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.

This video explains the different types of fixed assets and depreciation in detail and presents an example of assets side of a balance sheet.

This video explains types of liabilities in detail and lists the three major categories of equity.

This video explains the various types of equity. It also illustrates an example of liabilities side of the Balance Sheet and a picture of the whole Balance Sheet in very simple terms.

This module is assocated with Clear-Sighted Statistics: Appendix 1: Order of Mathematical Operations Transcript

This module is assocated with Clear-Sighted Statistics: Appendix 3: Common Statistical Symbols and Formulas

This file is associated with Clear-Sighted Statistics, Module 15: Two-Sample Null Hypothesis Significance Tests.

This file is associated with Clear-Sighted Statistics, Module 15: Two-Sample Null Hypothesis Significance Tests.

This file is associated with Clear-Sighted Statistics, Module 15: Two-Sample Null Hypothesis Significance Tests.

This file is associated with Clear-Sighted Statistics, Module 15: Two-Sample Null Hypothesis Significance Tests.

This file is associated with Clear-Sighted Statistics, Module 15: Two-Sample Null Hypothesis Significance Tests.

This file is associated with Clear-Sighted Statistics, Module 14: One-Sample Null hypothesis Significance Tests.

This file is associated with Clear-Sighted Statistics, Module 10: Sampling and Sampling Errors.

The following files accompany this module: 10_Exercises.xlsx

This module is assocated with Clear-Sighted Statistics: Module 10: Sampling and Sampling Errors (slides)