The main menu area is used for travelling between menus and for loading and creating files. "Create files" first requests information on the type of label to be used for the data. These labels are used only for graphing, and have no impact on the statistical procedures in the program. They may be initialized as blanks to be filled in later by you. They may simply be a counter, in which case you will be asked to specify the starting value and a rate of increment. This option would be used if you wanted to specify calendar years, such as 1988. You may select months as a label. In this case, you must enter a numeric value for the month, such as 1 for January, etc. The data may be specified as days of the week or weekdays. The difference between these two is that days of the week includes Saturday and Sunday, while week days includes only Monday to Friday. For each of these options, you have 13 different ways in which the date may be shown. These are displayed in a grid of 105 squares on the screen. Clicking the mouse button on one of the squares will highlight the style. A subsequent click will return the square to normal. Clicking on OK will make the choice official. This style of dialog box is used throughout B/STAT for selecting variables. Pressing the "F1" key will have the same effect as pressing OK. Pressing the "F2" key will cancel the operation, and the default or previous labels will remain. In other procedures "F2" will also act as a cancel button. After selecting the style, you must specify the date information about the starting day for the data (if relevant). These values must be specified numerically. If you enter an impossible month, such as month 23, the program will take the modulus of 12 and use this number to generate the starting month. In this case getting month 9 or Septempber. Similar actions occur for the day. Years may be entered as 1988 or as simply 88. Any number below 100 is treated as 1900+ the number; any negative numbers are converted to positives, so, unfortunately, years such as 34 B.C. will have to be typed as manual labels. Once the type of label is entered, you will move to the spreadsheet style data entry screen. This screen allows for up to 104 columns of data (or such lessor number as you selected), and as many rows as you initialized in the program. The minimum number of data rows is 10. B/STAT is not a spreadsheet. This screen is simply for data entry, although some facility for variable creation does exist. The spreadsheet uses both drop-down menus and commands for operation. For rapid movement around the spreadsheet the ">" command is used. >s45 will move the cursor to column "S" and row 45 automatically. As well, there are commands for sorting columns, adding them together, etc. The command list is available by selecting the help menu from the data entry screen. For missing data, enter NA as the value. Simply clicking the left mouse button in any grid will move the cursor to that grid. The normal view of the columns in the spreadsheet is as separate data variables. There are statistical procedures in B/STAT, however, which treat the entire collection of data as a matrix of data. These procedures are discussed more fully in the manual and in the individual help screens. B/STAT can save and load different data formats. -"Save" and "load" do so in B/STAT's format. -"DIF load" and "DIF save" do so in the data interchange format introduced by VISICALC many years ago and currently supported by many programs. B/STAT will ask you if you want to load the data by column or row. Strictly speaking, the question is misleading. In the original DIF standard you could save the data by row or by column. Many programs today give you no such choice, so you cannot tell whether the variables were saved as rows or columns. Similarily, B/STAT cannot tell whether the data represents 12 variables with 20 points each, or 20 variables with 12 points each. We suggest that you load data by column and then check to see if you got what you wanted. If not then simply type "FLIP". The program will switch the rows and the columns. Note that B/STAT can accept only numeric data in a DIF file. NOTE B/STAT uses the proper DIF format as specified by the originators of VISICALC. There are many programs which purport to offer DIF support which do not in fact adhere to the standards at all. SwiftCalc ST is one of these, as is Quattro on the PC. -An ASCII file refers to a file in which each record is a number. To be used by B/STAT the data must be in the following order: #rows used; #columns used; data value for col 1 row 1; data value for col 2 row 1; data value for col 3 row 1; etc. An alternative method for ASCII files is comma delimited. If this option is chosen then the number of variables and rows are not entered. The data is entered variable by variable with a comma between data points. The end of each variable is shown by a carriage return. -PRN files are created by many spreadsheet programs. These are actual disk images of pages which would otherwise have been printed. Only numerics are allowed in B/STAT. The data must have been saved in such a way that the columns represent data variables. -WKS files are produced by products such as LOTUS 123. They may also be labelled as WK1 or WK2 files. To load these you must specify a range from the spreadsheet. This range will be stated as A23-F47 for example. Only numeric data will be accepted. If you already have data in B/STAT, you will be asked if you want to replace the existing data or to augment it by creating new variables for the new data. -SYLK files are created by multiplan. In all respects the dialogs are the same as for WKS files. -Editing a file simply places you in the spreadsheet data editor without destroying the existing data. This allows for adding or changing data. -The help drive selection allows you to change the drive path for finding the help files. When you start the program, the drive searched for the files is the one from which the program was started. -The "Print to disk" option is an "on/off" toggle. When high lighted all statistical tests will print to a disk file called "BSTATPRN.DOC" rather than the printer. If the file already exists the data will be appended to the file. -The "Tables" selections load in standard statistics tables so that you can check values against them. Not all possible tables are present. Tables are not used for tests where B/STAT is able to calculate the probability by direct mathematical means. Coach poses a series of questions. Your answers to these will enable the program to suggest statistical procedures. Not all processes available in B/STAT are referenced by "Coach". For example, time series studies are not suggested. This is because coach was designed for a different class of problem than is addressed by time series. As well, some of the procedures in B/STAT are not, in and of themselves, statistical procedures. Interpolation, fourier smoothing, etc., are not really statistical in nature but simply mathematical. To use "Coach", you must have some knowledge about your data and of terms used. The tutorial should give these to you. The first question asks about the number of variables measured for the experimental units. If, for example, you are studying data on cars and you measure the price of each car, then you have measured 1 variable. If you measure gas mileage and acceleration as well, then you have measured 3 variables. If you want to measure the influence of acceleration and gas mileage on price, then price would be considered the dependent, or criterion variable, and acceleration and gas mileage are the independent variables. If you don't want to assume a dependency relationship, then there would be no dependent or criterion variable. In such a case, you would only be looking for relationships among the variables. The succeeding questions will deal with the nature of the variables themselves, to determine whether they are nominally, ordinally, or intervally scaled, and whether they are related or not. At the end of the questions (3 or 4 generally), the program will return a suggested procedure. In some cases, there is none. Remember that one can consider intervally scaled data to be ordinally scaled, and you may wish to do so for some types of analysis. Similarily you can restate ordinal data as nominal on occasion.