ActivStats is innovative, multimedia statistics courseware that helps students master and apply introductory statistics. Using video, sound, and other elements, ActivStats presents statistical concepts in a clear and memorable way, then gives students the opportunity to explore those concepts immediately with interactive experiments and simulations. The concepts are reinforced with activities that teach how to use SPSS (R), and then send the student to SPSS (R) to practice what they learned. SPSS is sold separately. ActivStats offers flexibility and encourages independence. Instructors can add activities to any page and rearrange the order of lessons to match one of over a dozen of the most popular textbooks.
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für höhere Schule und Studium
Illustrationen
Maße
Höhe: 218 mm
Breite: 154 mm
Dicke: 16 mm
Gewicht
ISBN-13
978-0-201-78246-2 (9780201782462)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
ActivStats can automatically adjust the content order to match any major textbook. Here are two typical orders:
`Data Analysis Coverage Early' Order.
Data and Measurement.
The Distribution of one Variable.
Describing distributions with numbers.
Normal Distributions.
Understanding Relationships.
Comparing Groups.
Scatter Plots.
Correlation.
Least Squares Regression.
Generating Data.
Sample Surveys.
Designed Experiments.
Experience with Random Behavior.
Randomness.
Intuitive Probability.
Conditional Probability.
Random Variables.
Sampling Distributions.
Drawing Inferences.
Estimating with Confidence.
Confidence Intervals for a Mean.
Testing Hypothesis.
Tests for a Mean.
Additional Applications.
Comparing two Means.
Inference for Proportions.
Cross Tabulation and Chi Square.
Inference for Regression.
Multiple Regression.
Analysis of Variance.
Appendix A.
Reference.
`Probability Coverage Early' Order.
Introduction.
Understanding Data.
Data and Measurement.
Sample Surveys.
The Distribution of one Variable.
Describing Distributions with Numbers.
Understanding Relationships.
Comparing Groups.
Scatter Plots.
Designed Experiments.
Experience with Random Behavior.
Randomness.
Intuitive Probability.
Conditional Probability.
Normal Distributions.
Random Variables.
Sampling Distributions.
Drawing Inferences.
Estimating with Confidence.
Confidence Intervals for a Mean.
Testing Hypotheses.
Tests for a Mean.
Additional Applications.
Interference for Proportions.
Correlation.
Comparing Two Means.
Least Squares Regression.
Inference for Regression.
Multiple Regression.
Cross Tabulation and Chi-Square.
Analysis of Variance.
Appendix A.
Reference.
