• 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
3 Variances and covariances
3 Variances and covariances

Connecting Students to College Success - AP Central
Connecting Students to College Success - AP Central

What Is Statistics? STATISTICAL METHODS I
What Is Statistics? STATISTICAL METHODS I

Statistical inference
Statistical inference

... 100%, or a census. • In practice, we use samples that are only a tiny fraction of the population for reasons of cost, time and because they are adequate for the purpose. • How close the estimates are to the population parameters will depend upon the size of the sample, the sample design (e.g. strati ...
Hypothesis Testing
Hypothesis Testing

... that result from this decision making process. We call the mistake of rejecting H0 when H0 is true a Type I error. The probability of making a Type I error is the significance level, α. We call the mistake of not rejecting H0 when H1 is true a Type II error. Two facets of hypothesis tests are notewo ...
Probability and non
Probability and non

9 - University of Idaho
9 - University of Idaho

Lecture notes on random variables.
Lecture notes on random variables.

Chapter 4
Chapter 4

stat11t_Chapter4
stat11t_Chapter4

stat11t_Chapter4
stat11t_Chapter4

Monte Carlo Integration in Bayesian Estimation
Monte Carlo Integration in Bayesian Estimation

Fundamentals of Mathematical Statistics
Fundamentals of Mathematical Statistics

New Perspectives on Statistical Decisions under Ambiguity
New Perspectives on Statistical Decisions under Ambiguity

Chapter 3
Chapter 3

Introduction and Chapter 1 of the textbook
Introduction and Chapter 1 of the textbook

Examensarbete The Maximum Minimum Parents and Children Algorithm Mikael Petersson
Examensarbete The Maximum Minimum Parents and Children Algorithm Mikael Petersson

Chapter 4 Active Learning Questions
Chapter 4 Active Learning Questions

Hypothesis Testing and Confidence Intervals for Two Populations
Hypothesis Testing and Confidence Intervals for Two Populations

chapter_4_powerpoint
chapter_4_powerpoint

Hashing with real numbers and their big-data applications Chapter 4
Hashing with real numbers and their big-data applications Chapter 4

Building a RAPPOR with the Unknown
Building a RAPPOR with the Unknown

EMTH210 Engineering Mathematics Elements of probability and
EMTH210 Engineering Mathematics Elements of probability and

One-way ANOVA - USU Math/Stat
One-way ANOVA - USU Math/Stat

Chapter 1: Stats Starts Here (p. 2) Why am I here? –
Chapter 1: Stats Starts Here (p. 2) Why am I here? –

< 1 ... 54 55 56 57 58 59 60 61 62 ... 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