Students first discover what they want from their education, then build a plan to get there. This content takes students through the steps to successfully navigate their journey in higher education. Topics include planning for success, choosing a career path, setting and attaining goals, understanding financial management, developing critical thinking skills, making healthy choices, using effective communication, managing time, developing learning strategies, developing meaningful relationships. Content is available in PDF and Open Document formats and is licensed CC BY. Learning Objectives also are provided. Full course offering available at https://www.cengage.com/c/opennow-college-success-1e-opennow-cengage

Students first discover what they want from their education, then build a plan to get there. This content takes students through the steps to successfully navigate their journey in higher education. Topics include planning for success, choosing a career path, setting and attaining goals, understanding financial management, developing critical thinking skills, making healthy choices, using effective communication, managing time, developing learning strategies, developing meaningful relationships. Content is available in PDF and Open Document formats and is licensed CC BY. Learning Objectives also are provided. Full course offering available at https://www.cengage.com/c/opennow-college-success-1e-opennow-cengage

Students first discover what they want from their education, then build a plan to get there. This content takes students through the steps to successfully navigate their journey in higher education. Topics include planning for success, choosing a career path, setting and attaining goals, understanding financial management, developing critical thinking skills, making healthy choices, using effective communication, managing time, developing learning strategies, developing meaningful relationships. Content is available in PDF and Open Document formats and is licensed CC BY. Learning Objectives also are provided.

Living in a big city like New York can be very challenging. City planning is an interdisciplinary enterprise where social scientists, humanists, psychologists, scientists, statisticians, citizens, politicians, etc. come together to offer solutions to improve quality of life in the city. To find such solutions, these people need clear and reliable (qualitative and quantitative) information about specific challenges that residents and visitors face For the variety of stakeholders in the city, many different things might be considered worthy of study, depending on their interests and needs regarding, e.g., employment, financial status, family size, healthcare, mobility, and education.
For example, do you know whether your neighborhood issufficiently protected from a fire? What about other neighborhoods in the city? To what extent does a CUNY degree help a person gain employment in the City? In which ways do race or gender or sexual preference play a role in how people experience city life? Can these be quantified in dollar terms? Once you have identified a problem, write an essay that describes a question
about city life that you believe is worthy of a statistical study.

Partial differential equations are paramount in mathematical modelling with applications in engineering and science. The book starts with a crash course on partial differential equations in order to familiarize the reader with fundamental properties such as existence, uniqueness and possibly existing maximum principles. The main topic of the book entails the description of classical numerical methods that are used to approximate the solution of partial differential equations. The focus is on discretization methods such as the finite difference, finite volume and finite element method. The manuscript also makes a short excursion to the solution of large sets of (non)linear algebraic equations that result after application of discretization method to partial differential equations. The book treats the construction of such discretization methods, as well as some error analysis, where it is noted that the error analysis for the finite element method is merely descriptive, rather than rigorous from a mathematical point of view. The last chapters focus on time integration issues for classical time-dependent partial differential equations. After reading the book, the reader should be able to derive finite element methods, to implement the methods and to judge whether the obtained approximations are consistent with the solution to the partial differential equations. The reader will also obtain these skills for the other classical discretization methods. Acquiring such fundamental knowledge will allow the reader to continue studying more advanced methods like meshfree methods, discontinuous Galerkin methods and spectral methods for the approximation of solutions to partial differential equations.

The following files accompany this module: 10_Exercises.xlsx

The following files accompany this module: 11_Examples.xlsx 11_Exercises.xlsx 11_GallupMarijuana.xlsx Student-t_tables.pdf Student-t_tables.xlsx z-values_AreaBetweenMean&X.pdf

This module is associated with Clear-Sighted Statistics: Module 13: Introduction to Null Hypothesis Significance Testing (NHST)

The following files accompany this module: z-Values_AreaBetweenMean&X.pdf z-Values_AreaBetweenMean&X.xlsx z-Values_CriticalValues_z_p-Values.pdf z-Values_CriticalValues_z_p-Values.xlsx Student-t_tables.pdf Student-t_tables.xlsx Finding_CVs_p-values.xlsx 14_Examples.xlsx 14_NHST_Workbook.xltx P-Value_Calculators.xlsx PowerTable.xltx

The following files accompany this module: z-Values_AreasBetweenMean&X.pdf z-Values_AreasBetweenMean&X.xlsx z-Values_CriticalValues_p-values.pdf z-Values_CriticalValues_p-values.xlsx Student-t_tables.pdf Student-t_tables.xlsx F-Distribution_.01.pdf F-Distribution_.01.xlsx F-Distribution_.05.pdf F-Distribution_.05.xlsx F-Curves.pdf t-Curves.pdf z-Curves.pdf p-values_Calculators.xlsx 15_Examples.xlsx 15_Exercises.xls

The following files accompany this module: F-Distribution_.01.pdf F-Distribution_.01.xls F-Distribution_.05.pdf F-Distribution_.05.xlsx p-value_Calculators.xlsx 16_Exercises.xlsx 16_ANOVA_Power_PostHoc.xlsx

The following files accompany this module: ChiSq_Distribution.xlsx ChiSq_Distribution.pdf p-value_Calculator.xlsx 17_ChiSq_Examples.xlsx 17_ChiSq_Exercises.xlsx

The following files accompany this module: Module18_Examples.xlsx Module18_Exercises.xlsx Student-t_table.xlsx Student-t_table.pdf

This file is associated with Clear-Sighted Statistics: Module 2: Picturing Data With Tables and Charts.

This file is associated with Clear-Sighted Statistics: Module 3: Picturing Data With Tables and Charts.

The following files accompany this module: 04_Exercises.xlsx 04_FreqDist.xlsx 04_M&Ms_Colors.xlsx

The following files accompany this module: 05_BoxAndWhisker.xlsx 05_CV_BigMac_Data.xlsx 05_DescriptiveStat-ToolPak 05_EstimatingMeanSD.xlsx 05_Exercises.xlsx 05_GeometricMean.xlsx 05_MAD.xlsx 05_M&M_Colors.xlsx 05_Mean_Outlier.xlsx 05_Median_Outlier.xlsx 05_Mode.xlsx 05_Percentiles_Quartiles.xlsx 05_Range.xlsx 05_TrimmedMean.xlsx 05_VAR_SD.xlsx 05_WgtMean_Frappachinos.xlsx

The following files accompany this module: 06_BDIs_CDIs.xlsx 06_Exercises.xls 06_GEOMEAN_index.xlsx 06_SubwaySystem_Stations.xlsx 06_UnweightedPriceIndex 06_WeightedIndex.xlsx

The following files accompany this module 07_Gombaud_Solution.xls 07_FACT_COMBIN_PERMUT.xlsx 07_Exercises.xlsx