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Chapter 7
Chapter 7

Chapter 7 les5e_ppt_07
Chapter 7 les5e_ppt_07

Adjusted Confidence Interval for the Population Median of the
Adjusted Confidence Interval for the Population Median of the

Chapter 6 The Sum of Ranks Test
Chapter 6 The Sum of Ranks Test

... the Skeptic is correct then the two sets of data in the clone-enhanced study will be identical, which implies that ρ1 = ρ2 . Although I won’t give you details (and, thus, don’t worry about it) it is possible for the Skeptic to be incorrect and yet ρ1 = ρ2 . For the clone-enhanced data in Table 6.3 w ...
Chapter 21: What is a Confidence Interval?
Chapter 21: What is a Confidence Interval?

Review of Part VI – Learning About the World
Review of Part VI – Learning About the World

sampling methods - Dr. ES Jeevanand
sampling methods - Dr. ES Jeevanand

Chapter 7: Confidence Interval and Sample Size Learning Objectives
Chapter 7: Confidence Interval and Sample Size Learning Objectives

Chapter 6: Confidence Intervals
Chapter 6: Confidence Intervals

Chapter 2-5. Basics of Power Analysis
Chapter 2-5. Basics of Power Analysis

Estimating the sample mean and standard deviation from the
Estimating the sample mean and standard deviation from the

... Background: In systematic reviews and meta-analysis, researchers often pool the results of the sample mean and standard deviation from a set of similar clinical trials. A number of the trials, however, reported the study using the median, the minimum and maximum values, and/or the first and third qu ...
Estimating the sample mean and standard deviation from the
Estimating the sample mean and standard deviation from the

Estimating the sample mean and standard deviation from the
Estimating the sample mean and standard deviation from the

Statistics: Informed Decisions Using Data, 4e (Sullivan)
Statistics: Informed Decisions Using Data, 4e (Sullivan)

... 4) A survey claims that 9 out of 10 doctors (i.e., 90%) recommend brand Z for their patients who have children. To test this claim against the alternative that the actual proportion of doctors who recommend brand Z is less than 90%, a random sample of 100 doctors results in 83 who indicate that the ...
Chapter 7: One-Sample Inference
Chapter 7: One-Sample Inference

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Multiple Comparisons

Confidence Interval for a Proportion
Confidence Interval for a Proportion

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Answers to Practice Problems

t Tests in Excel - Excel Master Series
t Tests in Excel - Excel Master Series

Univariate Data Cleaning
Univariate Data Cleaning

Chapter 9 Estimating the Value of a Parameter Chapter 9.1
Chapter 9 Estimating the Value of a Parameter Chapter 9.1

Lecture Slides for Elementary Statistics: Looking at the Big Picture
Lecture Slides for Elementary Statistics: Looking at the Big Picture

... Solution Method: Assume (temporarily) that population proportion is 0.10, find probability of sample proportion as high as 0.13. If it’s too improbable, we won’t believe population proportion is 0.10. ©2011 Brooks/Cole, Cengage Learning ...
On the Mathematical Foundations of Theoretical Statistics Author(s
On the Mathematical Foundations of Theoretical Statistics Author(s

§3.1 Introduction / Newton-Cotes / The Trapezium Rule
§3.1 Introduction / Newton-Cotes / The Trapezium Rule

Lab Objectives
Lab Objectives

< 1 ... 17 18 19 20 21 22 23 24 25 ... 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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