Nov 22, 2024
OHIO University Undergraduate Catalog 2024-25
ET 2400 - Fundamentals of Statistics
This course is an introduction to statistics with goal to prepare students to apply statistics to analyze, evaluate, and quantify data and make decisions about processes and results that they encounter in technology related jobs. Topics include probability distributions, sampling distributions, confidence intervals, hypothesis tests, ANOVA, and simple linear regression. Course is open to students of all disciplines and does not require background in sciences and engineering for successful completion.
Requisites: MATH 1300 or 1350 or 2301 and WARNING: No credit if ECON 3810 or GEOG 2710 or GEOL 3050 or ISE 3200 or MATH 2500 or PSY 1110 or QBA 2010
Credit Hours: 3
OHIO BRICKS: Arch: Constructed World
Thematic Arches:
- Science & Technology
Repeat/Retake Information: May be retaken two times excluding withdrawals, but only last course taken counts.
Lecture/Lab Hours: 3.0 lecture
Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
Course Transferability: OTM course: TMMSL Transfer Module Mathematics, Statistics and Logic
College Credit Plus: Level 1
Learning Outcomes:
- Students will be able to identify discrete and continuous random variables and perform descriptive statistics.
- Students will be able to calculate probabilities, conditional probabilities, permutations and combinations.
- Students will be able to conduct hypothesis tests and calculate confidence intervals on population parameters utilizing point estimates from random samples.
- Students will be able to perform simple one-way ANOVA for randomized experiments.
- Students will be able to calculate simple linear regression and evaluate the strength and significance of the relationship between X and Y.
- Students will be able to perform Goodness of Fit Tests.
- Students will be able to utilize quantitative analyses for engineering solutions in order to develop statements for the support of decision-making processes and dissemination to a variety of audiences.
- Students will be able to state conclusions and related outcomes based on statistical tests (consequences and implications) logically and in a priority order.
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