• Study Resource
  • Explore
    • Arts & Humanities
    • Business
    • Engineering & Technology
    • Foreign Language
    • History
    • Math
    • Science
    • Social Science

    Top subcategories

    • Advanced Math
    • Algebra
    • Basic Math
    • Calculus
    • Geometry
    • Linear Algebra
    • Pre-Algebra
    • Pre-Calculus
    • Statistics And Probability
    • Trigonometry
    • other →

    Top subcategories

    • Astronomy
    • Astrophysics
    • Biology
    • Chemistry
    • Earth Science
    • Environmental Science
    • Health Science
    • Physics
    • other →

    Top subcategories

    • Anthropology
    • Law
    • Political Science
    • Psychology
    • Sociology
    • other →

    Top subcategories

    • Accounting
    • Economics
    • Finance
    • Management
    • other →

    Top subcategories

    • Aerospace Engineering
    • Bioengineering
    • Chemical Engineering
    • Civil Engineering
    • Computer Science
    • Electrical Engineering
    • Industrial Engineering
    • Mechanical Engineering
    • Web Design
    • other →

    Top subcategories

    • Architecture
    • Communications
    • English
    • Gender Studies
    • Music
    • Performing Arts
    • Philosophy
    • Religious Studies
    • Writing
    • other →

    Top subcategories

    • Ancient History
    • European History
    • US History
    • World History
    • other →

    Top subcategories

    • Croatian
    • Czech
    • Finnish
    • Greek
    • Hindi
    • Japanese
    • Korean
    • Persian
    • Swedish
    • Turkish
    • other →
 
Profile Documents Logout
Upload
Regression Analysis - Sara McLaughlin Mitchell
Regression Analysis - Sara McLaughlin Mitchell

6 Sample Size Calculations
6 Sample Size Calculations

Multiple choice test from Spring 1998
Multiple choice test from Spring 1998

Chapter 9: Introduction to the t statistic
Chapter 9: Introduction to the t statistic

PPT presentation
PPT presentation

Statistics 67 Introduction to Probability and Statistics for Computer
Statistics 67 Introduction to Probability and Statistics for Computer

LECTURE 13: Cross
LECTURE 13: Cross

Math Review Powerpoint - St. Charles Parish Public Schools
Math Review Powerpoint - St. Charles Parish Public Schools

... •The student’s t test is a statistical method that is used to see if to sets of data differ significantly. •The method assumes that the results follow the normal distribution (also called student's t-distribution) if the null hypothesis is true. •This null hypothesis will usually stipulate that ther ...
Solutions to Statistics 302 Midterm 3
Solutions to Statistics 302 Midterm 3

Download File
Download File

Stats Practical 3 2006
Stats Practical 3 2006

... Your task is to establish whether or not the pebble lengths at this locality are significantly larger than those at the first locality, i.e. whether or not the two samples are likely to have been taken from different populations. If the means of the two samples are x 1 and x 2 ,the null hypothesis ( ...
Lecture 4 - Chemistry
Lecture 4 - Chemistry

1 Activity Sheet Confidence Intervals and Plausible Values This
1 Activity Sheet Confidence Intervals and Plausible Values This

§9.3--Hypothesis Tests for One Population Mean When is Known
§9.3--Hypothesis Tests for One Population Mean When is Known

A study was conducted using data collected on the birth weights of a
A study was conducted using data collected on the birth weights of a

Lecture 2
Lecture 2

Chapter 14 – Analysis of Variance (ANOVA)
Chapter 14 – Analysis of Variance (ANOVA)

Nonparametric Methods
Nonparametric Methods

5. Special Properties of Normal Samples
5. Special Properties of Normal Samples

Confidence Intervals Act 2 Using Technology to Create a Sampling
Confidence Intervals Act 2 Using Technology to Create a Sampling

8 Independent and Dependent t
8 Independent and Dependent t

... size of tobt. Note: Increasing treatment effect always increases tobt ; Increasing sampling error always decreases tobt. a. ...
Statistical Inference
Statistical Inference

Title: STATISTICS AND PROBABILITY Grade Level(s): 11th -12th
Title: STATISTICS AND PROBABILITY Grade Level(s): 11th -12th

The Central Limit Theorem
The Central Limit Theorem

Chapter 9 Input Modeling
Chapter 9 Input Modeling

< 1 ... 165 166 167 168 169 170 171 172 173 ... 229 >

Resampling (statistics)

In statistics, resampling is any of a variety of methods for doing one of the following: Estimating the precision of sample statistics (medians, variances, percentiles) by using subsets of available data (jackknifing) or drawing randomly with replacement from a set of data points (bootstrapping) Exchanging labels on data points when performing significance tests (permutation tests, also called exact tests, randomization tests, or re-randomization tests) Validating models by using random subsets (bootstrapping, cross validation)Common resampling techniques include bootstrapping, jackknifing and permutation tests.
  • studyres.com © 2025
  • DMCA
  • Privacy
  • Terms
  • Report