LOYOLA UNIVERSITY CHICAGO

2024-2025 CATALOG

The Academic Catalog is the official listing of courses, programs of study, academic policies and degree requirements for Loyola University Chicago. It is published every year in advance of the next academic year.

Arrupe Statistics (ACSTA)

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ACSTA 101  Statistics  (3 Credit Hours)  
Pre-requisites: D or better in ACMAT 100 or ACSTA ready as determined by ALEKS placement exam or standardized test score  
This course provides an introduction to statistical reasoning and techniques in descriptive and inferential statistics and their applications in economics, education, genetics, medicine, physics, political science, and psychology.
IAI code: M1 902  
Course equivalencies: ISSCM/H/241/STAT103/ACST101/03  
Students will obtain a background in the fundamentals of descriptive and inferential statistics along with an understanding of their uses and misuses

Outcomes

Students will obtain a background in the fundamentals of descriptive and inferential statistics along with an understanding of their uses and misuses
ACSTA 103  Introduction to Statistics  (4 Credit Hours)  
This course provides an introduction to statistical reasoning and techniques in descriptive and inferential statistics and their applications. All foundational mathematics topics necessary for college level Statistics will be reviewed and reinforced throughout the course. Topics will include: data collection processes (observational studies, experimental design, sampling techniques, bias), descriptive methods using quantitative and qualitative data, bivariate data, correlation, least squares regression, probability theory, probability distributions (normal distributions and normal curve, binomial distribution), confidence intervals, hypothesis tests using p-values.
Course equivalencies: ISSCM/H/241/STAT103/ACST101/03  
Students will develop the skills necessary to compute, compare and analyze numbers; obtain a background in the fundamentals of descriptive and inferential statistics; develop the skills necessary to analyze graphs and data sets; develop the algebra skills necessary to calculate descriptive statistics measurements; and explain the use of data sets and statistics as tools to reach reasonable conclusions

Outcomes

Students will develop the skills necessary to compute, compare and analyze numbers; obtain a background in the fundamentals of descriptive and inferential statistics; develop the skills necessary to analyze graphs and data sets; develop the algebra skills necessary to calculate descriptive statistics measurements; and explain the use of data sets and statistics as tools to reach reasonable conclusions