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Statistical Procedure

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Statistical Procedure for Quantitative research

  • statistical procedure - a method of analyzing or representing statistical data; a procedure for calculating astatistic

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.

statistical method

method - a way of doing something, especially a systematic way; implies an orderly logical arrangement (usually in steps)

statistics - a branch of applied mathematics concerned with the collection and interpretation of quantitative data and the use of probability theory to estimate population parameters

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  • least squaresmethod of least squares - a method of fitting a curve to data points so as to minimize the sumof the squares of the distances of the points from the curve
  • multivariate analysis - a generic term for any statistical technique used to analyze data from more than onevariable
  • regression toward the meansimple regressionstatistical regressionregression - the relation between selected values of x and observed values of y (from which the most probable value of y can be predicted for anyvalue of x)

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Methods

Analysis Procedures

Graphics Procedures

Data Operations and Procedures

Tools

Analysis of Variance (ANOVA)

Appraisal

Cluster Analysis

Correlation

Curve Fitting

Descriptive Statistics

Design of Experiments

Diagnostic Tests

Distribution Fitting

Forecasting

Group-Sequential

Item Analysis

Meta-Analysis

Method Comparison

Mixed Models

Multivariate Analysis

Nondetects Data

Nonparametric

Operations Research

Proportions

Quality Control

Reference Intervals

Regression

Reliability

ROC Curves

Survey Data

Survival Analysis

Time Series

T-Tests

Two-Way Tables

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Descriptive Research Statistical Methods

  • Descriptive Statistics - Summary Tables (old & New)
  • Descriptive Statistics - Summary Lists
  • Cluster Randomization - Create Cluster Means Dataset
  • Contingency Tables (Crosstabs / Chi-Square Test)
  • Frequency Tables
  • Box-Cox Transformation
  • Data Screening
  • Data Simulation
  • Grubbs' Outlier Test
  • Normality Tests
  • Area Under Curve
  • Circular Data Analysis
  • Tolerance Intervals

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Descriptive Statistics

SUMMARY TABLES

-Count

-Missing Count

-Sum

-Mean

-Standard Deviation (SD)

-Standard Error (SE)

-95% Confidence Limit for the Mean

-Median

-Minimum

-Maximum

-Range

-Interquartile Range (IQR)

-10th, 25th, 75th, and 90th Percentiles

-Variance

-Mean Absolute Deviation (MAD)

-Mean Absolute Deviation from the Median (MADM)

-Coefficient of Variation (COV)

-Coefficient of Dispersion (COD)

-Skewness

-Kurtosis