pdf

  • This applet generates dotplots for different data sets and allows users to guess the location of various measures of center and spread. Clicking "Resample" produces a dotplot of random data generated by the applet. A dotplot of user-input data can be generated by clicking "Edit Data" and typing or copy and pasting the data in the textbox. To guess the mean, median, standard deviation, and interquartile range (IQR) users check the "Guess Mean/Median", "Guess Deviation", or "Guess IQR" box and slide the relevant marker along the horizontal axis. When "Guess Deviation" is selected, users can also select "Show Percentages" to display the percentage of data points within the user's current guess for standard deviation. Clicking "Show Actual" displays the actual position of the selected measure on the dotplot. Clicking on an individual data point shows its value. Users can edit the data under "Edit Data" or by clicking and dragging the data points on the graph.
    View Resource
    0
    No votes yet
  • This page contains links to 5 review sheets with formulas, properties, definitions and rules for basic descriptive and inferential statistics and probability concepts. The review pages are in pdf format. Key Words: Hypothesis Testing, ANOVA, Descriptive Statistics, Regression, Correlation, Nonparametric Tests, Probability Distributions, Counting, Central Limit Theorem.
    View Resource
    0
    No votes yet
  • This textbook for medical statistics covers many topics such as: Data display and summary; Mean and standard deviation; Populations and samples; Statements of probability and confidence intervals; Differences between means: type I and type II errors and power; Differences between percentages and paired alternatives; The t tests; The chi-squared tests; Exact probabilty test; Rank score tests; Correlation and regression; Survival analysis; Study design and choosing a statistical test.
    View Resource
    0
    No votes yet
  • This applet allows students to explore three methods for measuring "goodness of fit" of a linear model. Users can manipulate both the data and the regression line to see changes in the square error, the absolute error, and the shortest distance from the data point to the regression line.
    View Resource
    0
    No votes yet
  • This lesson poses a series of questions designed to challenge students' possible misconceptions of statistical inference and hypothesis testing. The lesson uses the statistical software, Fathom, and three datasets with information on the number of chips per canister distributed by a snack maker. The data can found at the relation address below.
    View Resource
    0
    No votes yet
  • It is a good morning exercise for a research scientist to discard a pet hypothesis every day before breakfast. It keeps him young. A quote of Austrian animal behaviorist Konrad Lorenz (1903 - 1989) in "On Aggression", (English translation: 1966, Harvest books) p. 12. Quote also found in "Statistically Speaking - a Dictionary of Quotations" compiled by Carl Gaither and Alma Cavazos-Gaither p. 119.
    View Resource
    0
    No votes yet
  • I don't see the logic of rejecting data just because they seem incredible. A quote of British Astronomer Sir Fred Hoyle (1915 - 2001) found in "Statistically Speaking - A Dictionary of Quotations" compiled by Carl Gaither and Alma Cavazos-Gaither (IOP publishing, 1996) p. 150.
    View Resource
    0
    No votes yet
  • The purpose of models is not to fit the data but to sharpen the questions. A quote of applied probabilist Samuel Karlin (1924 - 2007) from his Fisher memorial lecture April, 1983. The quote is found in "Statistically Speaking: a Dictionary of Quotations" compiled by Carl Gaither and Alma Cavazos-Gaither.
    View Resource
    0
    No votes yet

  • Descriptive Statistics are like Real Estate plus. They are all about location, location, location ... plus variation, variation, variation. quote from Dennis Pearl (1951 - )

    View Resource
    0
    No votes yet
  • Forecasting is very difficult, especially about the future. A quote of business economist Edgar R. Fiedler (1929 - 2003) found in "Across the Board", the magazine of The Conference Board, Inc. (June, 1977). The quote also appears in "Statistically Speaking: A dictionary of quotations" compiled by Carl Gaither and Alma Cavazos-Gaither.
    View Resource
    0
    No votes yet

Pages

register