User Manual
Table Of Contents
- Contents
- Getting Acquainted — Read This First!
- Chapter 1 Basic Operation
- Chapter 2 Manual Calculations
- 1. Basic Calculations
- 2. Special Functions
- 3. Specifying the Angle Unit and Display Format
- 4. Function Calculations
- 5. Numerical Calculations
- 6. Complex Number Calculations
- 7. Binary, Octal, Decimal, and Hexadecimal Calculations with Integers
- 8. Matrix Calculations
- 9. Vector Calculations
- 10. Metric Conversion Calculations
- Chapter 3 List Function
- Chapter 4 Equation Calculations
- Chapter 5 Graphing
- 1. Sample Graphs
- 2. Controlling What Appears on a Graph Screen
- 3. Drawing a Graph
- 4. Storing a Graph in Picture Memory
- 5. Drawing Two Graphs on the Same Screen
- 6. Manual Graphing
- 7. Using Tables
- 8. Dynamic Graphing
- 9. Graphing a Recursion Formula
- 10. Graphing a Conic Section
- 11. Changing the Appearance of a Graph
- 12. Function Analysis
- Chapter 6 Statistical Graphs and Calculations
- 1. Before Performing Statistical Calculations
- 2. Calculating and Graphing Single-Variable Statistical Data
- 3. Calculating and Graphing Paired-Variable Statistical Data
- 4. Performing Statistical Calculations
- 5. Tests
- 6. Confidence Interval
- 7. Distribution
- 8. Input and Output Terms of Tests, Confidence Interval, and Distribution
- 9. Statistic Formula
- Chapter 7 Financial Calculation (TVM)
- Chapter 8 Programming
- Chapter 9 Spreadsheet
- Chapter 10 eActivity
- Chapter 11 Memory Manager
- Chapter 12 System Manager
- Chapter 13 Data Communication
- Chapter 14 PYTHON (fx-9860GIII, fx-9750GIII only)
- Chapter 15 Distribution (fx-9860GIII, fx-9750GIII only)
- Appendix
- Examination Modes (fx-9860GIII, fx-9750GIII only)
- E-CON3 Application (English) (fx-9860GIII, fx-9750GIII)
- 1 E-CON3 Overview
- 2 Using the Setup Wizard
- 3 Using Advanced Setup
- 4 Using a Custom Probe
- 5 Using the MULTIMETER Mode
- 6 Using Setup Memory
- 7 Using Program Converter
- 8 Starting a Sampling Operation
- 9 Using Sample Data Memory
- 10 Using the Graph Analysis Tools to Graph Data
- 11 Graph Analysis Tool Graph Screen Operations
- 12 Calling E-CON3 Functions from an eActivity
6-40
u 2-Sample t Interval
2-Sample t Interval calculates the confidence interval for the difference between two
population means when both population standard deviations are unknown. The
t interval is
applied to
t distribution.
Perform the following key operations from the statistical data list.
4(INTR)
2(t)
2(2-S)
7. Distribution
Important!
• Distribution calculations cannot be performed on the fx-7400GIII.
There is a variety of different types of distribution, but the most well-known is “normal
distribution”, which is essential for performing statistical calculations. Normal distribution
is a symmetrical distribution centered on the greatest occurrences of mean data (highest
frequency), with the frequency decreasing as you move away from the center. Poisson
distribution, geometric distribution, and various other distribution shapes are also used,
depending on the data type.
Certain trends can be determined once the distribution shape is determined. You can calculate
the probability of data taken from a distribution being less than a specific value.
For example, distribution can be used to calculate the yield rate when manufacturing some
product. Once a value is established as the criteria, you can calculate normal probability when
estimating what percent of the products meet the criteria. Conversely, a success rate target
(80% for example) is set up as the hypothesis, and normal distribution is used to estimate the
proportion of the products will reach this value.
Normal probability density calculates the probability density of normal distribution from a
specified
x value.
Normal cumulative distribution calculates the probability of normal distribution data falling
between two specific values.
Inverse normal cumulative distribution calculates a value that represents the location within
a normal distribution for a specific cumulative probability.
Student- t probability density calculates t probability density from a specified x value.
Student- t cumulative distribution calculates the probability of t distribution data falling
between two specific values.
Inverse Student- t cumulative distribution calculates the lower bound value of a Student- t
cumulative probability density for a specified percentage.
Like t distribution, probability density (or probability), cumulative distribution and inverse
cumulative distribution can also be calculated for
χ
2
, F , Binomial , Poisson , Geometric and
Hypergeometric distributions.
On the initial STAT mode screen, press 5(DIST) to display the distribution menu, which
contains the following items.