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predict y
predict y

Social Science Reasoning Using Statistics
Social Science Reasoning Using Statistics

6. Sampling and Estimation
6. Sampling and Estimation

A Unit 5 - Formulae
A Unit 5 - Formulae

... a) My number plus 6 gives an answer of 8. b) My number minus 3 gives an answer of 14. c) My number minus 0.5 gives an answer of 5. d) Four times my number gives an answer of 20. e) Half my number is 5. f) Twice my number plus 4 gives an answer of 10. g) My number plus 3 is then doubled to give an an ...
Statistical Inference
Statistical Inference

Confidence Intervals: Estimating a Population Mean, μ
Confidence Intervals: Estimating a Population Mean, μ

SBE10ch08
SBE10ch08

Lecture note
Lecture note

... 1-a confidence interval of the form p̂  .03 . • If the sample proportion does not equal .5, the actual W will be narrower than .03 with the n obtained by the formula below. ...
Midterm Examination and Answers -- October 22
Midterm Examination and Answers -- October 22

Section 8.1 Confidence Intervals: The Basics
Section 8.1 Confidence Intervals: The Basics

Chapter 9
Chapter 9

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Estimation Theory

... The margin of error for the estimate for µ , denoted by E , is the quantity that is subtracted _ ...
TMATYC - Statistics Test – 2011
TMATYC - Statistics Test – 2011

... If the slope of the regression line is negative, then the linear correlation coefficient is negative. IV. If we interchange all of the x- and y-values, then the value of r will change. A. I and II ...
File
File

11.5 ONFIDENCE INTERVALS FOR THE POPULATION MEAN
11.5 ONFIDENCE INTERVALS FOR THE POPULATION MEAN

Means and Variances of Random Variables
Means and Variances of Random Variables

Geology 399 - Quantitative Methods in Geosciences
Geology 399 - Quantitative Methods in Geosciences

252soln0
252soln0

... From the binomial table for n  12 and p  .5 , we find that Px  10   1  Px  9  1  .98071  .01929 . But note that the binomial distribution with p  .5 is symmetrical so that Px  10   Px  2 . Also remember that we stated in the previous paragraph that to get the significance level, ...
Objectives - bradthiessen.com
Objectives - bradthiessen.com

... Define the terms random, probability, and likelihood. Explain the difference between probability and likelihood Write out probability models (sample space and associated probabilities) for simple and compound experiments Explain and contrast the relative frequency, classical, and subjective approach ...
How Many Simulation Runs Are Required
How Many Simulation Runs Are Required

Interval Estimation
Interval Estimation

sample means
sample means

... 2. Probability Distribution: A graph, table, or formula that gives the probability for each value of a random variable. (Sec. 5-2) ...
1 Inference for the difference between two population means µ1 − µ2
1 Inference for the difference between two population means µ1 − µ2

Estimation with Confidence Intervals
Estimation with Confidence Intervals

1 Inference, probability and estimators
1 Inference, probability and estimators

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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.
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