Table of Contents

Title Page

Table of Contents

Introduction

• Modes of Operation
• Basic Data Entry
• Built-In Examples
• Analyzing Data
• Using the Statistical Interpreter
• Obtaining Hardcopy Output

Chapter 1: File

• 1.1 New - creating and working with a new datasheet
• 1.2 Open, Save, Save as - working with an existing datasheet

  1.2.1 Accessing data files over the Internet

  1.2.2 Accessing local data files

• 1.3 Close statlet, Close all statlets - deleting currently displayed statlets

Chapter 2: Edit

• 2.1 Preferences - setting system preferences
• 2.2 Cut, Copy, Paste, Delete - manipulating spreadsheet rows, columns and cells

Chapter 3: Plot

• 3.1 One variable - one variable scatterplot and time sequence plot
• 3.2 Y versus X - two variable scatterplot
• 3.3 Z versus X and Y - 3D scatterplot, draftsman's plot, casement plot
• 3.4 Barcharts and piecharts - basic business charts
• 3.5 Contingency tables - displays for twoway tables
• 3.6 Probability distributions - pdf, cdf, tail areas and critical values

Chapter 4: Summarize

• 4.1 Statistics - summary statistics and graphical displays for multiple columns of numeric data
• 4.2 Tabulation - frequency tabulation and graphical display of a single column of categorical data
• 4.3 Crosstabulation - creation of a two-way table and graphical displays for two columns of categorical data

Chapter 5: Analyze

• 5.1 One Sample

  5.1.1 One Variable Analysis - numerical and graphical summaries of a single column of data

  5.1.2 Hypothesis Tests (Mean and Sigma) - tests concerning the normal mean and standard deviation

  5.1.3 Hypothesis Tests (Proportion) - tests concerning the binomial proportion

  5.1.4 Hypothesis Tests (Rate) - tests concerning the Poisson rate

• 5.2 Two Sample Comparisons

  5.2.1 Independent Samples - comparison of samples independently taken from two populations

  5.2.2 Paired Samples - comparison of paired data taken from two populations

  5.2.3 Hypothesis Tests (Means and Sigmas) - tests concerning the difference between two normal means and standard deviations

  5.2.4 Hypothesis Tests (Proportions) - tests concerning the difference between two binomial proportions

  5.2.5 Hypothesis Tests (Rates) - tests concerning the difference between two Poisson rates

• 5.3 Multiple Samples

  5.3.1 Completely Randomized Design - comparison of samples taken independently from several populations

  5.3.2 Randomized Block Design - comparison of samples taken in blocks

• 5.4 Sample Size Determination

  5.4.1 Normal Mean - for estimating the mean of a normal distribution

  5.4.2 Normal Sigma - for estimating the standard deviation of a normal distribution

  5.4.3 Binomial Proportion - for estimating the parameter of a binomial distribution

  5.4.4 Poisson Rate - for estimating the rate parameter of a Poisson distribution

  5.4.5 Comparison of Two Means - for comparing the means of two normal distributions

  5.4.6 Comparison of Two Sigmas - for comparing the standard deviations of two normal distributions

  5.4.7 Comparison of Two Proportions - for comparing the parameters of two binomial distributions

  5.4.8 Comparison of Two Rates - for comparing the rate parameters of two Poisson distributions

  5.4.9 Comparison of Several Means - for comparing the means of more than two normal distributions

Chapter 6: Model

• 6.1 Analysis of Variance

  6.1.1 Oneway ANOVA - analysis of a one-factor experiment

  6.1.2 Oneway ANOVA with Blocking - analysis of a one-factor experiment with blocking

  6.1.3 Oneway ANOVA with Covariate - analysis of a one-factor experiment with a covariate

  6.1.4 Twoway ANOVA - analysis of an experiment with two crossed factors

  6.1.5 Factorial Experiments - analysis of an experiment with several crossed factors

• 6.2 Regression Analysis

  6.2.1 Simple Regression - estimation of linear and nonlinear models relating Y to X

  6.2.2 Calibration Curves - estimation of calibration curves for predicting X given Y

  6.2.3 Polynomial Regression - estimation of polynomial models relating Y to powers of X

  6.2.4 Multiple Regression - estimation of models relating Y to several different X's

• 6.3 Time Series Analysis

  6.3.1 Descriptive Methods - numerical and graphical summaries of time series data

  6.3.2 Seasonal Decomposition - analysis and display of seasonal time series

  6.3.3 Forecasting Models - estimation and forecasting using statistical models

Chapter 7: Quality

• 7.1 Pareto Analysis - analysis of defect counts to find the vital few
• 7.2 Capability Analysis - comparison of data to process specifications
• 7.3 Control Charts for Variables

  7.3.1 Individuals Chart - X chart and moving range chart for individual measurements

  7.3.2 X-bar and R Charts - average and range charts for grouped data

  7.3.3 X-bar and S Charts - average and standard deviation charts for grouped data

• 7.4 Control Charts for Attributes

  7.4.1 P Chart - control chart for proportions

  7.4.2 NP Chart - control chart for counts

  7.4.3 U Chart - control chart for defects per unit

  7.4.4 C Chart - control chart for number of defects

Chapter 8: Window

Chapter 9: Help

Glossary

Index

By Neil W. Polhemus
Copyright © 1997 by NWP Associates, Inc. All rights reserved.
Revised: July 31, 1997.