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6-5-1 Tests 6-5 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. χ2 Test tests hypothesis concerning the proportion of samples included in each of a number of independent groups. Mainly, it generates cross-tabulation of two categorical variables (such as yes, no) and evaluates the independence of these variables. It could be used, for example, to evaluate the relationship between whether or not a driver has ever been involved in a traffic accident and that person's knowledge of traffic regulations. 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. 20050401

Section	Page
BEFORE USING THE CALCULATOR FOR THE FIRST TIME...	3
Quick-Start	5
Quick-Start	6
TURNING POWER ON AND OFF	6
USING MODES	6
BASIC CALCULATIONS	7
REPLAY FEATURE	8
FRACTION CALCULATIONS	9
EXPONENTS	10
GRAPH FUNCTIONS	11
DUAL GRAPH	13
DYNAMIC GRAPH	14
TABLE FUNCTION	16
Precautions when Using this Product	17
Precautions when Connecting to a Computer	17
Handling Precautions	18
Contents	20
Getting Acquainted — Read This First!	24
Chapter 1 Basic Operation	26
1-1 Keys	27
1-2 Display	30
1-3 Inputting and Editing Calculations	35
1-4 Option (OPTN) Menu	51
1-5 Variable Data (VARS) Menu	53
1-6 Program (PRGM) Menu	57
1-7 Using the Setup Screen	58
1-8 Using Screen Capture	63
1-9 When you keep having problems…	64
Chapter 2 Manual Calculations	66
2-1 Basic Calculations	67
2-2 Special Functions	73
2-3 Specifying the Angle Unit and Display Format	81
2-4 Function Calculations	83
2-5 Numerical Calculations	95
2-6 Complex Number Calculations	108
2-7 Binary, Octal, Decimal, and Hexadecimal Calculations with Integers	113
2-8 Matrix Calculations	118
Chapter 3 List Function	140
3-1 Inputting and Editing a List	141
3-2 Manipulating List Data	149
3-3 Arithmetic Calculations Using Lists	157
3-4 Switching Between List Files	162
Chapter 4 Equation Calculations	163
4-1 Simultaneous Linear Equations	164
4-2 Quadratic and Cubic Equations	166
4-3 Solve Calculations	168
4-4 What to Do When an Error Occurs	170
Chapter 5 Graphing	171
5-1 Sample Graphs	172
5-2 Controlling What Appears on a Graph Screen	180
5-3 Drawing a Graph	190
5-4 Storing a Graph in Picture Memory	199
5-5 Drawing Two Graphs on the Same Screen	200
5-6 Manual Graphing	206
5-7 Using Tables	214
5-8 Dynamic Graphing	230
5-9 Graphing a Recursion Formula	238
5-10 Changing the Appearance of a Graph	248
5-11 Function Analysis	256
Chapter 6 Statistical Graphs and Calculations	278
6-1 Before Performing Statistical Calculations	279
6-2 Calculating and Graphing Single-Variable Statistical Data	283
6-3 Calculating and Graphing Paired-Variable Statistical Data	287
6-4 Performing Statistical Calculations	301
6-5 Tests	311
6-6 Confidence Interval	336
6-7 Distribution	347
Chapter 7 Financial Calculation (TVM)	369
7-1 Before Performing Financial Calculations	370
7-2 Simple Interest	372
7-3 Compound Interest	374
7-4 Cash Flow (Investment Appraisal)	378
7-5 Amortization	381
7-6 Interest Rate Conversion	384
7-7 Cost, Selling Price, Margin	385
7-8 Day/Date Calculations	386
Chapter 8 Programming	388
8-1 Basic Programming Steps	389
8-2 PRGM Mode Function Keys	391
8-3 Editing Program Contents	393
8-4 File Management	397
8-5 Command Reference	401
8-6 Using Calculator Functions in Programs	419
8-7 PRGM Mode Command List	431
8-8 Program Library	434
Chapter 9 Spreadsheet	444
9-1 Spreadsheet Overview	445
9-2 File Operations and Re-calculation	449
9-3 Basic Spreadsheet Screen Operations	452
9-4 Inputting and Editing Cell Data	456
9-5 S.SHT Mode Commands	477
9-6 Statistical Graphs	481
9-7 Using the CALC Function	487
9-8 Using Memory in the S.SHT Mode	491
Chapter 10 eActivity	496
10-1 eActivity Overview	497
10-2 Working with eActivity Files	505
10-3 Inputting and Editing eActivity File Data	508
10-4 Using Matrix Editor and List Editor	528
10-5 eActivity File Memory Usage Screen	530
Chapter 11 System Settings Menu	531
11-1 Using the System Settings Menu	532
11-2 System Settings	533
11-3 Version List	535
11-4 Reset	537
Chapter 12 Data Communications	539
12-1 Connecting Two Units	540
12-2 Connecting the Unit to a Personal Computer	541
12-3 Performing a Data Communication Operation	542
12-4 Data Communications Precautions	547
12-5 Image Transfer	550
12-6 Add-ins	553
12-7 MEMORY Mode	554
Appendix	571
1 Error Message Table	572
2 Input Ranges	576
3 Specifications	579
4 Key Index	581
5 P Button (In case of hang up)	584

Match case Limit results 1 per page

20050401

6-5

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.

Test

tests hypothesis concerning the proportion of samples included in each of a number

of independent groups. Mainly, it generates cross-tabulation of two categorical variables

(such as yes, no) and evaluates the independence of these variables. It could be used, for

example, to evaluate the relationship between whether or not a driver has ever been involved

in a traffic accident and that person’s knowledge of traffic regulations.

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.

6-5-1

Tests