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Academic Earth

Academic Earth

French in Action Due to licensing agreements, online viewing of the videos for this resource is restricted to network connections in the United States and Canada. Orientation An introduction to French in Action: its creation, its components, and its functioning. How to work with the video programs and how to integrate them with the audio and print components. This is the only program in English; the others are entirely in French. Planning and Anticipating I Greeting and leave-taking; talking about health; expressing surprise; planning and anticipating; expressing decisiveness and indecisiveness. Planning and Anticipating II Greeting and leave-taking; talking about health; expressing surprise; planning and anticipating; expressing decisiveness and indecisiveness. Planning and Anticipating III Greeting and leave-taking; talking about health; expressing surprise; planning and anticipating; expressing decisiveness and indecisiveness. Getting Away I Referring to destination; levels of speech.

Khan Academy Free Online Course Materials | Courses Elementary Statistics Concepts In this introduction, we will briefly discuss those elementary statistical concepts that provide the necessary foundations for more specialized expertise in any area of statistical data analysis. The selected topics illustrate the basic assumptions of most statistical methods and/or have been demonstrated in research to be necessary components of our general understanding of the "quantitative nature" of reality (Nisbett, et al., 1987). We will focus mostly on the functional aspects of the concepts discussed and the presentation will be very short. What are Variables? Variables are things that we measure, control, or manipulate in research. Correlational vs. Most empirical research belongs clearly to one of these two general categories. Dependent vs. Independent variables are those that are manipulated whereas dependent variables are only measured or registered. Measurement Scales Nominal variables allow for only qualitative classification. Relations between Variables .005 or p

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