• 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
9 Data Analysis
9 Data Analysis

Chapter03
Chapter03

Chapter 10* - Data handling and presentation
Chapter 10* - Data handling and presentation

Chapter 9 PowerPoint
Chapter 9 PowerPoint

... • Keep in mind that this formula will only work when we are estimating ABILITY with a single proportion (think categorical variables: Ch 2). • It will not work for estimating ABILITY that is measured by a mean or even a difference in proportions. • Also, for the formula you must use the proportion ...
z-SCORES - westga.edu
z-SCORES - westga.edu

Estimating the Variance of an Estimate`s Probability Distribution
Estimating the Variance of an Estimate`s Probability Distribution

Document
Document

Ch 3 - Hopewell Area School District
Ch 3 - Hopewell Area School District

Guidelines for computing summary statistics for data
Guidelines for computing summary statistics for data

Estimation of Arithmetic Permeability from a Semi
Estimation of Arithmetic Permeability from a Semi

The reform of SONIA - A supplementary
The reform of SONIA - A supplementary

High-Dimensional Classification Methods for
High-Dimensional Classification Methods for

THE COMPARISON OF TWO POPULATIONS
THE COMPARISON OF TWO POPULATIONS

Chapter 4
Chapter 4

... distribution. The mean length was 28 days, the median 25 days and the modal length 23 days. The standard deviation was computed to be 4.2 days. What is the Pearson's coefficient of skewness? ...
Statistics Workshop Introduction to statistics using R Tarik C. Gouhier June 17, 2013
Statistics Workshop Introduction to statistics using R Tarik C. Gouhier June 17, 2013

... The Central Limit Theorem The sum or mean of a set of independent random variables drawn from the same statistical population (i.e., identically and independently distributed) will be normally distributed regardless of their parent distribution ...
ppt3a
ppt3a

jaminan kewangan ketika anda memerlukan
jaminan kewangan ketika anda memerlukan

... • An excess of volume used as compared to theory will result in the change of colours. Example, mistakes made in determining end point caused by coprecipitation. ...
AP Statistics Lesson Plans 2016-2017
AP Statistics Lesson Plans 2016-2017

Contents - University of Regina
Contents - University of Regina

... the corresponding grade for A. For example the second highest grade for A is 76%, about 3 points above the mean, while for Student B the second highest grade is 79%, about 6 points above the mean. The various measures of variation or variability discussed in the following sections will provide summa ...
Spract5
Spract5

... your decision rule in terms of z for rejecting a null hypothesis that the population mean is 500? In this case, each tail must contain 5%, so we look in the middle of the z-table for a value near 0.45, and we find that it corresponds to approximately 1.645 standard deviations from the mean. You can ...
INFERENCE: TWO POPULATIONS
INFERENCE: TWO POPULATIONS

INFERENCE: TWO POPULATIONS
INFERENCE: TWO POPULATIONS

... Reject H0 if z > 2.33 5. Determine whether to reject H0. Because z = 6.49 > 2.33, we reject H0. The sample evidence indicates the mean driving distance of Par, Inc. golf balls is greater than the mean driving distance of Rap, Ltd. golf balls. © 2014 Cengage Learning. All Rights Reserved. May not be ...
Displaying and Describing Quantitative Data
Displaying and Describing Quantitative Data

Module B7 Probability and statistics B3
Module B7 Probability and statistics B3

Introduction to Statistics, Lecture 5
Introduction to Statistics, Lecture 5

< 1 ... 4 5 6 7 8 9 10 11 12 ... 382 >

Bootstrapping (statistics)



In statistics, bootstrapping can refer to any test or metric that relies on random sampling with replacement. Bootstrapping allows assigning measures of accuracy (defined in terms of bias, variance, confidence intervals, prediction error or some other such measure) to sample estimates. This technique allows estimation of the sampling distribution of almost any statistic using random sampling methods. Generally, it falls in the broader class of resampling methods.Bootstrapping is the practice of estimating properties of an estimator (such as its variance) by measuring those properties when sampling from an approximating distribution. One standard choice for an approximating distribution is the empirical distribution function of the observed data. In the case where a set of observations can be assumed to be from an independent and identically distributed population, this can be implemented by constructing a number of resamples with replacement, of the observed dataset (and of equal size to the observed dataset).It may also be used for constructing hypothesis tests. It is often used as an alternative to statistical inference based on the assumption of a parametric model when that assumption is in doubt, or where parametric inference is impossible or requires complicated formulas for the calculation of standard errors.
  • studyres.com © 2025
  • DMCA
  • Privacy
  • Terms
  • Report