Estimation Principles

  • This resource discusses sample sizes and how they are chosen.
    0
    No votes yet
  • Song celebrates advantages of the mean (over the mode and median) and includes conceptual references such as BLUE and MAD. May be sung to the tune of "It Had To Be You" (Gus Hahn and Isham Jones). Musical accompaniment realization and vocals are by Joshua Lintz from University of Texas at El Paso.

    0
    No votes yet
  • Song encourages critical thinking about how surveys are conducted and presented in the media. Published at www.tomsnyder.com/products/productextras/SCISCI/statisticslyrics.html
    0
    No votes yet
  • This website provides the URL of a Java applet and steps for using it. Here, students can manipulate the size of the circle and the rectangle to explore the probability that a point in the rectangle is also in the circle.
    0
    No votes yet
  • This Java applet demonstrates confidence intervals for the mean. It allows the user to alter sample size, samples taken, intervals, and the option of standard error. The applet displays sample values, such as average, standard deviation, and percent covered.

    0
    No votes yet
  • This article describes a dataset containing information on 308 diamond stones, which is useful when studying concepts in multiple linear regression analysis. Key Words: Categorical variables; Data transformation; Standardized residuals.
    0
    No votes yet
  • This PowerPoint presentation dicusses general concepts of confidence intervals and interprets confidence intervals for a mean, difference in two means, and the relative risk. The original presenation is available for download.
    0
    No votes yet
  • This PowerPoint lecture presenation explains confidence intervals for a mean when using a small sample. It discusses the t-distribution, compares the t-statistic to the z-statistic, and provides an example of a small sample confidence interval. The original presentation is available for download.
    0
    No votes yet
  • This collection of calculators allows users to perform a number of statistical applications. Each provides background on the procedure and an example. Users can compute Descriptive Statistics and perform t-tests, Chi-square tests, Kolmogorov-Smirnov tests, Fisher's Exact Test, contingency tables, ANOVA, and regression.

    0
    No votes yet
  • This general, introductory tutorial on mathematical modeling (in pdf format) is intended to provide an introduction to the correct analysis of data. It addresses, in an elementary way, those ideas that are important to the effort of distinguishing information from error. This distinction constitutes the central theme of the material described herein. Both deterministic modeling (univariate regression) as well as the (stochastic) modeling of random variables are considered, with emphasis on the latter. No attempt is made to cover every topic of relevance. Instead, attention is focussed on elucidating and illustrating core concepts as they apply to empirical data.

    0
    No votes yet

Pages