Casio Algebra FX 2.0 Calculator
Contents
1. Chapter Statistical Graphs and Calculations This chapter describes how to input statistical data into lists and how to calculate the mean maximum and other statistical values It also tells you how to perform regression calculations 6 1 Before Performing Statistical Calculations 6 2 Calculating and Graphing Single Variable Statistical Data 6 3 Calculating and Graphing Paired Variable Statistical Data 6 4 Performing Statistical Calculations Important e This chapter contains a number of graph screen shots In each case new data values were input in order to highlight the particular characteristics of the graph being drawn Note that when you try to draw a similar graph the unit uses data values that you have input using the List function Because of this the graphs that appear on the screen when you perform a graphing operation will probably differ somewhat from those shown in this manual 19990401 6 1 1 Before Performing Statistical Calculations 6 1 Before Performing Statistical Calculations From the Main Menu enter the STAT Mode and display the statistical data lists Use the statistical data lists to input data and to perform statistical calculations Use and to move the highlighting around the lists GREHICALG DEL IDELALING C Once you input data you can use it to produce a graph and check for tendencies You can also use a variety of different regression calculations to analy2. Pressing Fi GRPH 4 Select displays the graph On Off screen alr ar Crawl StatGrarhs iPrawltt e Note that the StatGraph1 setting is for Graph 1 GPH1 of the graph menu StatGraph2 is for Graph 2 and StatGraph3 is for Graph 3 2 Use the cursor keys to move the highlighting to the graph whose status you want to change and press the applicable function key to change the status e On Off On draw Off non draw e DRAW draws all On graphs 3 To return to the graph menu press 5 View Window parameters are normally set The default setting automatically uses List 1 automatically for statistical graphing If you data as x axis horizontal values and List 2 want to set View Window parameters data as y axis vertical values Each set of x y manually you must change the Stat Wind item data is a point on the scatter diagram to Manual Pressing irl 0 does not hide the menu while a While the statistical data list is on the display statistical graph is on the display perform the following procedure F3 SET UP Fa Man sd Returns to previous menu 19990401 6 2 1 Calculating and Graphing Single Variable Statistical Data 6 2 Calculating and Graphing Single Variable Statistical Data Single variable data is data with only a single variable If you are calculating the average height of the members of a class for example there is only one variable height Single variab
3. 2 in E Register Y1 2In x Fe DRAW Result Screen TRACEIS0OMERKICHCALGDerGl EI You can also perform trace etc for drawn Pressing while inputting a function returns function graphs the expression to what it was prior to input Graphs of types other than rectangular Pressing QUIT clears the input coordinate graphs cannot be drawn expression and returns to the statistical data list 19990401 6 4 1 Performing Statistical Calculations 6 4 Performing Statistical Calculations All of the statistical calculations up to this point were performed after displaying a graph The following procedures can be used to perform statistical calculations alone e To specify statistical calculation data lists You have to input the statistical data for the calculation you want to perform and specify where it is located before you start a calculation Display the statistical data and then press Fa CALC Set ar Freg zlar sLis isti t Li Zar YList Diska zlar Frea LITI The following is the meaning for each item Var KList location of single variable statistic x values XList 1Var Freges location of single variable frequency values Frequency 2Var KList location of paired variable statistic x values XList 2Var YLiSt ssis location of paired variable statistic y values Y List 2Var Freq sse location of paired variable frequency values Frequency e Calculations in this
4. GFHiGFHelGr Hal e The settings shown here are examples only The settings on your general graph settings screen may differ e StatGraph statistical graph specification e GPH1 GPH2 GPH3 graph 1 2 3 e Graph Type graph type specification e Scat xy NPP scatter diagram xy line graph normal probability plot e Hist Box ModB N Dis Brkn histogram med box graph modified box graph normal distribution curve line graph e X Med X42 X43 X14 linear regression graph Med Med graph quadratic regression graph cubic regression graph quartic regression graph e Log Exp Pwr Sin Lgst logarithmic regression graph exponential regression graph power regression graph sinusoidal regression graph logistic regression graph e XList x axis data list e LIST List 1 to 20 e YList y axis data list e LIST List 1 to 20 e Frequency number of times a value occurs e 1 1 to 1 plot e LIST contents of these lists indicate the frequency of XList and YList data e Mark Type plot mark type e TIM Me scatter diagram plot points 19990401 6 1 4 Before Performing Statistical Calculations 2 Graph draw non draw status GRPH Select The following procedure can be used to specify the draw On non draw Off status of each of the graphs in the graph menu e To specify the draw non draw status of a graph 1
5. effects of extreme values Fa CALC MedMed Fa DRAW The following is the Med Med graph model formula y ax b TRACEISOOMERTCHCALODerGl E a EN Med Med graph slope Dasanana Med Med graph intercept Input a positive integer for frequency data Other types of values decimals etc cause an error 19990401 6 3 7 Calculating and Graphing Paired Variable Statistical Data E Quadratic Cubic Quartic Regression Graph A quadratic cubic quartic regression graph represents connection of the data points of a scatter diagram It uses the method of least squares to draw a curve that passes close to as many data points as possible The formula that represents this is quadratic cubic quartic regression Ex Quadratic regression CALC 4 Quad DRAW TRACE 00M TCHCALGDer Gl E K Quadratic regression Model formula y ax bx c e EE regression second coefficient D oiie regression first coefficient a regression constant term intercept Cubic regression Model formula y ax bx cx d a T regression third coefficient D uiie regression second coefficient ng regression first coefficient Wasana regression constant term intercept Quartic regression Model formula y axt bx cx dx e regression fourth coefficient regression third coefficient Centar regression second coefficient Ga NAN regression first coefficient O iinn regression constant term intercept 1999040
6. iDrawOh CALC 2 Linear e The text at the top of the screen indicates the currently selected graph StatGraph1 Graph 1 StatGraph2 Graph 2 StatGraph3 Graph 3 1 Press The graph name at the top of the screen changes when you do 2 When graph you want to use is selected press Ex Linearkes a 3 39571425 b Zal r pis vSaxth Now you can use the procedure under Displaying the Calculation Results of a Drawn Paired Variable Graph on page 6 3 11 to perform statistical calculations 19990401 6 3 13 Calculating and Graphing Paired Variable Statistical Data E Overlaying a Function Graph on a Statistical Graph Description You can overlay a paired variable statistical graph with any type of function graph you want Set Up J 1 From the Main Menu enter the STAT Mode Execution 2 Input the data into a list and draw the statistical graph 3 Display the Graph Function menu and input the function you want to overlay on the statistical graph 4 Graph the function 19990401 6 3 14 Calculating and Graphing Paired Variable Statistical Data 660606 Example Input the two sets of data shown below Next plot the data on a scatter diagram and overlay a function graph y 2In x 0 5 1 2 2 4 4 0 5 2 2 1 0 3 1 5 2 0 2 4 Procedure MEN STAT 2OOO amp WOO E AOA E Ob DC 2 by o0 00 me o SF ew 0 O G e A e o o aow F1 GRPH G S Gph1 F5 DefG
7. itch Draw EE GRFHICALG DEL DELA INS TRACE S00MEETCACAL CL CE The display screen appears as shown above before the graph is drawn At this point you can change the Start and pitch values 19990401 6 2 4 Calculating and Graphing Single Variable Statistical Data E Displaying the Calculation Results of a Drawn Single Variable Graph Single variable statistics can be expressed as both graphs and parameter values When these graphs are displayed the single variable calculation results appear as shown below when you press F4 CALC Q 1VAR e Use to scroll the list so you can view the items that run off the bottom of the screen The following describes the meaning of each of the parameters Hanai sum of squares population standard deviation E sample standard deviation AEAT number of data items minX minimum QI eee first quartile Med median ak A third guartile maXX maximum Mod mode Mod n number of data mode items Mod F data mode frequency e Press DRAW to return to the original single variable statistical graph When Mod has multiple solutions they are all displayed 19990401 6 3 1 Calculating and Graphing Paired Variable Statistical Data 6 3 Calculating and Graphing Paired Variable Statistical Data E Drawing a Scatter Diagram and xy Line Graph Description The following procedure plots a scatter diagram and connects the d
8. 1 6 3 8 Calculating and Graphing Paired Variable Statistical Data E Logarithmic Regression Graph Logarithmic regression expresses y as a logarithmic function of x The standard logarithmic regression formula is y a b x In x so if we say that X In x the formula corresponds to linear regression formula y a bX CALC Log DRAW The following is the logarithmic regression model formula TRACE 00M TCHCALGDerGl E y a b Inx OW nawi regression constant term Dieters regression coefficient correlation coefficient coefficient of determination E Exponential Regression Graph Exponential regression expresses y as a proportion of the exponential function of x The standard exponential regression formula is y ase so if we take the logarithms of both sides we get In y Ina bx Next if we say Y In y and a Ina the formula corresponds to linear regression formula Y a bx CALC 8 Exp DRAW TRACE 00M TCHCALGDerGl E The following is the exponential regression model formula ysace 1a ANI regression coefficient Dieters ces regression constant term correlation coefficient Te PN coefficient of determination 19990401 6 3 9 Calculating and Graphing Paired Variable Statistical Data E Power Regression Graph Power regression expresses y as a proportion of the power of x The standard power regression formula is y a x x so if we take the logarithms of both sides we
9. Displaying the Calculation Results of a Drawn Paired Variable Graph page 6 3 11 19990401 6 4 3 Performing Statistical Calculations E Regression Calculation In the explanations from Linear Regression Graph to Logistic Regression Graph regression calculation results were displayed after the graph was drawn Here each coefficient value of the regression line and regression curve is expressed as a number You can directly determine the same expression from the data input screen Pressing F3 CALC 3 REG displays the pull up menu which contains the following items e Linear MedMed Quad Cubic Quart Log Exp Power Sin Lgstic linear regression Med Med quadratic regression cubic regression quartic regression logarithmic regression exponential regression power regression sinusoidal regression logistic regression parameters 660606 Example To display single variable regression parameters F3 CALC 3 REG G Linear Linearkeg 56 r re Year Ts 4 B 98268736 B 96551724 The meanings of the parameters that appear on this screen are the same as those for Linear Regression Graph to Logistic Regression Graph 19990401 6 4 4 Performing Statistical Calculations E Estimated Value Calculation A After drawing a regression graph with the STAT Mode you can use the RUN MAT Mode to calculate estimated values for the regression gr
10. aph s x and y parameters 660606 Example To perform power regression using the nearby data xi yi and estimate the values of j and when xi 20 and 10 1003 ye 1009 15 1005 20 1010 25 1011 30 1014 1 From the Main Menu enter the STAT Mode 2 Input data into the list and draw the linear regression graph Tacez MEE TCHCALCDerGl E 3 From the Main Menu enter the RUN lt MAT Mode 4 Press the keys as follows 2 value of xi laH A 1665 6 E9 gt FA STAT 2 5 Be The estimated value is displayed for xi 20 a 0 value of yi STAT G A E5 10064 1865 6 4 642557145 The estimated value x is displayed for yi 1000 You cannot obtain estimated values fora Med quartic regression sinusoidal regression or Med quadratic regression cubic regression logistic regression graph 19990401 6 4 5 Performing Statistical Calculations E Probability Distribution Calculation You can calculate probability distributions for single variable statistics with the RUN MAT Mode Press F gt F1 PROB to display a function menu which contains the following items e PUAQ V R obtains probability P A Q H R A value e t obtains normalized variate t x value e Probability P t Q t and R A and normalized variate t x are calculated using the following formulas P Q t R t Api 1 ft _ 1 pte wi NG 2di van J
11. ere the data is input while Freq specifies the list where the data frequency is input 1 is specified for Freq when frequency is not specified aa Laa TRACE S00MEETCACAL GC CE E Modified Box Graph ModB The modified box graph omits everything in the range past 1 5 x IQR IQR Q3 Q1 Q3 3rd quartile Q1 1st quartile from the med box 4th quartile and draws whiskers Outliers are displayed as plot points XList specifies the list where the data is input while Freq specifies the list where the data frequency is input 1 is specified for Freq when frequency is not specified k TRACE S00MEETCACAL GC CE Input a positive integer for frequency data Other types of values decimals etc cause an error 19990401 6 2 3 Calculating and Graphing Single Variable Statistical Data E Normal Distribution Curve N Dis The normal distribution curve is graphed using the following normal distribution function 1 _ xx y e 2x On 2 1 xOn XList specifies the list where the data is input while Freq specifies the list where the data frequency is input 1 is specified for Freq when frequency is not specified TRACE S00MEETCACAL GC CE E Line Graph Brkn Lines connect center points of a histogram bar XList specifies the list where the data is input while Freq specifies the list where the data frequency is input 1 is specified for Freq when frequency is not specified Set Interval
12. g Statistical Calculations E Drawing a Probability Distribution Graph Description You can draw a probability distribution graph using manual graphing with the RUN lt MAT Mode Set Up J 1 From the Main Menu enter the RUN lt MAT Mode Execution 2 Input the commands to draw a rectangular coordinate graph 3 Input the probability value 19990401 6 4 8 Performing Statistical Calculations 6060606 Example To draw a probability P 0 5 graph Procedure M RUN MAT EN Fa gt Fa gt F3 SKTCH C Cls E9 F2 SKTCH 4 GRPH G Y Fa gt F PROB 6 P0 G 6 Ra Result Screen Peti 69146 19990401 19990401
13. get In y Ina b x In x Next if we say X In x Y In y and a In a the formula corresponds to linear regression formula Y a bX CALC 9 Power Fa DRAW The following is the power regression model formula y a x TRACEISOOMERTCHCALO eral E a KA regression coefficient EE regression power IETA correlation coefficient Tinana coefficient of determination E Sinusoidal Regression Graph Sinusoidal regression is best applied for cyclical data The following is the sinusoidal regression model formula y a sin bx c d While the statistical data list is on the display perform the following key operation CALC EA Sin F DRAW TRACE SOOM TCHCALCDerGl F Drawing a sinusoidal regression graph causes the angle unit setting of the calculator to automatically change to Rad radians The angle unit does not change when you perform a sinusoidal regression calculation without drawing a graph e Certain types of data may take a long time to calculate This does not indicate malfunction 19990401 6 3 10 Calculating and Graphing Paired Variable Statistical Data E Logistic Regression Graph Logistic regression is best applied for time based phenomena in which there is a continual increase until a saturation point is reached The following is the logistic regression model formula Cc V yaer CALC eg Lgstic DRAW TRACE SOOM TCHCALCDerGl E e Certain types of data may take a long time to calc
14. her statistical graph types for each graph e List The initial default statistical data is List 1 for single variable data and List 1 and List 2 for paired variable data You can specify which statistical data list you want to use for x data and y data e Frequency Normally each data item or data pair in the statistical data list is represented on a graph as a point When you are working with a large number of data items however this can cause problems because of the number of plot points on the graph When this happens you can specify a frequency list that contains values indicating the number of instances the frequency of the data items in the corresponding cells of the lists you are using for x data and y data Once you do this only one point is plotted for the multiple data items which makes the graph easier to read The initial default graph type setting for all the You can specify the graph draw non draw graphs Graph 1 through Graph 3 is scatter status the graph type and other general diagram but you can change to one of a settings for each of the graphs in the graph number of other graph types menu GPH1 GPH2 GPH3 19990401 6 1 3 Before Performing Statistical Calculations e Mark Type This setting lets you specify the shape of the plot points on the graph e To display the general graph settings screen GRPH Set Pressing Fi GRPH 5 Set displays the general graph settings screen Mark Tyre
15. ion of data KO aaa population standard stored in yList deviation of data stored in IXY asas sum of data stored in xList and yList xList minX minimum of data stored in xList KO ine sample standard deviation maxX maximum of data stored in xList of data stored in xList minY minimum of data stored in yList number of data maxY maximum of data stored in yList mean of data stored in yList sum of data stored in yList E Copying a Regression Graph Formula to the GRPH TBL Mode You can copy regression formula calculation results to the GRPH TBL Mode graph formula area and store and compare 1 Press F5 COPY to copy the regression formula that produced the displayed data to the GRPH TBL Mode graph formula area 2 Press Re to save the copied graph formula and return to the previous regression calculation result display You cannot edit regression formulas for graph formulas in the GRPH TBL Mode 19990401 6 3 12 Calculating and Graphing Paired Variable Statistical Data E Multiple Graphs You can draw more than one graph on the same display by using the procedure under Changing Graph Parameters to set the graph draw On non draw Off status of two or all three of the graphs to draw On and then pressing F DRAW see page 6 1 4 After drawing the graphs you can select which graph formula to use when performing single variable statistic or regression calculations aLGrar Dra StatGrarhs
16. l Calculation Results Whenever you perform a regression calculation the regression formula parameter such as a and b in the linear regression y ax b calculation results appear on the display You can use these to obtain statistical calculation results Regression parameters are calculated as soon as you press a function key to select a regression type while a graph is on the display E Graphing Statistical Calculation Results While the parameter calculation result is on the display you can graph the displayed regression formula by pressing F6 DRAW 19990401 6 3 6 Calculating and Graphing Paired Variable Statistical Data E Linear Regression Graph Linear regression uses the method of least squares to plot a straight line that passes close to as many data points as possible and returns values for the slope and y intercept y coordinate when x 0 of the line The graphic representation of this relationship is a linear regression graph CALC 2 Linear DRAW The following is the linear regression model formula y ax b TRACEIPOOMERTCHCALODerGl E ia regression coefficient slope Diven regression constant term intercept Paginii correlation coefficient To serienn coefficient of determination E Med Med Graph When it is suspected that there are a number of extreme values a Med Med graph can be used in place of the least squares method This is similar to linear regression but it minimizes the
17. le statistics include distribution and sum The following types of graphs are available for single variable statistics You can also use the procedures under Changing Graph Parameters on page 6 1 2 to make the settings you want before drawing each graph Normal Probability Plot NPP This plot compares the data accumulated ratio with a normal distribution accumulated ratio XList specifies the list where data is input and Mark Type is used to select from among the marks x you want to plot Press or ES QUIT to return to the statistical data list Histogram Bar Graph Hist XList specifies the list where the data is input while Freq specifies the list where the data frequency is input 1 is specified for Freq when frequency is not specified Set Interval Fil Ch Draw CESE GRFHICALG DEL DELAT INS TRACES 00MERTCHCALG CE The display screen appears as shown above before the graph is drawn At this point you can change the Start and pitch values 19990401 6 2 2 Calculating and Graphing Single Variable Statistical Data E Med box Graph Box This type of graph lets you see how a large number of data items are grouped within specific ranges A box encloses all the data in an area from the 25th percentile to the 75th percentile with a line drawn at the 50th percentile Lines called whiskers extend from either end of the box up to the minimum and maximum of the data XList specifies the list wh
18. o dt l e dt t x x X t xon 660606 Example The following table shows the results of measurements of the height of 20 college students Determine what percentage of the students fall in the range 160 5 cm to 175 5 cm Also in what percentile does the 175 5 cm tall student fall Class no Height cm Frequency 1 158 5 160 5 163 3 167 5 170 2 173 3 175 5 178 6 180 4 186 7 k o CO N OD oO AJN PO NIN BY wy Po po 10 19990401 6 4 6 Performing Statistical Calculations 1 Input the height data into List 1 and the frequency data into List 2 2 Perform the single variable statistical calculations FQ CALC Set F3 LIST 2 E5 Ed FQ CALC 1VAR i 3 Press MEN select the RUN lt MAT menu press E6 gt F1 PROB and recall the probability calculation PROB menu y E PROB 8 0 DOO G Oey Normalized variate for 160 5cm Result 1 633855948 1 634 PROB 8 0 DMO Normalized variate for 175 5cm Result 0 4963343361 0 496 F PROB HB POMO MEGONO EN PROB 6 P0O 0 O 0 4 0 e Percentage of total Result 0 638921 63 9 of total F PROB R0 O 4 O amp 0 Ed Percentile Result 0 30995 31 0 percentile i You can obtain the normalized variate immediately after performing single variable statistical calculations only 19990401 6 4 7 Performin
19. ots to produce an xy line graph Set Up I 1 From the Main Menu enter the STAT Mode Execution 2 Input the data into a list 3 Specify Scat scatter diagram or xy xy line graph as the graph type and then execute the graph operation Press or ES QUIT to return to the statistical data list 19990401 6 3 2 Calculating and Graphing Paired Variable Statistical Data 660606 Example Input the two sets of data shown below Next plot the data on a scatter diagram and connect the dots to produce an xy line graph 0 5 1 2 2 4 4 0 5 2 2 1 0 3 1 5 2 0 2 4 Procedure MEN STAT 2WOOO amp WOOB E AOA amp Oe DO 2 by nja GC B ee OOO E Ae OO bY Scatter diagram F1 GRPH 5 Set F1 Scat F1 GRPH G S Gph1 xy line graph F1 GRPH 5 Set F3 xy Fi GRPH G S Gph1 Result Screen TRACEIS0OMERICHCALCDerGl EI Scatter diagram TRACEIZ00MERTCHCALGoerel E xy line graph 19990401 6 3 3 Calculating and Graphing Paired Variable Statistical Data E Drawing a Regression Graph Description Use the following procedure to input paired variable statistical data perform a regression calculation using the data and then graph the results Set Up I 1 From the Main Menu enter the STAT Mode Execution 2 Input the data into a list and plot the scatter diagram 3 Select the regression type execute the calculation and display the regres
20. section are performed based on the above specifications 19990401 6 4 2 Performing Statistical Calculations E Single Variable Statistical Calculations In the previous examples from Drawing a Normal Probability Plot and Histogram Bar Graph to Line Graph statistical calculation results were displayed after the graph was drawn These were numeric expressions of the characteristics of variables used in the graphic display These values can also be directly obtained by displaying the statistical data list and pressing F3 CALC Q 1VAR After this pressing or scrolls the statistical calculation result display so you can view variable characteristics For details on the meanings of these statistical values see Displaying the Calculation Results of a Drawn Single Variable Graph page 6 2 4 E Paired Varia ble Statistical Calculations In the previous examples from Linear Regression Graph to Logistic Regression Graph statistical calculation results were displayed after the graph was drawn These were numeric expressions of the characteristics of variables used in the graphic display These values can also be directly obtained by displaying the statistical data list and pressing F3 CALC 2 2VAR After this pressing or scrolls the statistical calculation result display so you can view variable characteristics For details on the meanings of these statistical values see
21. sion parameters 4 Draw the regression graph You can perform trace on a regression graph You cannot perform trace scroll 19990401 6 3 4 Calculating and Graphing Paired Variable Statistical Data 660606 Example Input the two sets of data shown below and plot the data on a scatter diagram Next perform logarithmic regression on the data to display the regression parameters and then draws the corresponding regression graph 0 5 1 2 2 4 4 0 5 2 2 1 0 3 1 5 2 0 2 4 Procedure EN STAT w00 OAE BOOKA FO eg gt OBOO amp OO SB w OOO oA e BO ee Fi GRPH G Set Fi Scat Ed Fi GRPH G S Gph1 F4 CALC 7 Log Fe DRAW Result Screen Tor vIDR AW TRACEIZOOMERTCHCALGDerc cI 19990401 6 3 5 Calculating and Graphing Paired Variable Statistical Data E Selecting the Regression Type After you graph paired variable statistical data press F4 CALC Then you can use the function menu at the bottom of the display to select from a variety of different types of regression e 2VAR paired variable statistical results e Linear MedMed Quad Cubic Quart Log Exp Power Sin Lgstic linear regression Med Med quadratic regression cubic regression quartic regression logarithmic regression exponential regression power regression sinusoidal regression logistic regression calculation and graphing E Displaying Statistica
22. ulate This does not indicate malfunction E Residual Calculation Actual plot points y coordinates and regression model distance can be calculated during regression calculations While the statistical data list is on the display recall the SET UP screen to specify a LIST List 1 through List 20 for Resid List Calculated residual data is stored in the specified list The vertical distance from the plots to the regression model will be stored in the list Plots that are higher than the regression model are positive while those that are lower are negative Residual calculation can be performed and saved for all regression models Any data already existing in the selected list is cleared The residual of each plot is stored in the same precedence as the data used as the model 19990401 6 3 11 Calculating and Graphing Paired Variable Statistical Data E Displaying the Calculation Results of a Drawn Paired Variable Graph Paired variable statistics can be expressed as both graphs and parameter values When these graphs are displayed the paired variable calculation results appear as shown below when you press F4 CALC 1 2VAR Nana mean of data stored in xList y sum of squares of data stored in yList DX a ANG sum of data stored in xList YOn waves population standard deviation of data DN saa asanaa sum of squares of data stored in yList stored in xList YOn sample standard deviat
23. ze the data E inputting Data into Lists 6060606 Example To input the following two data groups 0 5 1 2 2 4 4 0 5 2 2 1 0 3 1 5 2 0 2 4 OOO OO be BOVE AOU by OBOOHMOO Bey OOO e A m o o bs GRFHICALG DEL DELAT INS E Once data is input you can use it for graphing and statistical calculations Except for complex numbers calculation You can use the and keys results can be input as statistical data to move the highlighting to any cell in the lists for data input 19990401 6 1 2 Before Performing Statistical Calculations E Changing Graph Parameters Use the following procedures to specify the graph draw non draw status the graph type and other general settings for each of the graphs in the graph menu GPH1 GPH2 GPHS3 While the statistical data list is on the display press Fi GRPH to display the graph menu which contains the following items e S Gph1 S Gph2 S Gph3 graph 1 2 3 drawing e Select simultaneous graph GPH1 GPH2 GPH3 selection You can specify the multiple graphs e Set graph settings graph type list assignments 1 General graph settings GRPH Set This section describes how to use the general graph settings screen to make the following settings for each graph GPH1 GPH2 GPH3 e Graph Type The initial default graph type setting for all the graphs is scatter graph You can select one of a variety of ot
Download Pdf Manuals
Related Search