HP 10413 Datasheet Page 5
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- Table of contents
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The Stats Aplet - Univariate Data ............................................................122
Uni vs. Bi-variate data ................................................................................................122
Clearing data ..............................................................................................................122
Sorting data ................................................................................................................123
The STATS key ..........................................................................................................123
Functions of columns .................................................................................................124
Registering columns as ‘in use’.................................................................................. 124
Working with frequency tables ................................................................................... 125
Auto scale................................................................................................................... 125
Plot Setup options ......................................................................................................126
Box and whisker graphs ............................................................................................. 126
The effect of HRng .....................................................................................................127
Grouped data & HWidth ............................................................................................. 127
Tips & Tricks - Univariate Data................................................................129
New columns as functions of old................................................................................ 129
Simulating Dice ..........................................................................................................129
Simulating Random Variables....................................................................................130
The Stats Aplet - Bivariate Data ..............................................................132
Uni vs. Bi-variate data ................................................................................................132
Clearing data ..............................................................................................................132
Entering data as ordered pairs................................................................................... 133
Adjusting the symbols used to plot points ..................................................................133
The cursor .................................................................................................................. 133
Sorting paired columns...............................................................................................134
Specifying the fit model .............................................................................................. 134
Multiple data sets .......................................................................................................134
Choosing from available fit models ............................................................................135
The User Defined model ............................................................................................135
Connected data ..........................................................................................................136
Two Variable Statistics ...............................................................................................137
Showing the line of best fit .........................................................................................138
Predicting using PREDY.............................................................................................. 140
Predicting using the PLOT view.................................................................................. 140
RelErr as a measure of non-linear fit....................................................................... 141
Tips & Tricks - Bivariate Data..................................................................143
New columns as functions of old................................................................................ 143
Using values from in calculations ..................................................................143
Obtaining coefficients from the fit model ....................................................................145
Finding Fit Coefficients............................................................................................... 145
Correct interpretation of the PREDX function ............................................................ 146
Assigning rank orders to sets of data.........................................................................147
Using Stats to find equations from point data ............................................................ 148
The Inference aplet...................................................................................150
Using the Chi2 test on a frequency table ................................................................... 150
Hypothesis test: T-Test 1-µ ....................................................................................... 151
Confidence interval: T-Int 1-µ .................................................................................... 153
Hypothesis test: T-Test µ
1
-µ
2
.....................................................................................154
Hypothesis test: Z-Test 1-µ ....................................................................................... 156
Tips & Tricks - Inference..........................................................................158
Importing from a frequency table ...............................................................................158
- Mastering the hp 39g+ 1
- Table of Contents 2
- 76yx x x=−−+ 16
- √35. The 25
- HOME too 27
- Standard mode, very 31
- −− then 33
- 3, 1TT==and 46
- →) into 47
- √(5+Ans) 50
- ENTER will 52
- (-) which is in the same row 55
- The cursor 61
- …and at the 61
- Move to about 63
- it is a 66
- 111xx+−+− 71
- XX= then 3( ) 1( 2( )) 72
- XFFX= will show 72
- 13 13x−≤≤ and 75
- = using 75
- (,, , )a b function X 80
- 1( ) 1FX X 81
- − and then 81
- () 0.5 1gx x=−from x = -2 to 84
- ≥ -2 AND X ≤ 1) 85
- 285 10⋅× then 1/X is 89
- 2 5087719298 10 89
- × . When you 89
- All the normal function 93
- 1( ) 1FX X=− & 94
- 65 65X−≤≤ 97
- . If you wish to 100
- ≤ to 05t 101
- ≤ gives a graph that 101
- () 2 5 2 3vt t t t 104
- 1( ) 4 cos(3 )R 106
- = 2( ) 0.5R 106
- 3( ) 3 2sin(10 )R 106
- T = . If you type it in 107
- 2 1475 10⋅× 109
- 14 29⋅ . This means, of 111
- 16 67⋅ 114
- 252fx x x x=− −+ 115
- 2, , ^ 3 , 4AX X X−= 117
- BC B+=⋅ 118
- *5*AB C B+=⋅ becomes 119
- 2vu ad=− 120
- Σ(I=1,20,RANDOM<0 130
- 0.8199 1.1662yx=+ 139
- 0.693147 142
- YX=⋅ +⋅ earlier would use 146
- Competitor Time 147
- N and of k 148
- N and k 148
- Sample t value is 152
- ↑ and ↓ keys. The size of 165
- → and ← keys 165
- 1.2Px≤ ” 193
- PX x≤ , E9 giving 194
- • HP39/40G (Wire) 198
- • Disk drive… 198
- • Choose the parent aplet; 212
- SETVIEWS 214
- the PLOT 222
- the PLOT view has 222
- VIEWS to see the menu.” 224
- HP39DIR.CUR 226
- HP39DIR.000 226
- (2)(31)xx 244
- −− has been expanded on the 244
- 45 23 17 248
- 4 8723 10⋅× 249
- 0 8199 1 1662YX=⋅ +⋅ 254
- 450xx−−= 257
- 0.0000003 260
- + could be entered into the 262
- {list}) 265
- ∆LIST(L1)={3,3,3,3} 266
- 1x − = 63 269
- (3,4,0) or 4 271
- , , ,...xxx 277
- () 7 6fx x x=−+ 277
- −+−=−+ we 279
- C using the formula 280
- RANDSEED 281
- ()01Px x>=⋅ 282
- () 2 2 1gx x x 284
- POLYROOT 285
- () 4 6fx x x x=− ++… 286
- 5 4 32 23 4 5 290
- N and k and store 292
- 32 0z −=, setting the other 295
- 5sin 5cosri j 297
- 'lim 303
- +++ and 304
- ,: 0.51 1xy y x y x 307
- ≤X AND X≤1) 308
- MAXREAL of 309
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