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21.

Physical Changes and Conservation of Matter [electronic resource]

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In everyday life, observations that things disappear or appear seem to contradict one of the fundamental laws of nature: matter can be neither created nor destroyed. In this session, participants learn how the principles of the particle model are consistent with conservation of matter.
Online
2004
22.

The Particle Nature of Matter [electronic resource]: Solids, Liquids and Gases

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Participants learn how the particle model can be turned into a powerful tool for generating predictions about the behavior of matter under a wide range of conditions. This essential idea that links chemistry and physics, is given microscopic examination that reveals solids, liquids and gases are composed of tiny, discrete and constantly moving particles.
Online
2004
23.

Chemical Changes and Conservation of Matter [electronic resource]

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How can the particle model account for what happens when two clear liquids are mixed together and produce a milky-white solid? What happens when iron rusts? Where do the elements come from? In this session, participants extend the particle model by looking inside the particles, learn about some early chemical pioneers, and in the process discover how the law of conservation of matter applies even at the scale of atoms and molecules.
Online
2004
24.

Rising and Sinking [electronic resource]

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Participants generalize the model that has been developed about what rises and what sinks, using the idea of balance of forces.
Online
2004
25.

Heat and Temperature [electronic resource]

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Participants focus on the difference between heat and temperature, and examine how both are defined in terms of particles. The particle model is then used to explain a number of everyday phenomena, from why things expand when they are heated to the role that temperature plays in changes of state.
Online
2004
26.

Density and Pressure [electronic resource]

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Participants examine density, an essential property of matter. They also look at how particles of matter are in constant motion, which leads to a deeper understanding of fluid pressure. Lastly, the concepts of pressure and density are investigated to explain the macroscopic phenomenon of rising and sinking.
Online
2004
27.

Extending the Particle Model of Matter [electronic resource]

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Participants extend their understanding of the particle model to explain additional macroscopic phenomena, including the electrical properties of matter. Participants review the progression of ideas covered in the course and anticipate future developments in the understanding of matter.
Online
2004
28.

Inference for One Mean [electronic resource]

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Covers inference about the mean of a single distribution, with emphasis on paired samples. Also covers the "t" confidence interval and test.
Online
1989
29.

Experimental Design [electronic resource]

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Covers the advantages of planned data collection over anecdotal evidence or available data. Distinguishing between observational studies and experiment, it focuses on basic design principles including comparison, randomization and replication.
Online
1989
30.

Describing Relationships [electronic resource]

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Covers scatterplots and their variations, smoothing scatterplots of response versus explanatory variable by median trace, linear relationships, and least squares regression lines.
Online
1989
31.

Describing Distributions [electronic resource]

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Deals with numerical measures of specific aspects of distribution, such as center (mean, median), spread (percentiles, boxplots, standard deviation), and resistance.
Online
1989
32.

Correlation [electronic resource]

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Covers correlation and its properties and the relation between correlation and regression. Use the relationship between a baseball player's salary and his home run statistics, to show how to derive and interpret the correlation coefficient.
Online
1989
33.

Confidence Intervals [electronic resource]

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Deals with the reasoning behind confidence intervals, z-intervals for the mean of a normal distribution, and the behavior of confidence intervals. Examples are chosen from population surveys to demonstrate how margin of error and confidence levels are interpreted.
Online
1989
34.

Case Study [electronic resource]

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Presents a case study that illustrates the major aspects of statistical thinking, including planning data collection, analysis by graphs and informal inference, and additional data collection in response to partial success.
Online
1989
35.

Comparing Two Means [electronic resource]

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Deals with two-sample t confidence intervals and tests for comparing means.
Online
1989
36.

Blocking and Sampling [electronic resource]

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Covers further principles of design, including two or more factors and blocking. Topics include sample surveys, the danger of bias and random sampling.
Online
1989
37.

Binomial Distributions [electronic resource]

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Deals with the law of large numbers and presents additional rules for means and variances of random variables. Also covers binomial distributions for sample counts.
Online
1989
38.

Random Variables [electronic resource]

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Covers random variables, including the multiplication rule for independent events, discrete and continuous random variables, and the mean and variance of a random variable.
Online
1989
39.

The Question of Causation [electronic resource]

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Deals with the association between categorical variables displayed in a two-way table. Illustrates Simpson's paradox, the numerous relations among variables that underlie an observed association, and how evidence of causation is obtained. Examples siting the relationship between smoking and lung cancer are used.
Online
1989
40.

Picturing Distributions [electronic resource]

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Illustrates stemplots and histograms, demonstrating the importance of pattern deviations in examples drawn from meterology, traffic control and television programming.
Online
1989