• 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
Finding the mean & Standard Deviation
Finding the mean & Standard Deviation

Introduction to Probability Theory and Mathematical Statistics
Introduction to Probability Theory and Mathematical Statistics

... possible outcomes of experiment X are {0, 1, 2, 3, 4, 5, 6, 7, 8}. X then represent one experiment. We can express this idea more succinctly as X ∈ {0, 1, 2, 3, 4, 5, 6, 7, 8}. Sometimes we may wish to repeat an experiment a few times. Suppose we replicate this experiment (of 8 tosses of the coin) n ...
Combining Analysis Results from Multiply Imputed Categorical Data
Combining Analysis Results from Multiply Imputed Categorical Data

... earlier versions of SAS, there is a way to deal with non-monotone categorical missing data, namely by using Markov Chain Monte Carlo (MCMC) method for partial imputation of non-monotone missing records while treating categorical variables as if they were continuous and modeling them with a multivari ...
CHAPTER 13 Calculator Notes for the TI-83 and TI
CHAPTER 13 Calculator Notes for the TI-83 and TI

... c. To create a left-skewed distribution, use the cube root of rand(. This example creates a left-skewed population of 200 values between 20 and 50. ...
Lecture_04_ch2_222_w05_s34
Lecture_04_ch2_222_w05_s34

... • Why there are three similar terms? – In the above example, variance has unit inch2 – But, standard deviation has unit inch - the unit of the original data. So, standard deviation may sometimes be preferred over variance. – Coefficient of variation is dimension less. Hence, coefficient of variation ...
Reject H 0
Reject H 0

sequential probability-based latin hypercube designs without
sequential probability-based latin hypercube designs without

... one another is called a network. For example, in Figure 2(b), the four bullet points in the middle form a network of size four. APLHD is intuitive and works well in general, but design points may be sampled more than once. Then, the final number of distinct networks selected is random, and the size o ...
Statistical Inference: Maximum Likelihood Estimation ∗ Contents
Statistical Inference: Maximum Likelihood Estimation ∗ Contents

Univariate Data Cleaning
Univariate Data Cleaning

Correlation - alwakrassoteam
Correlation - alwakrassoteam

... Mathematicians have devised a procedure to determine if the difference is "real." The procedure is called statistical significance and it is based on the laws of probability. Statistical significance determines if the differences between two numbers is bigger or smaller than the differences that mig ...
Continuous-time Coalescent - UNC Computational Genetics
Continuous-time Coalescent - UNC Computational Genetics

Statistics
Statistics

10 C 7
10 C 7

... If you had performed a two-sided test using the same sample (H0: median = 115 versus H1 median ≠ 115), there would be 12 observations below 115 and 17 above. Since you would be performing a twosided test, you would look at the number of observations below and above 115, and take the larger of these, ...
sample mean
sample mean

How Odd Learning Task
How Odd Learning Task

Act-SV_Loop4-Cents and the Central Limit Theorem
Act-SV_Loop4-Cents and the Central Limit Theorem

Sample Statistics - University of Richmond
Sample Statistics - University of Richmond

... A population is a collection of all possible observations from an experiment. These observations are generated according to some probability distribution. The probability distribution also determines the frequency distribution of the values in the population, as shown in figure 2.2. Population parame ...
File
File

... unlikely to occur. The number z/2 is a critical value that is a z score with the property that it separates an area of /2 in the right tail of the standard normal distribution. ...
Chapter 11: Inference on Two Samples
Chapter 11: Inference on Two Samples

chapter 2 - Test Bank 1
chapter 2 - Test Bank 1

Probability - Pearson Schools and FE Colleges
Probability - Pearson Schools and FE Colleges

Chapter 21: More About Tests
Chapter 21: More About Tests

Section 1-3
Section 1-3

Chapter 5
Chapter 5

Lecture Notes 9
Lecture Notes 9

< 1 ... 140 141 142 143 144 145 146 147 148 ... 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