• 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
Chapter 7 - FIU Faculty Websites
Chapter 7 - FIU Faculty Websites

Inference for Regression
Inference for Regression

Confidence Intervals
Confidence Intervals

... 8. The basic idea is that the critical score tells you how many "standard deviations" you have to extend out from the population mean  in order to pick up the fraction c of the sample means. The second term (  n or s / n ) tells you how big one standard deviation is for the sampling distribution o ...
document
document

MAT 220 Class Notes
MAT 220 Class Notes

... Restated. At least (1 − k12 ) observations lie in the interval (x − ks, x + ks). Example. A set of grades has x = 75, s = 6. Then (i) (k = 1): at least 0% of all grades lie in [69, 81] (ii) (k = 2): at least 75% of all grades lie in [63, 87] (iii) (k = 3): at least 88% of all grades lie in [57, 93] ...
Maximum subsets of (0,1] with no solutions to x
Maximum subsets of (0,1] with no solutions to x

Confidence Intervals for Information Retrieval Evaluation
Confidence Intervals for Information Retrieval Evaluation

Acid Rain
Acid Rain

... d) Use the results to complete the following:  We are __98___% confident that in the year 2000, the mean PH levels of rain in the area of Pierce County, Washington was between ___4.704_____ and ____4.917_____  With __98____% confidence we can say that in the year 2000, the mean PH level of rain in ...
A Wall Street Journal/NBC News poll asked 2013 adults
A Wall Street Journal/NBC News poll asked 2013 adults

Chapter 9
Chapter 9

... As for the normal distribution, we need tables for looking up values for the tdistribution. The shapes of the t-distributions are dependent on the degree of freedom; thus we cannot get away with a single table for all t-distributions as we did with the normal distribution. We really do appear to nee ...
ECN-00021/1
ECN-00021/1

ECP-00021/1
ECP-00021/1

... the known mix level at a 95 percent confidence level. It is determined for “fresh” samples only. Bias is not determined for “seasoned” samples, since the component concentration level was not determined independently of the test method. A statistically significant high bias of (+0.139 g/L) for K3Fe( ...
Part 3 Estimation
Part 3 Estimation

Reliability-based Load and Resistance Factor Rating Using Site
Reliability-based Load and Resistance Factor Rating Using Site

5-13 Figure 5-11. Variance formula of a proportion for surveys where
5-13 Figure 5-11. Variance formula of a proportion for surveys where

Class6 - NYU Stern School of Business
Class6 - NYU Stern School of Business

Respondent-Generated Intervals (RGI) For Recall in
Respondent-Generated Intervals (RGI) For Recall in

confidence interval
confidence interval

Chapter 10 HW Solutions - Greater Latrobe School District
Chapter 10 HW Solutions - Greater Latrobe School District

Appendix-B2 - Real Statistical
Appendix-B2 - Real Statistical

Full text
Full text

Answers - UTSC - University of Toronto
Answers - UTSC - University of Toronto

Chapter 8
Chapter 8

Chapter 13. Binomial Distributions
Chapter 13. Binomial Distributions

Procedure - Web4students
Procedure - Web4students

< 1 ... 11 12 13 14 15 16 17 18 19 ... 101 >

German tank problem



In the statistical theory of estimation, the problem of estimating the maximum of a discrete uniform distribution from sampling without replacement is known in English as the German tank problem, due to its application in World War II to the estimation of the number of German tanks.The analyses illustrate the difference between frequentist inference and Bayesian inference.Estimating the population maximum based on a single sample yields divergent results, while the estimation based on multiple samples is an instructive practical estimation question whose answer is simple but not obvious.
  • studyres.com © 2025
  • DMCA
  • Privacy
  • Terms
  • Report