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  • Montana State University
Analyzing Meteorological Data From Mars
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Students compare real-time Earth and Mars measurements for temperature, wind speed, humidity and atmospheric pressure by accessing Internet-data resources from NASA.

Subject:
Physical Science
Astronomy
Material Type:
Activity/Lab
Assessment
Lesson Plan
Provider:
Montana State University
Provider Set:
NASA/MSU Center for Educational Resources (CERES)
Date Added:
02/16/2011
Foundational Sight Singing
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CC BY-NC-SA
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Sight reading music can be a daunting endeavor for aspiring, and even experienced, musicians. Foundational Sight Singing was created to provide a systematic approach to learn to read, hear and perform music. The ordered presentation of both melodies and rhythms in this text helps students develop accuracy and fluency in sight singing which is a fundamental skill for all musicians. It is a text for developing proficiency in reading and sight singing that can be used in a variety of contexts from individual practice to choral or instrumental ensemble rehearsals to college ear training courses. Multiple exercises are provided for drilling and practice at each level throughout the text to grow the students’ fluency and proficiency in reading and performing pitch and rhythm. This text will help students build a solid foundation upon which they can establish mastery.

Subject:
Performing Arts
Material Type:
Interactive
Provider:
Montana State University
Author:
Tobin Stewart
Date Added:
01/20/2023
Intermediate Statistics with R
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CC BY-NC
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Introductory statistics courses prepare students to think statistically but cover relatively few statistical methods. Building on the basic statistical thinking emphasized in an introductory course, a second course in statistics at the undergraduate level can explore a large number of statistical methods. This text covers more advanced graphical summaries, One-Way ANOVA with pair-wise comparisons, Two-Way ANOVA, Chi-square testing, and simple and multiple linear regression models. Models with interactions are discussed in the Two-Way ANOVA and multiple linear regression setting with categorical explanatory variables. Randomization-based inferences are used to introduce new parametric distributions and to enhance understanding of what evidence against the null hypothesis “looks like”. Throughout, the use of the statistical software R via Rstudio is emphasized with all useful code and data sets provided within the text. This is Version 3.0 of the book.

Subject:
Statistics and Probability
Material Type:
Textbook
Provider:
Montana State University
Author:
Mark C. Greenwood
Date Added:
11/18/2021