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Chapter 21—Univariate Statistical Analysis TRUE/FALSE 1
Chapter 21—Univariate Statistical Analysis TRUE/FALSE 1

Comparing three or more groups (one-way ANOVA ...)
Comparing three or more groups (one-way ANOVA ...)

Sampling Distributions
Sampling Distributions

... survey or an experiment on a sample of their customers. Credit card companies make money on their cards in three ways: they earn a percentage of every transaction, they charge interest on balances that are not paid in full, and they collect fees (yearly fees, late fees, etc.). To generate all three ...
The TTEST Procedure
The TTEST Procedure

Chapter 6
Chapter 6

... The companion website for this book (http://www.cengage.com/statistics/utts4e) contains a wealth of resources. Experience has taught us that some students never discover the resources on the companion site! The following activities will get you acquainted with what’s on them. To access the student r ...
Univariate and Bivariate Tests
Univariate and Bivariate Tests

Statistical Significance and Univariate and Bivariate Tests
Statistical Significance and Univariate and Bivariate Tests

getting to know your book
getting to know your book

... Activity 2.7 One basic idea in Example 2.12 on pages 38-39 is that for almost all things we measure, there is a range of values that would be considered normal, but only one single number that is the average. In everyday language, the words “normal” and “average” are often confused. For instance, wh ...
Homework Activities
Homework Activities

Power point review
Power point review

Topic IV Menu
Topic IV Menu

AP STATISTICS EXAM REVIEW - Glen Ridge Public Schools
AP STATISTICS EXAM REVIEW - Glen Ridge Public Schools

Chap 5 - Estimation - Using Statistics for Better Business Decisions
Chap 5 - Estimation - Using Statistics for Better Business Decisions

9 A Estimation Using a Single Sample
9 A Estimation Using a Single Sample

Sample Size Planning Sample Size Planning with Effect Size
Sample Size Planning Sample Size Planning with Effect Size

... detect that minimum change may be inefficient and costly. All available information should be used in the study design process. The question that arises naturally is how to use that effect size estimate. As we will illustrate, naïvely using effect size estimates as their corresponding population par ...
comparing forecasts for house prices
comparing forecasts for house prices

... year. Kuo (1996) improved the Case-Shiller methodology for testing weak-form efficiency by jointly estimating the price index and the serial correlation parameters all within the context of the repeat sales model. Kuo assumed a second order autoregressive process to model the rate of change in the p ...
A review of spatial sampling
A review of spatial sampling

... representing the ‘‘here and now’’, whereas other objectives concern superpopulations that generate the populations. Data to be collected are usually spatially autocorrelated and heterogeneous, whereas sampling is usually not repeatable. In various senses it is distinct from the assumption of indepen ...
using a ti-83 or ti-84 series graphing calculator in an introductory
using a ti-83 or ti-84 series graphing calculator in an introductory

Adding (p-) Value to Tables - a Programmer's Perspective
Adding (p-) Value to Tables - a Programmer's Perspective

... SAS Programmers are often required to produce p-values for clinical report outputs. There are a variety of methods that can be utilised to produce one sample t-test, two sample t-tests and ANOVA. One sample t-tests can be produced using PROC TTEST, PROC UNIVARIATE or PROC MEANS. None of these proced ...
Sample Size Calculations
Sample Size Calculations

PPT - StatsTools
PPT - StatsTools

... open a coffee house for college students. The company wants to know if their customers will drink more coffee if the coffee house is decorated in a Paris motif or in a San Francisco motif, so the psychologist sets up two similar rooms with the two motifs. Eight students spend an afternoon in each ro ...
Survey Sampling
Survey Sampling

... Thus, the estimator is unbiased. Note that the mathematical definition of bias in (2.4) is not the same thing as the selection or measurement bias described in Chapter 1. All indicate a systematic deviation from the population value, but from different sources. Selection bias is due to the method of ...
Package `PairedData`
Package `PairedData`

Guide to using Minitab and Excel
Guide to using Minitab and Excel

Chapter 7 slides
Chapter 7 slides

< 1 2 3 4 5 6 7 8 ... 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.
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