• 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
A simple introduction to Markov Chain Monte–Carlo sampling
A simple introduction to Markov Chain Monte–Carlo sampling

a normal distribution
a normal distribution

Sample Final with Solutions
Sample Final with Solutions

... Sample questions for final exam The one-hour mid-term test had 28 questions with 21 multiple choice and 7 open questions including 3 'essay' questions. The final exam is a two-hour exam and will have approximately 40 multiple choice questions, 5 'essay' questions, 5 'easy' open questions (e.g. name ...
Elementary Probability Theory
Elementary Probability Theory

PA`s audit value should be compared to the
PA`s audit value should be compared to the

statistics - Cengage Learning Asia
statistics - Cengage Learning Asia

Limit theorems for beta-Jacobi ensembles
Limit theorems for beta-Jacobi ensembles

Effect Size Estimation: Why and How
Effect Size Estimation: Why and How

... who work in areas where the variables of interest are measured in meaningful units (such as grams, meters, dollars and Euros, etc.) think it foolish and deceptive to standardize effect size estimates. It think they are absolutely correct for the sort of data they deal with. If I tell you that my new ...
Probability and Random Variables Syllabus
Probability and Random Variables Syllabus

MATH 2B RECITATION 2/16/12 1. Testing Hypotheses Setup I
MATH 2B RECITATION 2/16/12 1. Testing Hypotheses Setup I

... I highly recommend the notes on the course website. Just like with estimators, we are going to try to figure something out about the parameters of a distribution just from observing the distribution. In this setup, we pick two hypotheses which completely fill the possible parameter space. In other w ...
Descriptive Statistics
Descriptive Statistics

Solutions to Homework 9
Solutions to Homework 9

Confidence Intervals
Confidence Intervals

Quiz 1 Spring 2009 Solutions
Quiz 1 Spring 2009 Solutions

... Solution: Y is defined as the number of additional tests Mina takes, so this is independent of the fact that she failed her first test. Y is a geometric RV with p = 1/2. Hence, E[Y ] = 1/p = 2. h. Consider two random variables X and Y , each taking values in {1, 2, 3}. Let their joint PMF be such that ...
SHORT ANSWER. Write the word or phrase that best
SHORT ANSWER. Write the word or phrase that best

Sampling Variation and Quality
Sampling Variation and Quality

PowerPoint - Marriott School
PowerPoint - Marriott School

Detecting Differentially Expressed Genes in Microarrays
Detecting Differentially Expressed Genes in Microarrays

PPT Lecture Notes - Personal Pages
PPT Lecture Notes - Personal Pages

Chapter 3 R Bootstrap Examples
Chapter 3 R Bootstrap Examples

Comparing Systems Using Sample Data Experimental Methodology
Comparing Systems Using Sample Data Experimental Methodology

... (category, e.g., male/female), then confidence interval is: k k  k2 / n  z1 / 2 n n • If interval includes 0.5, can’t say which outcome is statistically meaningful • Must have k  10 to get valid results ...
a monte carlo simulation of the impact of sample size and
a monte carlo simulation of the impact of sample size and

... individual errors of the check-points are averaged, then a mean translational error for the image can be estimated with a small dispersion around that mean. (Bethel, 2004) These assumptions and observations should not be applied to other types of sensors without additional analysis and validation. ...
Office of Research and EPAl6OO/R-961084 United States January 1998
Office of Research and EPAl6OO/R-961084 United States January 1998

... derive a linear relationship between two variables, so that linear regression analysis can be applied. They can also be used to efficiently estimate quantities such as the mean and variance of a lognormal distribution Transformations may also make the analysis of data easier by changing the scale in ...
Solutions to Homework 3
Solutions to Homework 3

Midterm 1
Midterm 1

... for this event for boys in secondary school is known to possess a normal distribution with a mean of 440 seconds and a standard deviation of 40 seconds. The fitness association wants to recognize. the fastest 10% of the boys with certificates of recognition. What time would the boys need to beat in ...
< 1 ... 182 183 184 185 186 187 188 189 190 ... 861 >

History of statistics

The History of statistics can be said to start around 1749 although, over time, there have been changes to the interpretation of the word statistics. In early times, the meaning was restricted to information about states. This was later extended to include all collections of information of all types, and later still it was extended to include the analysis and interpretation of such data. In modern terms, ""statistics"" means both sets of collected information, as in national accounts and temperature records, and analytical work which requires statistical inference.Statistical activities are often associated with models expressed using probabilities, and require probability theory for them to be put on a firm theoretical basis: see History of probability.A number of statistical concepts have had an important impact on a wide range of sciences. These include the design of experiments and approaches to statistical inference such as Bayesian inference, each of which can be considered to have their own sequence in the development of the ideas underlying modern statistics.
  • studyres.com © 2025
  • DMCA
  • Privacy
  • Terms
  • Report