Home » Casio Manuals » Calculators » Casio FX-CG10 » Manual Viewer

Casio FX-CG10 Software User Guide - Page 225

Tests

Add to My Manuals
Save this manual to your list of manuals

Page 225 highlights

5. Tests The Z Test provides a variety of different standardization-based tests. They make it possible to test whether or not a sample accurately represents the population when the standard deviation of a population (such as the entire population of a country) is known from previous tests. Z testing is used for market research and public opinion research, that need to be performed repeatedly. 1-Sample Z Test tests for the unknown population mean when the population standard deviation is known. 2-Sample Z Test tests the equality of the means of two populations based on independent samples when both population standard deviations are known. 1-Prop Z Test tests for an unknown proportion of successes. 2-Prop Z Test tests to compare the proportion of successes from two populations. The t Test tests the hypothesis when the population standard deviation is unknown. The hypothesis that is the opposite of the hypothesis being proven is called the null hypothesis, while the hypothesis being proved is called the alternative hypothesis. The t Test is normally applied to test the null hypothesis. Then a determination is made whether the null hypothesis or alternative hypothesis will be adopted. 1-Sample t Test tests the hypothesis for a single unknown population mean when the population standard deviation is unknown. 2-Sample t Test compares the population means when the population standard deviations are unknown. LinearReg t Test calculates the strength of the linear association of paired data. With the χ2 test, a number of independent groups are provided and a hypothesis is tested relative to the probability of samples being included in each group. The χ2 GOF test (χ2 one-way Test) tests whether the observed count of sample data fits a certain distribution. For example, it can be used to determine conformance with normal distribution or binomial distribution. The χ2 two-way test creates a cross-tabulation table that structures mainly two qualitative variables (such as "Yes" and "No"), and evaluates the independence of the variables. 2-Sample F Test tests the hypothesis for the ratio of sample variances. It could be used, for example, to test the carcinogenic effects of multiple suspected factors such as tobacco use, alcohol, vitamin deficiency, high coffee intake, inactivity, poor living habits, etc. ANOVA tests the hypothesis that the population means of the samples are equal when there are multiple samples. It could be used, for example, to test whether or not different combinations of materials have an effect on the quality and life of a final product. One-Way ANOVA is used when there is one independent variable and one dependent variable. Two-Way ANOVA is used when there are two independent variables and one dependent variable. 6-32

Section	Page
Contents	3
Getting Acquainted — Read This First!	6
Chapter 1 Basic Operation	8
1. Keys	8
2. Display	10
3. Inputting and Editing Calculations	14
4. Using the Math Input/Output Mode	20
5. Option (OPTN) Menu	34
6. Variable Data (VARS) Menu	35
7. Program (PRGM) Menu	38
8. Using the Setup Screen	39
9. Using Screen Capture	43
10. When you keep having problems...	44
Chapter 2 Manual Calculations	47
1. Basic Calculations	47
2. Special Functions	53
3. Specifying the Angle Unit and Display Format	58
4. Function Calculations	60
5. Numerical Calculations	70
6. Complex Number Calculations	80
7. Binary, Octal, Decimal, and Hexadecimal Calculations with Integers	84
8. Matrix Calculations	87
9. Metric Conversion Calculations	104
Chapter 3 List Function	108
1. Inputting and Editing a List	108
2. Manipulating List Data	114
3. Arithmetic Calculations Using Lists	120
4. Switching between List Files	124
5. Using CSV Files	125
Chapter 4 Equation Calculations	128
1. Simultaneous Linear Equations	128
2. High-order Equations from 2nd to 6th Degree	130
3. Solve Calculations	131
Chapter 5 Graphing	133
1. Sample Graphs	133
2. Controlling What Appears on a Graph Screen	136
3. Drawing a Graph	145
4. Saving and Recalling Graph Screen Contents	152
5. Drawing Two Graphs on the Same Screen	155
6. Manual Graphing	157
7. Using Tables	162
8. Modifying a Graph	168
9. Dynamic Graphing	172
10. Graphing a Recursion Formula	175
11. Graphing a Conic Section	180
12. Drawing Dots, Lines, and Text on the Graph Screen (Sketch)	182
13. Function Analysis	184
Chapter 6 Statistical Graphs and Calculations	194
1. Before Performing Statistical Calculations	194
2. Calculating and Graphing Single-Variable Statistical Data	201
3. Calculating and Graphing Paired-Variable Statistical Data (Curve Fitting)	207
4. Performing Statistical Calculations	215
5. Tests	225
6. Confidence Interval	239
7. Distribution	242
8. Input and Output Terms of Tests, Confidence Interval, and Distribution	258
9. Statistic Formula	261
Chapter 7 Financial Calculation	265
1. Before Performing Financial Calculations	265
2. Simple Interest	267
3. Compound Interest	268
4. Cash Flow (Investment Appraisal)	271
5. Amortization	273
6. Interest Rate Conversion	276
7. Cost, Selling Price, Margin	277
8. Day/Date Calculations	278
9. Depreciation	279
10. Bond Calculations	281
11. Financial Calculations Using Functions	284
Chapter 8 Programming	285
1. Basic Programming Steps	285
2. Program Mode Function Keys	286
3. Editing Program Contents	288
4. File Management	290
5. Command Reference	295
6. Using Calculator Functions in Programs	312
7. Program Mode Command List	335
8. CASIO Scientific Function Calculator Special Commands ⇔ Text Conversion Table	343
9. Program Library	350
Chapter 9 Spreadsheet	352
1. Spreadsheet Basics and the Function Menu	352
2. Basic Spreadsheet Operations	354
3. Using Special Spreadsheet Mode Commands	370
4. Conditional Formatting	372
5. Drawing Statistical Graphs, and Performing Statistical and Regression Calculations	378
6. Spreadsheet Mode Memory	385
Chapter 10 eActivity	388
1. eActivity Overview	388
2. eActivity Function Menus	389
3. eActivity File Operations	391
4. Inputting and Editing Data	393
Chapter 11 Memory Manager	411
1. Using the Memory Manager	411
Chapter 12 System Manager	424
1. Using the System Manager	424
2. System Settings	424
Chapter 13 Data Communication	432
1. Performing Data Communication between the Calculator and a Personal Computer	434
2. Performing Data Communication between Two Calculators	441
3. Connecting the Calculator to a Projector	447
Chapter 14 Geometry	448
1. Geometry Mode Overview	448
2. Drawing and Editing Objects	458
3. Controlling the Appearance of the Geometry Window	480
4. Using Text and Labels in a Screen Image	484
5. Using the Measurement Box	488
6. Working with Animations	503
Chapter 15 Picture Plot	512
1. Picture Plot Function Menus	514
2. Managing Picture Plot Files	516
3. Using the Plot Function	518
4. Using the Plot List	524
5. Common Functions with the Graph Mode	529
Appendix	530
1. Error Message Table	530
2. Input Ranges	543
E-Con2 Application	545
1. E-Con2 Overview	546
2. Using the Setup Wizard	547
3. Using Advanced Setup	553
4. Using a Custom Probe	564
5. Using the MULTIMETER Mode	568
6. Using Setup Memory	569
7. Using Program Converter	572
8. Starting a Sampling Operation	575
9. Using Sample Data Memory	578
10. Using the Graph Analysis Tools to Graph Data	580
11. Graph Analysis Tool Graph Screen Operations	584

Match case Limit results 1 per page

6-32

5. Tests

The

Test

provides a variety of different standardization-based tests. They make it possible to

test whether or not a sample accurately represents the population when the standard deviation

of a population (such as the entire population of a country) is known from previous tests.

testing is used for market research and public opinion research, that need to be performed

repeatedly.

1-Sample

Test

tests for the unknown population mean when the population standard

deviation is known.

2-Sample

Test

tests the equality of the means of two populations based on independent

samples when both population standard deviations are known.

1-Prop

Test

tests for an unknown proportion of successes.

2-Prop

Test

tests to compare the proportion of successes from two populations.

The

Test

tests the hypothesis when the population standard deviation is unknown. The

hypothesis that is the opposite of the hypothesis being proven is called the

null hypothesis

while the hypothesis being proved is called the

alternative hypothesis

. The

Test is normally

applied to test the null hypothesis. Then a determination is made whether the null hypothesis

or alternative hypothesis will be adopted.

1-Sample

Test

tests the hypothesis for a single unknown population mean when the

population standard deviation is unknown.

2-Sample

Test

compares the population means when the population standard deviations are

unknown.

LinearReg

Test

calculates the strength of the linear association of paired data.

With the

test

, a number of independent groups are provided and a hypothesis is tested

relative to the probability of samples being included in each group.

The

GOF test

(

one-way Test) tests whether the observed count of sample data fits

a certain distribution. For example, it can be used to determine conformance with normal

distribution or binomial distribution.

The

two-way test

creates a cross-tabulation table that structures mainly two qualitative

variables (such as “Yes” and “No”), and evaluates the independence of the variables.

2-Sample

Test

tests the hypothesis for the ratio of sample variances. It could be used, for

example, to test the carcinogenic effects of multiple suspected factors such as tobacco use,

alcohol, vitamin deficiency, high coffee intake, inactivity, poor living habits, etc.

ANOVA

tests the hypothesis that the population means of the samples are equal when

there are multiple samples. It could be used, for example, to test whether or not different

combinations of materials have an effect on the quality and life of a final product.

One-Way ANOVA

is used when there is one independent variable and one dependent

variable.

Two-Way ANOVA

is used when there are two independent variables and one dependent

variable.