Linear Regression t Test

In a spreadsheet, input paired-variable data (page 237 (c) or (d)) as test data.

1301 To perform a Linear Regression t Test on the paired-variable data shown in the nearby screenshot

χ2 Test

For test data, input data of at least one row and two columns (observed matrix) into the spreadsheet. You can see an actual example ( 0704 ) of how this is done using the Statistics application in Chapter 7 of this manual.

χ2 GOF Test

For test data, input two lists (observed list and expected list) into the spreadsheet. This is equivalent to inputting two rows of data of n lines. You can see an actual example ( 0705 ) of how this is done using the Statistics application in Chapter 7 of this manual.

One-Way ANOVA

For test data, input data (Factor A) into the spreadsheet that is n rows ⋅ 2 columns up to n ⋅ 6 columns. You can see an actual example ( 0706 ) of how this is done using the Statistics application in Chapter 7 of this manual.

Two-Way ANOVA

When (Factor A count) × (Factor B count) = m, prepare test data that is n rows × m columns. For example, when there are Factor A items and one Factor B items, input six columns of data into the spreadsheet. For example, select A1:F3 on the spreadsheet and run the wizard. This will automatically assign the cell references shown below to each factor.

 

Factor B1

Factor B2

Factor B3

Factor A1

A1:A3

B1:B3

C1:C3

 

 

 

 

Factor A2

D1:D3

E1:E3

F1:F3

 

 

 

 

1302 To perform the same calculation as Statistics application example 0707 using the Spreadsheet application

Distribution Calculations

For details about the different types of distribution calculations, see “Distributions” (page 145).

uTo perform a distribution calculation and paste the results into the spreadsheet

1.Enter the single-variable or paired-variable data into the spreadsheet, and then select the range of cells where it is located.

•The following shows the types of data that correspond to each type of distribution calculation, and the variables that will be assigned the range of selected data.

Distribution TypeDataVariable Assignment

Probability Density

Single-variable

x

 

 

 

Cumulative Distribution

Paired-variable

Lower, Upper

 

 

 

Inverse Cumulative Distribution

Single-variable

prob

 

 

 

Chapter 13: Spreadsheet Application

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