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STAT 201: el e Men Tary Sta Tis ti Cal in Fer Ence
0.00 - 3.00 Credits
Texas A & M University-Galveston
(TCCNS STAT 1342) Credit 3. Data col lec tion, tab u la tion and pre sen ta - tion. El e men tary de scrip tion of the tools of sta tis ti cal in fer ence; prob a bil ity, sam pling and hy poth e sis test ing. Ap pli ca tions of sta tis ti cal tech niques to prac ti cal prob lems. May not be taken for Credit af ter any other course in sta tis tics or BANA 303 has been taken.
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STAT 211: Prin Of Statistics I
3.00 Credits
Texas A & M University-Galveston
Principles of Statistics I. (3-0). Credit 3. Introduction to probability and probability distributions; sampling and descriptive measures; inference and hypothesis testing; linear regression, analysis of variance. Prerequisite: MATH 152 or 172.
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STAT 211 - Prin Of Statistics I
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STAT 212: Prin Of Statistics Ii
3.00 Credits
Texas A & M University-Galveston
Principles of Statistics II. (3-0). Credit 3. Design of experiments, model building, multiple regression, nonparametric techniques and contingency tables. Prerequisite: STAT 211.
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STAT 212 - Prin Of Statistics Ii
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STAT 225: Mech Engr Statistics
2.00 Credits
Texas A & M University-Galveston
Mechanical Engineering Statistics. (2-0) Credit 2. Introduction to statistical concepts crucial to design, development, production, and improvement of product, process or service; includes discrete and continuous probability models, statistical inference, design of experiments and statistical data analysis using graphical data summaries, model fitting and analysis of variance. Prerequisite: MATH 152 or 172.
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STAT 225 - Mech Engr Statistics
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STAT 301: Intro To Biometry
3.00 Credits
Texas A & M University-Galveston
Introduction to Biometry. (3-0). Credit 3. Intended for students in animal sciences. Introduces fundamental concepts of biometry including measures of location and variation, probability, tests of significance, regression, correlation and analysis of variance which are used in advanced courses and are being widely applied to animal-oriented industry. Credit will not be allowed for more than one of STAT 301, 302 or 303. Prerequisite: MATH 141 or 166 or equivalent.
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STAT 301 - Intro To Biometry
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STAT 302: Statistical Methods
3.00 Credits
Texas A & M University-Galveston
Statistical Methods. (3-0). Credit 3. Intended for undergraduate students in the biological sciences. Introduction to concepts of random sampling and statistical inference; estimation and testing hypotheses of means and variances; analysis of variance; regression analysis; chi-square tests. Credit will not be allowed for more than one of STAT 301, 302 or 303. Prerequisite: MATH 141 or 166 or equivalent.
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STAT 302 - Statistical Methods
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STAT 303: Statistical Methods
3.00 Credits
Texas A & M University-Galveston
Statistical Methods. (3-0). Credit 3. Intended for undergraduate students in the social sciences. Introduction to concepts of random sampling and statistical inference, estimation and testing hypotheses of means and variances, analysis of variance, regression analysis, chi-square tests. Credit will not be allowed for more than one of STAT 301, 302 or 303. Prerequisite: MATH 141 or 166 or equivalent.
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STAT 303 - Statistical Methods
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STAT 307: Sample Survey Technqs
3.00 Credits
Texas A & M University-Galveston
Sample Survey Techniques. (3-0). Credit 3. Concepts of population and sample; the organization of a sample survey; questionnaire design. Basic survey designs and computation of estimates and variances. Prerequisite: STAT 301 or 302 or 303 or INFO 303.
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STAT 307 - Sample Survey Technqs
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STAT 407: Principles Sample Surv
3.00 Credits
Texas A & M University-Galveston
Principles of Sample Surveys. (3-0). Credit 3. Principles of sample surveys and survey design; techniques for variance reduction; simple, stratified and multi-stage sampling; ratio and regression estimates; post-stratification; equal and unequal probability sampling. Prerequisite: STAT 212.
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STAT 407 - Principles Sample Surv
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STAT 408: Intro To Linear Models
3.00 Credits
Texas A & M University-Galveston
Introduction to Linear Models. (3-0). Credit 3. Introduction to the formulation of linear models and the estimation of the parameters of such models, with primary emphasis on least squares. Application to multiple regression and curve fitting. Prerequisites: STAT 212; MATH 304.
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STAT 408 - Intro To Linear Models
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