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Results for the terms "STAT":
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[ 1 ]
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About Graphing Data
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Learning object developed to help students understand the fundamental types of graphs required in many tasks and fields. |
11-Jul-2007 |
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| Keywords: *, graphs, frequency distribution, histogram, box plot, scatter plot, pie chart, line graph, bar graph, pictogram, creating graphs, graphing mistakes, stem-and-leaf plot, |
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[ 2 ]
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About z-scores
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Helps students understand z-scores. The student will learn why they are used, and how to calculate z-scores from raw scores. |
19-Jul-2007 |
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| Keywords: *, z-scores, raw scores, standardization, |
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[ 3 ]
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About Measures of Central Tendency
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Helps students understand concepts related to measures of central tendency. Students will learn how to find the mean, median and mode and which measures can be used for different types of variables. |
26-Jul-2007 |
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| Keywords: *, measures of central tendency, mean, mode, median, |
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[ 4 ]
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About t-tests
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Students will learn about the different types of t-tests, how to calculate them, and when to use each. |
2-Aug-2007 |
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| Keywords: *, t-tests, single-sample, independent-samples, paired samples, repeated-measures, matched-participants, |
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[ 5 ]
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About Hypothesis Testing
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Students will learn about the purpose of hypothesis testing as well as the steps involved in conducting a hypothesis test. Students will also learn about directional testing and the errors that can be made in hypothesis testing. |
7-Aug-2007 |
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| Keywords: *, hypothesis testing, null hypothesis, alternate hypothesis, Type I error, Type II error, two-tailed test, one-tailed test, |
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[ 6 ]
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About Distributions
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Students will learn about the characteristics of normal and skewed distributions. This learning object also touches on the central limit theorem and the empirical rule. |
8-Aug-2007 |
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| Keywords: *, distributions, normal distribution, bell-shaped, positively skewed distribution, negatively skewed distribution, skewed distribution, central limit theorem, emirical rule, |
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[ 7 ]
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About Bivariate Correlation and Linear Regression
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Students will learn about the features and types of bivariate correlations. Students will also learn about linear regression and will have the opportunity to practice calculating both correlations and regressions. This learning object also touches on the differences between Pearson's r and Spearman's rho. |
10-Aug-2007 |
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| Keywords: *, bivariate correlation, linear regression, regression line, regression equation, Pearson, Spearman, correlation coefficient, coefficient of determination, *, |
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[ 8 ]
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About Graphing Quadratics
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Learning object developed to help students understand the fundamental types of quadratics or conic sections. As well as being able to identify critical points, characteristics, and changing between standard and general forms of each. |
10-Aug-2007 |
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| Keywords: *, graphing, graph, quadratics, conic, conic section, circle, ellipse, parabola, hyperbola, general form, standard form, focus, directrix, eccentricity, vertex, major axis, minor axis, |
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[ 9 ]
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About Chi Squares
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This learning object gives an introduction to the non-parametric test, chi squares. Students will learn about the different types of Chi squares and when to use each, as well as how to use a Chi Square in hypothesis testing and how to conduct post hoc tests. |
14-Aug-2007 |
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| Keywords: *, chi square, goodness of fit test, test of independence, contingency table, post hoc testing, hypothesis testing, non-parametric test, |
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[ 10 ]
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About Single Factor ANOVA
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Students will learn about the characteristics of a single factor ANOVA, or one way ANOVA and how it is calculated. Students will learn about conducting post hoc tests and how to choose the appropriate post hoc. Students will also have the opportunity to practice these techniques through examples and quizzes. |
17-Aug-2007 |
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| Keywords: *, Analysis of Variance, ANOVA, single factor ANOVA, one way ANOVA, between groups, within groups, variance, mean square, Tukeys Honestly Significant Differences (HSD), Fishers protected t test, *, |
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[ 11 ]
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About CRF
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Students will learn about the characteristics of completely randomized factorials (CRF). Students will learn how to use the CRF with hypothesis testing and how to conduct post hoc tests. |
22-Aug-2007 |
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| Keywords: *, completely randomized factorial, ANOVA, hypothesis testing, post hoc testing, Tukeys, main effect, interaction effect, |
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[ 12 ]
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About Quantitative Reasoning
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Students will learn about quantitative reasoning skills and the importance of critical thinking when examining statistics in everyday life. |
23-Aug-2007 |
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| Keywords: *, quantitative reasoning, statistical literacy, |
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[ 13 ]
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About Statistical versus Practical Significance
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Learning object designed to help students understand the differences between the statistical and practical significance of study results. |
6-May-2008 |
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| Keywords: *, statistical significance, practical significance, effect size, power, significance level, null hypothesis, alternative hypothesis, test statistic, P-value, |
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[ 14 ]
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About Multiple Regression
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Investigation of Multiple Regression, with some reference to Simple Linear Regression. |
7-May-2008 |
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| Keywords: *, Multiple Regression, Regression, ANOVA, |
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[ 15 ]
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About Sampling
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Learning object designed to give students an introduction to various sampling methods and considerations when choosing a sample size for research studies. |
8-May-2008 |
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| Keywords: *, sampling, sample size, probability sampling, nonprobability sampling, sampling frame, |
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[ 16 ]
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About Odds Ratios and Relative Risk
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This module focuses on the epidemiological principles of odds ratios and relative risk. |
8-May-2008 |
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| Keywords: *, relative risk, odds ratios, risk, epidemiology, incidence, prevalence, |
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[ 17 ]
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About Reading Scientific Studies
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Learning object designed to introduce students to the critical appraisal of scientific studies. |
9-May-2008 |
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| Keywords: *, critical appraisal, scientific study, study design, validity, reliability, statistical significance, practical significance, cross-sectional, longitudinal, case-series, case-control, trial, |
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[ 18 ]
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About Prevalence and Incidence
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This module touches on the concepts of prevalence and incidence, as they apply to epidemiology. |
12-May-2008 |
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| Keywords: *, prevalence, incidence, rate, epidemiology, |
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[ 19 ]
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About Graphs of Functions
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A module designed to teach and refresh students on fundamental concepts surrounding the use of graphs. |
27-May-2008 |
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| Keywords: *, graphs, odd function, even function, symmetric, polynomial function, defined function, rational function, |
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[ 20 ]
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About Validity and Reliability
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This module is meant to introduce the user to concepts surrounding validity and reliability. |
28-May-2008 |
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| Keywords: *, reliability, validity, |
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[ 21 ]
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About Variables
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This module encompasses fundamental concepts relating to variables, commonly seen in the social sciences. |
29-May-2008 |
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| Keywords: *, nominal, ordinal, interval, ratio, variable, categorical, measurement, |
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[ 22 ]
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About proportions
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Learning object is designed to introduce students to the concepts surrounding statistical proportions. Students will be introducted to inferences about proportions and how to compare more than one proportion. |
17-Jun-2008 |
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| Keywords: *, proportion, z-score, hypothesis test, confidence interval, Wilson estimate, |
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[ 23 ]
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About Type I and II Errors
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Learning object designed to help students understand the differences between the 2 most common errors in hypothesis testing: Type I and II Errors. Students will go through interactive examples to understand the need to prevent these errors from occurring in research. |
4-Jul-2008 |
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| Keywords: *, hypothesis test, Type I Error, Type II Error, power, significance, |
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[ 24 ]
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About Simpsons Paradox
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This module will interest the student to Simpsons Paradox and its causes. |
12-Dec-2008 |
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| Keywords: *, lurking variable, confounding variable, Simpsons Paradox, |
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