Texas Instruments TINSPIRE Reference Guide - Page 109

tCdf() tCdf(lowBound,upBound,df) ⇒ number if lowBound and upBound are numbers, list if lowBound and upBound are lists Computes the Student-t distribution probability between lowBound and upBound for the specified degrees of freedom df. For P(X { upBound), set lowBound = .9E999. Catalog > Text Catalog > Text promptString [, DispFlag] Programming command: Pauses the program and displays the character string promptString in a dialog box. When the user selects OK, program execution continues. The optional flag argument can be any expression. • If DispFlag is omitted or evaluates to 1, the text message is added to the Calculator history. • If DispFlag evaluates to 0, the text message is not added to the history. If the program needs a typed response from the user, refer to Request, page 83, or RequestStr, page 84. Note: You can use this command within a user-defined program but not within a function. Define a program that pauses to display each of five random numbers in a dialog box. Within the Prgm...EndPrgm template, complete each line by @ · pressing instead of . On the computer keyboard, hold down Alt and press Enter. Define text_demo()=Prgm For i,1,5 strinfo:="Random number " & string(rand(i)) Text strinfo Next EndPrgm Run the program: text_demo() Sample of one dialog box: Then See If, page 45. tInterval tInterval List[,Freq[,CLevel]] (Data list input) tInterval v,sx,n[,CLevel] (Summary stats input) Computes a t confidence interval. A summary of results is stored in the stat.results variable. (See page 97.) For information on the effect of empty elements in a list, see "Empty (void) elements" on page 131. Catalog > Output variable Description stat.CLower, stat.CUpper Confidence interval for an unknown population mean stat.x Sample mean of the data sequence from the normal random distribution stat.ME Margin of error stat.df Degrees of freedom stat.sx Sample standard deviation TI-Nspire™ Reference Guide 103