• 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
summary
summary

Bayesian
Bayesian

min 23.4 = x in 36 = x
min 23.4 = x in 36 = x

... to get them to land in a hula-hoop target. They count the number of soldiers that succeed and the number of drops total. In a report analyzing their data, they write the following: “We constructed a 95% confidence interval estimate of the proportion of jumps in which the soldier landed in the target ...
Hey People—It`s Not Math—It`s STATISTICS!
Hey People—It`s Not Math—It`s STATISTICS!

1 - Academic Information System (KFUPM AISYS)
1 - Academic Information System (KFUPM AISYS)

Sample Final Exam
Sample Final Exam

... course. The following table gives the week sales of these salespersons before and after they attended this course. Before 12 18 25 9 14 16 After 18 24 24 14 19 20 Using the 1% significance level, can you conclude that the mean weekly sales for all salespersons increase as a result of attending this ...
CHAPTER 7 Estimates, Sample Sizes, and Confidence Intervals
CHAPTER 7 Estimates, Sample Sizes, and Confidence Intervals

estimate
estimate

...  An unbiased estimator is efficient if no other unbiased estimator of the particular population parameter has a lower sampling distribution variance.  If ˆ1 and ˆ2 are two unbiased estimators of the population parameter , then ˆ1 is more efficient than ˆ2 if ...
CHAPTER 9 TESTS OF HYPOTHESES: LARGE SAMPLES
CHAPTER 9 TESTS OF HYPOTHESES: LARGE SAMPLES

LESSON 18: CONFIDENCE INTERVAL ESTIMATION ESTIMATION
LESSON 18: CONFIDENCE INTERVAL ESTIMATION ESTIMATION

Lecture_18_ch10_222_w05_s1234
Lecture_18_ch10_222_w05_s1234

Fall 2009
Fall 2009

Quiz 2
Quiz 2

8.7 (cd-rom topic) estimation and sample size determination for finite
8.7 (cd-rom topic) estimation and sample size determination for finite

Review of Probability and Statistics
Review of Probability and Statistics

Simple linear regression
Simple linear regression

... 4. The time between eruptions of Old Faithful geyser in Yellowstone National Park is random but is related to the duration of the last eruption. The table in the exercise shows these times for 21 consecutive eruptions. a. Make a scatter plot of the data. Does it appear to be approximately linear? Yo ...
Lecture 1 - Introduction and the Empirical CDF
Lecture 1 - Introduction and the Empirical CDF

sampling distributions - Colorado Mesa University
sampling distributions - Colorado Mesa University

Extra Memory
Extra Memory

P-value - Department of Statistics and Probability
P-value - Department of Statistics and Probability

... – MODEL WITH n – 1 DEGREES OF FREEDOM THAT CORRESPONDS TO C% CONFIDENCE LEVEL. ...
Differences-in-Differences and A (Very) Brief Introduction
Differences-in-Differences and A (Very) Brief Introduction

PRACTICE TEST #4 – FULL ANALYSIS  Topics to Know Explanation
PRACTICE TEST #4 – FULL ANALYSIS Topics to Know Explanation

251solnN1
251solnN1

Topic 2: Distributions, hypothesis testing, and sample size
Topic 2: Distributions, hypothesis testing, and sample size

FinalF2010MA200_A
FinalF2010MA200_A

< 1 ... 60 61 62 63 64 65 66 67 68 ... 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