Search Results for Confidence intervals.

Understanding the new statistics : effect sizes, confidence intervals, and meta-analysis / Cumming

; Confidence Intervals ; Sample Size ; Probability Sampling ; Simple Random Sampling ; Systematic Random

confidence intervals -- Sampling in practice -- Sampling and generalizability: a summary -- Exercises

based on a single sample: estimation with confidence intervals -- 7. Inferences based on a single sample

intervals -- Two-independent-sample T test with confidence intervals -- Related samples t-test with

Type I and Type II Errors -- Confidence Intervals -- Review of Key Concepts: Strength of the Effect

-- Clinical or Practical Significance: Using Confidence Intervals -- Establishing Clinical or Practical

statistical inference -- Basics of hypothesis testing -- Basics of confidence intervals -- Inference about a

models -- 5. Inferential statistics: confidence intervals, hypothesis testing, and sampling -- 6

-- Using a sample mean or proportion to talk about a population : confidence intervals -- Using multiple

of central tendency and dispersion -- The theoretical basis of sampling -- Confidence intervals and

Estimators -- B.2.1.Confidence Intervals and Confidence Regions -- B.2.2.Nonparametric Prediction Interval

Intervals -- Factors That Influence Reliability -- Test Length -- Homogeneity -- Test-Retest Interval

Intervals -- 4.2.1.Confidence Intervals for Difference in Means -- 4.2.2.Confidence Interval for Difference

.Asymptotic confidence intervals -- 5.8.Asymptotically normal consistency of the MLE, Wald's confidence

-- 8.4.5.Confidence Intervals about Parameter Estimates -- 8.4.6.Two-Tailed Hypothesis Tests^^^^

characteristic functions -- Central limit theorem -- Asymptotic confidence intervals -- Berry-Esseen's theorem

.Interpreting errors -- 9.6.4.Error inspection -- 9.7.Confidence intervals -- 9.7.1.Population and sample

Fundamental Concepts -- 6. Confidence Intervals -- 7. Hypothesis Testing with a Single Sample Mean -- 8

distributions -- Sampling methods and the central limit theorem -- Estimation and confidence intervals -- One

-Difference Effect Sizes When There Are Outliers -- Confidence Intervals for Standardized-Difference Effect Sizes

. Estimating Measures of Location and Scale 4. Confidence Intervals in the One-Sample Case 5. Comparing Two

-Sample Hypothesis Test: Within Subject Controls -- One-Sample Confidence Intervals for the Mean -- Planning a One

Interval for the Population Mean -- 4.3.1.Known Variance -- 4.3.2.Confidence Intervals When σ Is Not Known

poststratification weights -- Item nonresponse and multiple imputation -- 8.2.4.Uses of standard errors -- Confidence

.Create a bar plot with error bars -- 4.9.Create a plot with estimates and confidence intervals -- 4.10

-- Confidence intervals for proportions -- Confidence intervals for the difference between two proportions

-- Distributions -- Statistical Significance -- Criticisms of NHST -- Generating Confidence Intervals in SPSS

-- Basic probability -- Probability distributions -- Introduction to sampling distributions -- Confidence

), August, 319--50 / Joel L. Horowitz -- 23.`Confidence Intervals to Bound the Value of Time

calculating pooled odds ratios; Appendix 7. Formulae for calculating confidence intervals for common

confidence intervals, hypothesis tests, and estimation. With an array of exercises and experiments in each

: Error, Confidence, and Parameter Estimates -- What is Confidence? -- Refining Error and Confidence

Comparisons -- 6.5.7.Comments -- 6.5.8.Confidence Intervals -- 6.6.Random Models -- 6.7.Unequal Sample Sizes

/ Discriminant analysis / Effect sizes and confidence intervals / Factor analysis : Exploratory and confirmatory

distributions : confidence intervals -- Using sampling distributions : hypothesis tests -- The subtle logic of

-- Statistics that test confidence : Confidence intervals ; P values -- Statistics that test differences : t

treatment effects -- Understanding P-values and confidence intervals -- Challenges for evidence

Intervals, Correlation -- 13. Data Analysis and Interpretation: Part II. Tests of Statistical Significance

: CONCLUSIONS WITH CONFIDENCE -- 10. Estimating with Confidence -- 10.1 Confidence Intervals: The Basics -- 10.2

intervals -- Harm -- The process of diagnosis -- Differential diagnosis -- Diagnostic tests -- Prognosis

intervals -- Advanced topics in the validity of therapy trials -- Hypothesis testing -- Advanced topics in

-- Significance Tests of a Mean 406 -- Confidence Intervals and Confidence Levels: Reporting Estimates of

and Sampling Distributions -- 7. Point Estimation -- 8. Confidence Intervals -- 9. Hypothesis Testing

Hoc Analyses Following ANOVA -- 39. Analysis of Variance (ANOVA) with Confidence Intervals -- 40. Chi

Confidence intervals.

proportions -- 6. What does "not significant" really mean? -- 7. Confidence intervals -- 8. How to test for

-- Evaluation -- App. 1. Confidence intervals.

interpret confidence intervals for effect sizes. Numerous research examples from a wide range of areas

-- Statistical inference. Confidence intervals. Significance testing. Non-parametric tests -- Relating variables

. Sampling and Allocation -- 5. Inference and Confidence Intervals -- 6. Hypothesis Testing: Two t Tests -- 7

Distribution of the Mean -- 9. Confidence Intervals -- 10. Hypothesis Testing -- 11. Comparison of Two Means

and Sampling Distributions. Ch. 5. Statistical Inference I: Confidence Intervals. Ch. 6. Statistical

Distribution -- 8. Maximum Likelihood for Log-Location-Scale Distributions -- 9. Bootstrap Confidence Intervals

Regression Coefficients B1 and B2 Confidence Interval for B2 Confidence Interval for B1 Confidence Interval

Pt. I. Confidence Intervals -- Pt. II. Comparing Groups with Confidence Intervals -- Pt. III

and sampling distributions -- Confidence intervals -- Hypothesis testing -- means and proportions