, PRINT OP,820:H13:NP$"0123456789":PP%(0)1:"Options: Top ";PP%(1);" (0-9) Left ";PP%(2);" (0-9) Names ";P1$;:,K12:2:36,(15(K1)15)::PP%(K);H$;-:1000:N13NPPP%(K)/-NPNP1:NP;:PP%(K)NP:l-36,46::P1$;H$;::NP$"NY":1000:P1$"n":NP2P1$"y"-P1$;:870:"Change printer set-up string";:765:NP14580-870:FF$"Enter chars needed AFTER ^I -->":FF4:900:XX$""F3$I$XX$8.870:"Save OPTIONS as default settings";:765:NP2İ4425E.:840:P.PRINTz.820:H12:C09:C130:C232:1600:840. NP$"DOB":1000:NP2İ4500:4610.NP34800. 4850::I1PP%(1):::XX$:/*P1$"y"ĺ2PP%(2));NE$(0);" ";:I18:XX9(NA$(I)):XX);NA$(I);::^/4790:J1R%:6PP%(2));:RJ:C18:VA(J,C):510::::/>J24:3PP%(2));NE$(J1);:RJ:C18:VS(J,C):510:::::/HF2$:800:/\ QUIT0f870:"QUIT Zstat (Yes / No / Bye)?";:868:NP$"NYB":1000:NP4715,4720,47250k!0p::20u::D$"BYE"B0 pr buffera04850::10PP%(2));XX$:010PP%(2));"Function";6);"Columns";6);"Result";6);"DF";6);"P < ?":1I1B%:BN18(ZZ$(BN%(I))):BNPP%(2));ZZ$(BN%(I));:36,24:BC$(I);:36,35S1D$"USING ###.##":BT(I):6);:D$"USING##":BD(I):36,56:BP(I)0ĺ" NS":4830o1D$"USING .###":BP(I):{1:46801 pr leg1820:FF$"Enter legend:":FF2:9001810:450:N1338901F1$:F3$:1$STATS42.820:H15:C011:C134:C238:1600:860:18:C$(58):840:NP$"OTCNAR!":1000_28NP4930,4940,4950,4960,4970,4980,49982B820:C034:C139:C242:1600:NP$"TPMW":1000:ZZNP:49992L820:C035:C143:C246:1600:NP$"FRKX":1000:ZZNP4:49992VZZ9:4999.3`820:C036:C147:C248:1600:NP$"CM":1000:ZZ10:NP2ZZ1483e49993j820:C038:C151:C252:1600:840:NP$"BV":1000:NP5100,5200:49103t820:C058:C160:C262:1600:NP$"LPS":1000:ZZNP10:49993ZZ1639990:3BONF>4820:870:H18:"Bonferroni adjustment: # of comparisons (currently "(BH)") --> ";:a4D$"RDLINE#^":XX$:XX$""51404 BH(XX$):BH0ĺB$;:51104840:4P TAILS4Z820:"Adjust P values for: ";:4dBTĺ"Single-tailed ";::"Double-tailed";::5240#5n:"Single-tailed";::" Double-tailed";:A5xNP$"DS":1000:N134910U5BT1:NP2BT0[5g5"ERRORS5"EL(218)(219)256:ER(222)5"EL1220ER6ĺER$(6);"! Press any key.":450:H11:3890 6"ER6EL1210H11:870:ER$(ER);"! Press any key.";:450:3890#6"ER3ER11ī8980:6"ER133ER2:8980P6"ER12ER1:8980f6#ER20ER3:89806 #870:B$;"Applesoft error ";ER;" occured in line ";EL;:89996#FC$:870:B$;ER$(ER);:ER5FZ$""7'#"! Press RETURN.";:868:450:54915:880:1207' image-7 'FB$;RM$;ST$;"IMAGE.";ZZt7 'HE(121)(122)256:NX(HE1)(HE2)256:NX,LO:NX1,HI:10000{7' GL 4 4START2ZA) ZSTAT 1.4 START2 for 5.25" systemsZ Copyright 1987-88 by Steven R. White, M.D.id continuen(4)"RESTORE /RAM/ZVARS":5000xFO$"ZIP":FR$"ZIP":DT$:PP%(1):PP%(2):P1$:F3$:FC$D$"STORE /RAM/ZVARS" D$"CREATE /RAM/STAT":D$"CREATE /RAM/TAB"@ I19:D$"COPY";PT$(I);",";RM$;PT$(I):| I014:D$"COPY STAT/IMAGE.";I;",/RAM/STAT/IMAGE.";I: D$"RUN ZSTAT"  errors ER(222):EL(219)256(218) ER6EL140ĺ:RM$"":ST$"":170 ER19EL140ĺ:1703 :10:"Error ";ER;" occured in line #";EL;".": GL 3 HELP/BLANK.1Z@BLANK Blank allows you to clear a cell, column, name, the results buffer, or the entire data-window. Each subcommand performs the operation indicated by its name. When blanked, both the data and the format and print codes are cleared. Press ESC to change your mind. Blank ENTRY You must have the data-window cursor over the cell to be blanked. Blank COLUMN To clear a column, move the cursor to that column (any row) and select this option. GL 3z HELP/BLANK.2Z?Blank NAMES Clears the name-row at the bottom of the data-window. Data and summary statistics are not affected. Blank ALL Clears the entire data-window, print and format codes. It takes a few seconds. All data in the window is irretreviably lost forever. Blank BUFFER Clears the results buffer. Kiss your results good-bye; better yet, print them first. GLլ3oHELP/CHI.SQUAREZ>CHI SQUARE TEST The CHI SQUARE TEST is used to test for differences between groups. This test assumes that variables are expressed on a nominal scale (race, sex, dead or alive, etc), in which there is no arithmentic relation between the points on the scale. The test is meant for unmatched populations (for matched populations, use the McNemar's test). This test uses a contingency table. The upper left corner of the table is always cell A1. You specify the lower corner (row #) and the right corner (column #). You are limited to five or less columns and rows. Note that you place the OBSERVED data in the table--ZSTAT calculates both the expected data and the result, chi-square, which is compared to the chi table to obtain a critical p value. The Yates correction for continuity is used when the degrees of freedom = 1 (i.e., for a 2 x 2 or 2 x 1 table). GLլ3AHELP/COMMANDS.1Z=COMMANDS To make things work in ZSTAT, you need to be at the command level. This lets you tell ZSTAT what to do. The ZSTAT screen is divided into two windows: the data-window, where your numeric entries are displayed, and the command-window, where commands and statistical results are displayed. The command-window has three parts: an inverse top line displaying the data pathname, a second line listing the available commands, and an entry marker, which looks like this-- Entry--> When you see the entry marker, you are at the command level. Each command is accessed simply by pressing the first letter of its name (the capital letter). Subcommands within a command are accessed the same way. If you make a mistake or wish to leave a command, the "ESC" key will return you to the first-level command line. GLլ3HELP/COMMANDS.2Z 10 elements, the test statistic Zt is calculated, and the result is compared to the values in the t table at infinite degrees of freedom. If the larger group has <= 10 elements, a discrete result is calculated, and the critical p value is obtained from the special table (/TAB/MW.TABLE). GLլ3 HELP/NAMEZ-NAME The name command allows you to label a column for easier identification. You specify the column you wish to name and then enter any name up to 8 chars in length. Use standard chars only. The name is formatted text-right. The name is placed in the "NE:" row in the appropriate column. You can remove names by using the "BLANK-NAME" command. The name label is for identification only, and cannot used to specify a column for a test or command. GL 3C HELP/PRINT.1Z,PRINT ZSTAT works with any dot-matrix or daisy-wheel printer. The following subcommands are used: Print DATA-WINDOW Prints the entire data-window as shown on the screen. ZSTAT asks you to input a name for the report, which is included in the print-out. It then asks you to turn on your printer (NO error-checking here, so make sure you do!). After printing, you are returned to the first line command options. Print BUFFER Allows you to print the results previously stored in the results buffer. The printout has the top and left margins set in OPTIONS. GLլ3 HELP/PRINT.2Z+Print OPTIONS Allows you to customize the report. You can set the top and left margins, and select whether or not the columns names should be printed. Each request has an allowable range noted in the brackets. You must respond to each request. You can also change the printer interface card set-up string within ZSTAT to disable the screen echo and set the line length. The default value is "Control-I 80N". To change this, consult your printer interface card manual and enter the exact sequence of chars that follow the "Control-I". Then press RETURN (note: this means you cannot use a carraige return in the set-up string). Do not enter the Control-I (^I): it is ALWAYS assumed by ZSTAT. You can make these changes the default values for subsequent sessions. GLլ3 HELP/QUITZ*QUIT The quit command does what it says. It gives you a chance to reconsider in case you hit the key by mistake. Any data in the data-window is lost when you quit ZSTAT. Make sure you save it to disk! GLլ3HELP/STATDATA.1Z)Statistics ZSTAT is a statistics engine. To call a test, use the STATS command, and then one of the subcommands. The tests are nested within modules that are loaded from (ram)disk as needed. When a test is called, you simply need to tell it which columns to test. You do this by typing the column letter (A, B, etc). With the exception of the nominal data tests, you cannot test partial columns nor test across rows. For tests of 2 columns, after you specify the second column, ZSTAT calculates the result. For tests of over 2 columns, you press RETURN when ready. Once you have specified the columns, ZSTAT performs the test. You must make sure the data-window summary has been updated (KALC'd) prior to calling a test, or else your results will be inaccurate (ZSTAT uses the SD, mean, etc for the columns in many tests). When a test is completed, you will see the following at the command line: GLլ3VHELP/STATDATA.2Z(For columns: a, b, c, ..... h (Name of test) = (xx), DF = (xx), & p < (xx) The first line lists the columns tested. On the next line, the name of the test is given, followed by the result. The degrees of freedom is given next, followed by the p value. The critical values for p are kept in tables on (ram)disk. When the result is calculated, ZSTAT looks up the p value for the appropriate degrees of freedom. On a 64K Apple, this will take a few seconds. Above the results will be listed the END-OF-TEST commands. These are described in the commands section of the help-screens. GL/ 3 HELP/STATS.1Z'STATS The statistics command gives you access to all the statistical modules. Go to the STATISTICS help-screen to learn how they work in general. The subcommands are: Stats ONE-WAY-ANOVA This module holds the following tests: T-test, unpaired for parametric data T-test, paired " " Mann-Whitney test for non-parametric data Wilcoxon rank-sum test " " " Each function tests two columns of data. GL- 3 HELP/STATS.2Z&Stats TWO-WAY-ANOVA This module holds the following analyses of variance: F-test Repeated F-test Kruskal-Wallis test Friedman test Each of these tests are used to compare three to eight groups of data. The first two are for nominal, normally distributed groups of data, the last two for ordinal or non-normally distributed groups of data. See the help screen for each test for more information on each. GL 3 HELP/STATS.3Z%Stats NOMINAL This module holds the following tests: Chi-square test McNemars test You use these tests to look for differences in groups expressed on a nominal scale, as opposed to continuous or ordinal scales. They are meant for large sample populations. GL 3 HELP/STATS.4Z$Stats ADJUST Lets you adjust the statistics to fit your needs. Stats Adjust BONFERRONI Sets the number of comparisons for the Bonferroni correction for multiple comparisons. All subsequent 1-way anova functions will automatically incorporate this correction until changed. You enter the number, > 0. The Bonferroni correction takes the P value obtained and multiplies it by the correction factor to yield the true P value. So if a t-test is significant to P < 0.01, and the correction factor is 3 (because you are doing 3 t-tests of the same variable in several sample groups), the true P value is 0.03 (0.01 x 3). See the manual for details. GL 3- HELP/STATS.5Z#Stats Adjust VALUES Allows you to choose between single-tailed and double-tailed P values. If for a given hypothesis in comparing two or more groups, a change can occur in only ONE direction (e.g. 2nd group can ONLY be greater than the 1st), then the single-tailed values are appropriate. If a change can occur in both directions (e.g. greater OR lessor) than the two-tailed values are appropriate. ZSTAT stores the P values in the statistical tables as double- tailed. Single-tailed values equal the double-tailed values divided by two. When you enter this subcommand, the current value is highlighted (default is double-tailed). To change, type the letter. Return alone exits and preserves the current setting. All subsequent calculations use the entered value. See the manual for details. GL 3 HELP/STATS.6Z"END-OF-TEST Following completion of a function, you have several options listed in the command-window. You use ESC to return to the first-level command line. End-of-test PRINT PRINT sends the results to the printer, formatted as shown on the screen. After printing, you can use the other End-of-test options. End-of-test STATS Returns you to the STATS command. GLլ3 HELP/T.TESTZ!T-TEST The T-TEST is a special analysis of variance and a subset of the F-test. You test two columns, marking them by letter. ZSTAT then calculates the result. The calculated value for t is compared to the critical p value in the t-table. The unpaired t-test is used for two groups each receiving one treatment or observation; the paired t-test is used for one group receiving two treatments or observations ("before" and "after"). There is no method for handling missing data. GLլ3 HELP/WILCOXONZ WILCOXON SIGNED RANK TEST The WILCOXON test compares two treatments or observations made in the same group ("before" and "after"). Unlike the paired t test however, the Wilcoxon test is nonparametric--it does not depend on a normal distribution in the population being tested. The calculated result is compared to the t table at the appropriate degrees of freedom to yield a critical p value. There is no method within this module for handling missing data. GLVV HELP/PEARSONZPEARSON CORRELATION COEFFICIENT This function quantifies the strength of association between two groups of variables that are normally distributed. No effort is made in this function to identify causality--it merely reports an association. The closer the magnitude of r to 1 or -1, the stronger the association. The sign of r tells you the direction of the association. You specify the two columns to be tested. ZSTAT cannot handle missing or misaligned data. The results line shows the value of r (Pearson =), the value of t, which tests the trend in the groups being evaluated, the degrees of freedom calculated as n - 2, and the significance of t. For data that is ordinally distributed, use the SPEARMAN rank correlation coefficient. GL HELP/SPEARMANZSPEARMAN CORRELATION COEFFICIENT This function quantifies the strength of association between two groups of variables. No effort is made in this function to identify causality--it merely reports an association. In contrast to the PEARSON test, this test is non-parametric: it does not require that the observations be drawn from a normally-distributed population. You specify the two columns to be tested. ZSTAT cannot handle missing or misaligned data. The results line shows the value of Rs (Spearman =), the degrees of freedom (in this test, DF = n), and the significance of Rs. Rs can never be larger than 1. Significance is checked in a special table. GL:HELP/ARRANGE.1ZARRANGE The ARRANGE command lets you sort columns. You can arrange the columns in either ascending (lowest number first) or descending order. The elements always will be placed starting at row #1. Blank elements are ignored. Sorts are true numeric and not alphabetical. Arrange PRIMARY Sorts only the column specified. First you choose the column (the cursor does not have to be in that column), then the order. ZSTAT does the sort. GLHELP/ARRANGE.2ZArrange SECONDARY This does two things: first it sorts the primary column. Then it sorts a second column based on the order of the first column. To do this, you specify the primary and secondary columns, and then the order. ZSTAT then does each sort (it takes a few seconds). Blank cells are ignored. Arrange CONDITIONAL This subcommand searches a column of data for all values between a minimum and maximum value that you specify. It places all qualifying values into another column. You then can manipulate the new column as you wish. To do this, you specify the primary column, and then the new column. Then you input the minimum and maximum acceptable values. ZSTAT then does the search. Blank cells are ignored. GL   HELP/STATS.7ZEnd-of-test BUFFER Stores the current result in a special buffer. You can store up to 20 results at a time. When selected, BUFFER stores the name of the function, the columns tested, the result, DF, and the P value. After storing the result, ZSTAT tells you the position of the result in the buffer queue. Then you can use the other End-of-test commands. You can print these results as a group at a later time with the Print- Buffer command. You can clear the buffer with the Blank-Buffer command. GL$ $ D HELP/MCNEMARSZMCNEMAR'S TEST The MCNEMAR'S TEST is used to test for differences between groups. This test assumes that variables are expressed on a nominal scale (race, sex, dead or alive, etc), in which there is no arithmentic relation between the points on the scale. The test is meant for paired populations (for unmatched populations, use the Chi-Square test). This test uses a 2 x 2 contingency table. The upper left corner of the table is always cell A1 and the lower right corner is always cell B2. You place the OBSERVED data in the table this way: the +/+ value goes in cell A1, the -/- value in cell B2, the +/- value in cell B1, and the -/+ value in cell A2. ZSTAT calculates the expected data and the result, which is compared to the chi table to obtain a critical P value. The Yates correction for continuity is used. GL10 HELP/LINEZREGRESSION LINE This function determines, by the method of least squares, a linear regression of a group of points. It provides you with the SLOPE and the Y-INTERCEPT of the line. It also calculates the standard error of the slope, the y-intercept and of the estimate itself (actual variability about the line of means). One very important point: ZSTAT assumes that a straight line can, in fact, represent the group of points. If there is a strong NON-linear relationship, ZSTAT will miss it (and so will you). You should graph the points yourself and look at the calculated line--does it make sense? To perform this function, you specify the columns holding the X and Y coordinates (the columns need not be contiguous). The columns must have equal numbers of elements and the X and Y elements must match up--no holes or missing data permitted. Once you choose the columns ZSTAT does the test. Results will be displayed in two lines; the usual end-of-test options apply. GL!<7{' STAT/IMAGE.10Z<' chi.square~<'J05:ZA(J)0:K05:T(J,K)0:::TD0:T0:VF0:VY0:LF$"of contingency table ":PT1:LT$"Chi-square"<$'820:"Last";LC$;LF$;"(# < ";LC$;" F)":NP$"ABCDE":1000:ZA(1)NP:ZA(1)1ZA(1)5İ750:10020D=.'820:"Last";LR$;LF$;"(# < ";LR$;" 6)":NP$"12345":1000:ZA(2)NP:ZA(2)1ZA(2)5İ750:10030=8'K1ZA(1):J1ZA(2):TDTDA(J,K):T(0,K)T(0,K)A(J,K)::=B'J1ZA(2):K1ZA(1):T(J,0)T(J,0)A(J,K)::=L'K1ZA(1):J1ZA(2):T(J,K)(T(0,K)TD)T(J,0)::>V'VF(ZA(1)1)(ZA(2)1):VF1VY0.5^>`'K1ZA(1):J1ZA(2):TT(((((A(J,K)T(J,K))VY))2)T(J,K))::~>j'11000:1850:10500:1800:>) results>)870:"For a ";ZA(1);" x ";ZA(2);" table: ";C$(45);" =";>)D$"USING###.##":T:DF$;VF;PF$;:P0ĺ" NS":?")D$"USING .###":P::"?*CHI.TABV?+KVF1:J5:PT$PT$(4):FO$;RM$;PT$:FR$;RM$;PT$? +V1(0),V1(1),V1(2),V1(3),V1(4),V1(5)?+FR$;RM$;PT$",F";K:V2(0),V2(1),V2(2),V2(3),V2(4),V2(5):FC$? +I15:V2(I)TJI1:I5?*+:PV1(J): GL!< {: STAT/IMAGE.1Z<' unpaired t-test\<'PT2:CP2:1900:820:870:"Calculating ...";:868:LT$"T-test"<$'VF(S(0,ZA(1))S(0,ZA(2)))2:TS((S(0,ZA(1))1)(S(3,ZA(1))2))((S(0,ZA(2))1)(S(3,ZA(2))2)):TSTSVF=.'TMS(2,ZA(1))S(2,ZA(2)):TA((TSS(0,ZA(1)))(TSS(0,ZA(2)))):T(TMTA)7=8'11000:1850:10500:1800:E=) results=)870:"For columns ";(ZA(1)64);" & ";(ZA(2)64);"--> T-test =";:D$"USING###.##":T=,)DF$;VF;PF$;:P0ĺ" NS":=6)D$"USING .###":P::=*t tab >+PT$PT$(1):P0:J6:KVF:VF30K30> +K0K1a>+FO$;RM$;PT$:FR$;RM$;PT$:V1(0),V1(1),V1(2),V1(3),V1(4),V1(5),V1(6){> +FR$;RM$;PT$;",F";K1>*+V2(0),V2(1),V2(2),V2(3),V2(4),V2(5),V2(6)>4+V2(0)K11090>>+I16:V2(I)TJI1:I6>H+:PV1(J)BH:11050>R+FC$: GL!<#O STAT/IMAGE.2Z<' paired t-testM<'CP2:PT2:1900:820:870:"Calculating ...";:868<'J1R%:TD(J)0::TM0:TD0:T0:TA0:LT$"Paired t-test"<$'S(0,ZA(1))S(0,ZA(2))CD$"Groups unequal":760.=.'J1R%:(F%(J,ZA(1))0F%(J,ZA(2))0)(F%(J,ZA(2))0F%(J,ZA(1))0)JR%::CD$"Data mis-aligned":760H=8'F%(J,ZA(1))010060t=B'TD(J)A(J,ZA(2))A(J,ZA(1)):TMTMTD(J)z=L'=V'TMTMS(0,ZA(1))=`'J1R%:F%(J,ZA(1))010100=j'TD((TD(J)TM)2)TD=t'>~'TA(TD(S(0,ZA(1))1)):T(TMTA):VFS(0,ZA(1))1'>'11000:1850:10500:1800:5>) results>)870:"For columns ";(ZA(1)64);" & ";(ZA(2)64);"--> Paired T-test =";:D$"USING###.##":T>,)DF$;VF;PF$;:P0ĺ" NS":>6)D$"USING .###":P::>*t tab?+PT$PT$(1):P0:J6:KVF:VF30K30? +K0K1X?+FO$;RM$;PT$:FR$;RM$;PT$:V1(0),V1(1),V1(2),V1(3),V1(4),V1(5),V1(6)r? +FR$;RM$;PT$;",F";K1?*+V2(0),V2(1),V2(2),V2(3),V2(4),V2(5),V2(6)?4+V2(0)K11090?>+I16:V2(I)TJI1:I6?H+:PV1(J)BH:11050?R+FC$: GL!<ҮѮ  STAT/IMAGE.3Z<' mann.whitneyL<'CP2:PT2:1900:820:870:"Calculating ...";:868<$'I1R1%:T0(I)0:T1(I)0:T%(I)0::TA0:TB0:VF0:AXS(0,ZA(1)):AYS(0,ZA(2)):J1:LT$"Mann-Whitney"<.'I1R%:F%(I,ZA(1))010050<8'T0(J)A(I,ZA(1)):T1(J)1:JJ1=B':I1R%:F%(I,ZA(2))010070A=L'T0(J)A(I,ZA(2)):T1(J)2:JJ1Q=V':JJ1:K0o=`'D$"SORT":T0(0),T%(0),1,J=j'I1J:KK1=t'T1(T%(I))1TATAK:10120=~'TBTBK='='TTB:AXAYTTA='AXAYIAX:AXAY:AYI>'(AX11)(AY11)İ11000:10170K>'TDT:VN((AXAY1)AX)2:TC(VNAY6):T(((TVN)).5)TC:11100d>'1850:10500:1800:r>) results>)870:"For columns ";(ZA(1)64);" & ";(ZA(2)64);"--> Mann-Whitney =";:D$"USING###.##":T>)PF$;:P0ĺ" NS":?")D$"USING .###":P::?*MW TAB8?+P0:FO$;RM$;PT$(5):FR$;RM$;PT$(5)[? +V2(1),V2(2),V2(3),V2(4),V2(5)x?+V2(1)AXV2(2)AY11020? +V2(1)AX(V2(1)AXV2(2)AY)11060?*+TV2(3)TV2(4)PV2(5)BH:11020?4+FC$:?\+t tab?f+PT$PT$(1):P0:J6:K67D@p+FO$;RM$;PT$:FR$;RM$;PT$:V1(0),V1(1),V1(2),V1(3),V1(4),V1(5),V1(6)\@z+FR$;RM$;PT$;",F";K@+V2(0),V2(1),V2(2),V2(3),V2(4),V2(5),V2(6)@+I16:V2(I)TJI1:I6@+:PV1(J)BH:FC$: GL!<'7  STAT/IMAGE.4Z<' wilcoxonH<'PT5:CP2:1900:820:870:"Calculating ...";:868<$'I0R1%:T0(I)0:T1(I)0::T0:TC1:LT$"Wilcoxon"<.'S(0,ZA(1))S(0,ZA(2))CD$"Groups unequal":760<8'S(0,ZA(1))5CD$"Too few samples":760P=B'J1R%:(F%(J,ZA(1))0F%(J,ZA(2))0)(F%(J,ZA(2))0F%(J,ZA(1))0)JR%::CD$"Data mis-aligned":760j=L'F%(J,ZA(1))010090=V'T0(TC)(A(J,ZA(2))A(J,ZA(1))):T1(TC)1:A(J,ZA(2))A(J,ZA(1))T1(TC)1=`'TCTC1=j'=t'D$"SORT":T0(0),T%(0),1,TC >~'J1:I1TC:TT(JT1(T%(I)))#>'T1(T%(I))0JJ1)>'>'T(T):VFZA(0)1:P0:AXS(0,ZA(1)):PT$"TAB/WX.TABLE":11000:1850:10500:1800:>) results>)870:"For columns ";(ZA(1)64);" & ";(ZA(2)64);"--> Wilcoxon =";:D$"USING###.##":T?)PF$;:P0ĺ" NS":?")D$"USING .###":P::-?*WX / FD TABK?+FO$;RM$;PT$:FR$;RM$;PT$b? +V2(0),V2(1),V2(2)?+V2(0)AXV2(1)1TPV2(2):11060? +V2(0)AX11070?*+11020?4+ZZ4PPBH?>+FC$: GL!<)O STAT/IMAGE.5Z<' F TESTg<'LT$"F-test":PT3:CP8:TC0:TM0:TA0:TS0:TQ0:TX0:TW0:VF0:PT$"F05.TABLE":1900<$'820:870:"Calculating ...";:868<.'I1ZA(0):VFVFS(0,ZA(I)):TCTC(S(3,ZA(I))2):TMTMS(2,ZA(I)):=8'VFZA(0)(VF1):TWTCZA(0):TMTMZA(0).=B'I1ZA(0):TXTX((TMS(2,ZA(I)))2):B=L'TXTX(ZA(0)1)e=V'TC0:I1ZA(0):TCTCS(0,I):}=`'TQTCTX:T(TQTW)=j'11000:1850:10500:1800:=) results=)860:"For columns ";:I1ZA(0):(ZA(I)64);", ";: >):"F-test =";:D$"USING###.##":TB>")", Vd = ";VF;", Vn = ";ZA(0)1;PF$;:P0ĺ" NS":\>,)D$"USING .###":P::h>* F TAB{>+J0:PT$PT$(2)> +VF31KVF:11040>+VF30K45> +FO$;RM$;PT$:FR$;RM$;PT$",F";K:V2(0),V2(1),V2(2),V2(3),V2(4),V2(5),V2(6),V2(7):FC$?*+V2(0)VFKK1:11040L?4+V2(ZA(0)1)(T)J0P.05:J1:PT$PT$(3):11040m?>+V2(ZA(0)1)(T)J1P.01:x?H+J1ı?R+P0: GL!<*O STAT/IMAGE.6Z<' repeated f teste<'LT$"Repeated F-test":PT3:CP8:1900:820:870:"Calculating ...";:868<$'I0R%:TD(I)0:T0(I)0::TB0:TM0:TA0:TS0:TQ0:TX0:TW0:VF0<.'J1R%:F%(J,ZA(1))010050!=8'K1ZA(0):TD(J)TD(J)A(J,ZA(K))::TD(J)TD(J)ZA(0):TD(0)TD(0)TD(J):VFVF1'=B'U=L'I1ZA(0):TXTXS(2,ZA(I))::TXTXZA(0)u=V'J1R%:F%(J,ZA(1))10100=`'K1ZA(0):TSTS((A(J,ZA(K))TX)2)=j'T0(J)T0(J)((TD(J)A(J,ZA(K)))2)::T0(0)T0(0)T0(J):TBTB((TXTD(J))2)=t'(>~'I1ZA(0):TMTM((TXS(2,ZA(I)))2)::TMTMVFL>'TQT0(0)TM:VF(VF1)(ZA(0)1)t>'TATM(ZA(0)1):TWTQVF:T(TATW)>'11000:1850:10500:1800:>) results>)860:"For columns ";:I1ZA(0):(ZA(I)64);", ";: ?):"Repeated F-test =";:D$"USING###.##":TB?")", Vd = ";VF;", Vn = ";ZA(0)1;PF$;:P0ĺ" NS":\?,)D$"USING .###":P::h?* F TAB{?+J0:PT$PT$(2)? +VF31KVF:11040?+VF30K45? +FO$;RM$;PT$:FR$;RM$;PT$",F";K:V2(0),V2(1),V2(2),V2(3),V2(4),V2(5),V2(6),V2(7):FC$@*+V2(0)VFKK1:11040L@4+V2(ZA(0)1)(T)J0P.05:J1:PT$PT$(3):11040m@>+V2(ZA(0)1)(T)J1P.01:x@H+J1ı@R+P0: GL!<.. STAT/IMAGE.7Z<' kruskal.wallis^<'LT$"Kruskal-wallis":CP8:1900:820:870:"Calculating ...";:868<$'I1R1%:T0(I)0:T1(I)0::I1R%:TD(I)0::T0:TA0:TB0:TC0<.'I1ZA(0):TCTCS(0,ZA(I))::TA(TC1)2:I1<8'K1ZA(0):J1R%=B'F%(J,ZA(K))010070(=L'T0(I)A(J,ZA(K)):T1(I)K:II10=V':Q=`'D$;"SORT":T0(0),T%(0),1,R1%r=j'J1:I1R1%:T1(T%(I))0Ă=t'Y1ZA(0):T1(T%(I))YTD(Y)TD(Y)J:JJ1=~':='K1ZA(0):TD(K)TD(K)S(0,ZA(K)):>'K1ZA(0):TBTB(S(0,ZA(K))((TD(K)TA)2)):*>'T(12(TC(TC1)))TB:VFZA(0)1J>'11000:1850:10500:1800:X>) results>)860:"For columns ";:I1ZA(0):(ZA(I)64);", ";:>):"Kruskal-Wallis =";:D$"USING###.##":T>")DF$;VF;PF$;:P0ĺ" NS":>,)D$"USING .###":P::?*CHI.TAB:?+KVF1:J5:PT$PT$(4):FO$;RM$;PT$:FR$;RM$;PT$c? +V1(0),V1(1),V1(2),V1(3),V1(4),V1(5)?+FR$;RM$;PT$",F";K:V2(0),V2(1),V2(2),V2(3),V2(4),V2(5):FC$? +I15:V2(I)TJI1:I5?*+:PV1(J): GL!<01I STAT/IMAGE.8Z<' friedmanR<'LT$"Friedman":CP8:1900:820:870:"Calculating ...";:868<$'I0R%:TD(I)0:T0(I)0:T1(I)0::T0:TA0:TB0:TC0<.'K1ZA(0):S(0,ZA(1))S(0,ZA(K))KZA(0)::CD$"Groups unequal":760N=8'J1R%:(F%(J,ZA(1))0F%(J,ZA(K))0)(F%(J,ZA(2))0F%(J,ZA(1))0)JR%:KZA(0):::CD$"Data mis-aligned":760V=B':v=L'TA((ZA(0)1)2)S(0,ZA(1))=V'J1R%:TC1:F%(J,ZA(1))010110=`'K1ZA(0):T0(TC)A(J,ZA(K)):T1(TC)TC:TCTC1:=j'D$"SORT":T0(0),T%(0),0,TC>t'I1ZA(0):TD(I)T1(T%(I1))TD(I): >~'L>'I1ZA(0):TD(0)TD(0)((TD(I)TA)2):>'T(TD(0)12)((ZA(0)1)ZA(0)S(0,ZA(1))):VFZA(0)1>'ZA(0)4S(0,ZA(1))9(ZA(0)4S(0,ZA(1))4)İ11000:10170>'PT$"TAB/FD3.TABLE":ZA(0)4PT$"TAB/FD4.TABLE"?'11100?'1850:10500:1800:+?) resultse?)860:"For columns ";:I1ZA(0):(ZA(I)64);", ";:?):"Friedman =";:D$"USING###.##":T?")DF$;VF;PF$;:P0ĺ" NS":?,)D$"USING .###":P::?*CHI.TAB@+KVF1:J5:PT$PT$(4):FO$;RM$;PT$:FR$;RM$;PT$0@ +V1(0),V1(1),V1(2),V1(3),V1(4),V1(5)q@+FR$;RM$;PT$",F";K:V2(0),V2(1),V2(2),V2(3),V2(4),V2(5):FC$@ +I15:V2(I)TJI1:I5@*+:PV1(J):@\+WX / FD TAB@f+FO$;RM$;PT$:FR$;RM$;PT$@p+V2(0),V2(1),V2(2) Az+V2(0)AXV2(1)1TPV2(2):11160 A+V2(0)AX11170+A+11120)" <";:D$"USING"PU$(U):TB::]>* CONF TAB>+FO$;RM$;PT$(1):FR$;RM$;PT$(1);",F";VF:V2(0),V2(1),V2(2),V2(3):FC$: GL<{{ STAT/IMAGE.11Z<' regresse<'TA0:TB0:TC0:TD0:TX0:TY0:CP2:PT2:1900:820:870:"Calculating ...";:868<$'J1R%:F%(J,ZA(1))010040<.'TXTX(A(J,ZA(1))2):TYTY(A(J,ZA(2))2):TCTC(A(J,ZA(1))A(J,ZA(2)))<8':AXS(0,ZA(1))I=B'TB(((AXTC)(S(1,ZA(1))S(1,ZA(2))))((AXTX)(S(1,ZA(1))2))):TAS(2,ZA(2))(TBS(2,ZA(1)))=L'TD((((AX1)(AX2))((S(3,ZA(2))2)((TB2)(S(3,ZA(1))2)))))=V'TYTD((1AX)((S(2,ZA(1))2)((AX1)(S(3,ZA(1))2))))=`'TX(TDS(3,ZA(1)))(1((AX1))) >j'1850:10500:1800:>) resultsk>)860:930:"slope =";:D$"USING"PU$(U):TB:", y-int. =";:D$"USING"PU$(U):TA:>)870:"SE-estimate =";:D$"USING"PU$(U):TD:", SE-slope =";:D$"USING"PU$(U):TX:", & SE-int. =";:D$"USING"PU$(U):TY:: GL<{{^ STAT/IMAGE.12Z <' pearsons<'LT$"Pearson":TA0:TB0:TC0:TD0:TX0:TY0:CP2:PT2:1900:820:870:"Calculating ...";:868<$'S(0,ZA(1))S(0,ZA(2))CD$"Groups unequal":760=.'J1R%:(F%(J,ZA(1))0F%(J,ZA(2))0)(F%(J,ZA(2))0F%(J,ZA(1))0)JR%::CD$"Data mis-aligned":760;=8':J1R%:F%(J,ZA(1))010060=B'TXTX(A(J,ZA(1))2):TYTY(A(J,ZA(2))2):TCTC(A(J,ZA(1))A(J,ZA(2)))=L':AXS(0,ZA(1))=V'TB(((AXTC)(S(1,ZA(1))S(1,ZA(2))))((AXTX)(S(1,ZA(1))2))):TAS(2,ZA(2))(TBS(2,ZA(1)))2>`'TA(TBS(4,ZA(1)))S(4,ZA(2)):(TA)0.99410100h>j'VFAX2:T(TA((((1(TA2))VF)))):11000:1850{>t'10500:1800:>) results>)870:930:"Pearson = ";:D$"USING#.##":TA:(TA)0.994ĺ". Can't calculate t.";:?)", t =";:D$"USING###.##":T:DF$;VF;PF$;:P0ĺ" NS":6?")D$"USING.###":P::A?*t tabi?+PT$PT$(1):P0:J6:KVF:VF30K30v? +K0K1?+FO$;RM$;PT$:FR$;RM$;PT$:V1(0),V1(1),V1(2),V1(3),V1(4),V1(5),V1(6)? +FR$;RM$;PT$;",F";K1@*+V2(0),V2(1),V2(2),V2(3),V2(4),V2(5),V2(6)@4+V2(0)K110909@>+I16:V2(I)TJI1:I6Q@H+:PV1(J)BH:11050\@R+FC$: GL!< {7 STAT/IMAGE.0Z <'KALCQ<'870:"Calculating ...";:868:SD0:SX0:K18:S(0,K)0:S(1,K)0<$'J1R%:F%(J,K)0S(0,K)S(0,K)1:S(1,K)S(1,K)A(J,K):F%(0,K)F%(J,K)<.':<8'K18:SD0:S(0,K)010110j'VFTA:PT$PT$(9):11000:1850:10500:1800:>) resultsW>)870:930:"Spearman =";:D$"USING#.##":T:DF$;VF;PF$;:P0ĺ" NS":p>)D$"USING.###":P::|>*sp tab>+J6:P0:FO$;RM$;PT$:FR$;RM$;PT$:V1(0),V1(1),V1(2),V1(3),V1(4),V1(5),V1(6)? +FR$;RM$;PT$;",F";VF7:V2(0),V2(1),V2(2),V2(3),V2(4),V2(5),V2(6):FC$6?+I16:V2(I)TJI1:I6F? +:PV1(J): GL<t  STAT/IMAGE.14Z <' McNemar'sC<'LT$"McNemar's":PT1:TA0:TB0:TX0:TY0:TD0<$'TAA(1,2):TBA(2,1):TD(TATB)2:TX(((TATD)).5)2:TY(((TBTD)).5)2<.'T(TXTD)(TYTD):VF1<8'11000:1850:10500:1800:<) results=)870:"McNemars =";:D$"USING#.##":T:PF$;:P0ĺ" NS":2=)D$"USING .###":P::?=*CHI.TABs=+KVF1:J5:PT$PT$(4):FO$;RM$;PT$:FR$;RM$;PT$= +V1(0),V1(1),V1(2),V1(3),V1(4),V1(5)=+FR$;RM$;PT$",F";K:V2(0),V2(1),V2(2),V2(3),V2(4),V2(5):FC$= +I15:V2(I)TJI1:I5 >*+:PV1(J): GL!<) 6 X STAT/IMAGE.15Z <' skew / kurtosis?<'820:C065:940:CANP:" ";(64NP)<'870:"Calculating ...";:868:TA0:TB0:TC0:TX0:TY0:AXS(0,CA)<$'J1R%:F%(J,CA)0TA(A(J,CA)S(2,CA)):TXTX(TA3):TYTY(TA4)<.'=8'TC(S(3,CA)3)AX:TCTC(AX1)(AX2):TXTXTCD=B'TB(S(3,CA)4)AX:TBTB(AX1)(AX2)(AX3):TY(TYTB)3V=L'1700:1800: GL!K3h TAB/CHI.TABLEZ0,.05,.025,.01,.005,.001 1,3.841,5.024,6.635,7.879,10.826 2,5.991,7.378,9.210,10.597,13.816 3,7.815,9.348,11.345,12.838,16.266 4,9.488,11.143,13.277,14.860,18.467 5,11.070,12.833,15.086,16.750,20.515 6,12.592,14.449,16.812,18.548,22.458 7,14.067,16.013,18.475,20.278,24.322 8,15.507,17.535,20.090,21.955,26.124 9,16.919,19.023,21.666,23.589,27.877 10,18.307,20.483,23.209,25.188,29.588 11,19.675,21.920,24.725,26.757,31.264 12,21.026,23.337,26.717,28.3,32.909 13,22.362,24.736,27.688,29.819,34.528 14,23.685,26.119,29.141,31.319,36.123 15,24.996,27.488,30.578,32.801,37.697 16,26.296,28.845,32,34.267,39.252 17,27.587,30.191,33.409,35.718,40.790 18,28.869,31.526,34.805,37.156,42.312 19,30.144,32.852,36.191,38.582,43.820 20,31.410,34.170,37.566,39.997,45.315 21,32.671,35.479,38.932,41.401,46.797 22,33.924,36.781,40.289,42.796,48.268 23,35.172,38.076,41.638,44.181,49.728 24,36.415,39.364,42.980,45.559,51.179 25,37.652,40.646,44.314,46.928,52.620 26,38.885,41.923,45.642,48.290,54.052 27,40.113,43.195,46.693,49.645,55.476 28,41.337,44.461,48.278,50.993,56.892 29,42.557,45.722,49.588,52.336,58.301 30,43.773,46.979,50.892,53.672,59.703 31,44.985,48.232,52.191,55.003,61.098 32,46.194,49.480,53.486,56.328,62.487 33,47.4,50.725,54.776,57.648,63.870 34,48.602,51.996,56.061,58.964,65.247 35,49.802,53.203,57.342,60.275,66.619 36,50.998,54.437,58.619,61.581,67.895 37,52.192,55.668,59.893,62.883,69.346 38,53.384,56.896,61.162,64.181,70.703 39,54.572,58.120,62.428,65.476,72.055 40,55.758,59.342,63.691,66.766,73.402 41,56.942,60.561,64.950,68.053,74.745 42,58.124,61.777,66.206,69.336,76.084 43,59.304,62.990,67.459,70.616,77.419 44,60.481,64.201,68.710,71.893,78.750 45,61.656,65.410,69.957,73.166,80.077 46,62.830,66.617,71.201,74.437,81.4 47,64.001,67.821,72.443,75.704,82.720 48,65.171,69.023,73.683,76.969,84.037 49,66.339,70.222,74.919,78.231,85.351 50,67.505,71.420,76.154,79.490,86.661 GL!K3 TAB/F01.TABLEZ0,1,2,3,4,5,6,7 1,4052,4999,5403,5625,5764,5859,5928 2,98.49,99,99.17,99.25,99.30,99.33,99.36 3,34.12,30.82,29.46,28.71,28.24,27.91,27.67 4,21.20,18,16.69,15.98,15.52,15.21,14.98 5,16.26,13.27,12.06,11.39,10.97,10.67,10.45 6,13.74,10.92,9.78,9.15,8.75,8.47,8.26 7,12.25,9.55,8.45,7.85,7.46,7.19,7 8,11.26,8.65,7.59,7.01,6.63,6.37,6.19 9,10.56,8.02,6.99,6.42,6.06,5.80,5.62 10,10.04,7.56,6.55,5.99,5.64,5.39,5.21 11,9.65,7.20,6.22,5.67,5.32,5.07,4.88 12,9.33,6.93,5.95,5.41,5.06,4.82,4.65 13,9.07,6.70,5.74,5.20,4.86,4.62,4.44 14,8.86,6.51,5.56,5.03,4.69,4.46,4.28 15,8.68,6.36,5.42,4.89,4.56,4.32,4.14 16,8.53,6.23,5.29,4.77,4.44,4.2,4.03 17,8.40,6.11,5.18,4.67,4.34,4.1,3.93 18,8.28,6.01,5.09,4.58,4.25,4.01,3.85 19,8.18,5.93,5.01,4.50,4.17,3.94,3.77 20,8.10,5.85,4.94,4.43,4.10,3.87,3.71 21,8.02,5.78,4.87,4.37,4.04,3.81,3.65 22,7.94,5.72,4.82,4.31,3.99,3.76,3.59 23,7.88,5.66,4.76,4.26,3.94,3.71,3.54 24,7.82,5.61,4.72,4.22,3.90,3.67,3.50 25,7.77,5.57,4.68,4.18,3.86,3.63,3.46 26,7.72,5.53,4.64,4.14,3.82,3.59,3.42 27,7.68,5.49,4.6,4.11,3.79,3.56,3.39 28,7.64,5.45,4.57,4.07,3.76,3.53,3.36 29,7.60,5.42,4.54,4.04,3.73,3.50,3.33 30,7.56,5.39,4.51,4.02,3.70,3.47,3.30 32,7.50,5.34,4.46,3.97,3.66,3.42,3.25 34,7.44,5.29,4.42,3.93,3.61,3.38,3.21 36,7.39,5.25,4.38,3.89,3.58,3.35,3.18 38,7.35,5.21,4.34,3.86,3.54,3.32,3.15 40,7.31,5.18,4.31,3.83,3.51,3.29,3.12 42,7.27,5.15,4.29,3.80,3.49,3.26,3.1 44,7.24,5.12,4.26,3.78,3.46,3.24,3.07 46,7.21,5.1,4.24,3.76,3.44,3.22,3.05 48,7.19,5.08,4.22,3.74,3.42,3.20,3.04 50,7.17,5.06,4.20,3.72,3.41,3.18,3.02 60,7.08,4.98,4.13,3.65,3.34,3.12,2.95 70,7.01,4.92,4.08,3.60,3.29,3.07,2.91 80,6.96,4.88,4.04,3.56,3.25,3.04,2.87 100,6.90,4.82,3.98,3.51,3.20,2.99,2.82 120,6.85,4.79,3.95,3.48,3.17,2.96,2.79 1000,6.63,4.60,3.78,3.32,3.02,2.80,2.64 GL!K3 TAB/F05.TABLEZ0,1,2,3,4,5,6,7 1,161,200,216,225,230,234,237 2,18.51,19,19.16,19.25,19.30,19.33,19.36 3,10.13,9.55,9.28,9.12,9.01,8.94,8.88 4,7.71,6.94,6.59,6.39,6.26,6.16,6.09 5,6.61,5.79,5.41,5.19,5.05,4.95,4.88 6,5.99,5.14,4.76,4.53,4.39,4.28,4.21 7,5.59,4.74,4.35,4.12,3.97,3.87,3.79 8,5.32,4.46,4.07,3.84,3.69,3.58,3.50 9,5.12,4.26,3.86,3.63,3.48,3.37,3.29 10,4.96,4.10,3.71,3.48,3.33,3.22,3.14 11,4.84,3.98,3.59,3.36,3.20,3.09,3.01 12,4.75,3.88,3.49,3.26,3.11,3,2.92 13,4.67,3.80,3.41,3.18,3.02,2.92,2.84 14,4.60,3.74,3.34,3.11,2.96,2.85,2.77 15,4.54,3.68,3.29,3.06,2.90,2.79,2.70 16,4.49,3.63,3.24,3.01,2.85,2.74,2.66 17,4.45,3.59,3.20,2.96,2.81,2.70,2.62 18,4.41,3.55,3.16,2.93,2.77,2.66,2.58 19,4.38,3.52,3.13,2.90,2.74,2.63,2.55 20,4.35,3.49,3.10,2.87,2.71,2.60,2.52 21,4.32,3.47,3.07,2.84,2.68,2.57,2.49 22,4.30,3.44,3.05,2.82,2.66,2.55,2.47 23,4.28,3.42,3.30,2.80,2.64,2.53,2.45 24,4.26,3.40,3.01,2.8,2.62,2.51,2.43 25,4.24,3.38,2.99,2.76,2.60,2.49,2.41 26,4.22,3.37,2.98,2.74,2.59,2.47,2.39 27,4.21,3.35,2.96,2.73,2.57,2.46,2.37 28,4.20,3.34,2.95,2.71,2.56,2.44,2.36 29,4.18,3.33,2.93,2.70,2.54,2.43,2.35 30,4.17,3.32,2.92,2.69,2.53,2.42,2.34 32,4.15,3.30,2.90,2.67,2.51,2.40,2.32 34,4.13,3.28,2.88,2.65,2.49,2.38,2.30 36,4.11,3.26,2.86,2.63,2.48,2.36,2.28 38,4.10,3.25,2.85,2.62,2.46,2.35,2.26 40,4.08,3.23,2.84,2.61,2.45,2.34,2.25 42,4.07,3.22,2.83,2.59,2.44,2.32,2.24 44,4.06,3.21,2.82,2.58,2.43,2.31,2.23 46,4.05,3.20,2.81,2.57,2.42,2.30,2.22 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